# How to Design a Website from a Reference Website Using Google Stitch 🚀 Complete Step-by-Step Guide In this complete step-by-step tutorial, you'll learn **how to design a website from a reference website using Google Stitch**. Google Stitch is an AI-powered UI design tool that can generate modern website layouts from text prompts, screenshots, wireframes, and reference designs, helping designers and developers create beautiful user interfaces in minutes. Whether you're a UI/UX designer, frontend developer, web designer, entrepreneur, student, or someone exploring AI-powered design tools, this guide will show you how to use Google Stitch to create a professional website inspired by an existing design while customizing it to match your own brand and requirements. In this video, we'll start by explaining **what Google Stitch is** and how it uses AI to generate website layouts. You'll learn how to provide a reference website, describe the changes you want, and generate a completely new design based on your requirements. We'll also discuss the importance of using reference websites for inspiration rather than copying them directly. Google Stitch helps you create original layouts that follow your design goals while maintaining your own branding, colors, typography, and content. Next, we'll walk through the complete process of designing a website using a reference website inside Google Stitch. Topics covered in this tutorial: * What is Google Stitch? * Using a reference website for inspiration * Uploading website screenshots * Using image-based prompts * Writing effective AI prompts * Generating website layouts * Customizing colors and branding * Editing typography and spacing * Modifying sections and components * Regenerating AI designs * Creating responsive website layouts * Exporting your website design * Converting designs into frontend code * Best practices for AI-assisted web design In this practical demonstration, we'll show you how to: * Open Google Stitch * Capture or upload a screenshot of a reference website * Describe the layout you want to recreate * Ask Stitch to redesign the layout with your own branding * Customize the generated homepage * Edit navigation menus, hero sections, feature cards, and footers * Refine the design using additional AI prompts * Preview the final website * Export the completed design for development We'll also cover prompt-writing tips that help generate better website designs, including how to specify: * Website type (portfolio, business, eCommerce, SaaS, blog, etc.) * Color palette * Font style * Layout preferences * Call-to-action buttons * Responsive design requirements * Branding elements * Modern UI components Google Stitch is ideal for quickly creating landing pages, company websites, startup websites, dashboards, portfolios, marketing pages, and web application interfaces. Instead of designing every section manually, AI helps generate a professional starting point that you can refine and customize. We'll also discuss best practices for using reference websites responsibly. Rather than duplicating another site's design, use references as inspiration for layout, structure, and user experience while creating unique visuals, branding, and content for your own project. By the end of this tutorial, you'll know how to use Google Stitch to design a website from a reference website, customize the generated layout, and prepare it for export and frontend development. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Google Stitch, AI design, web development, UI/UX, and technology tutorials. #GoogleStitch #AIDesign #WebDesign #UIDesign #UXDesign #WebsiteDesign #DesignToCode #FrontendDevelopment #WebDevelopment #ArtificialIntelligence #GoogleAI #ResponsiveDesign #HTML #CSS #JavaScript #DeveloperTools #NoCode #TechTutorial #LearnWebDevelopment #AIWebDesign

# How to Convert Google Stitch Design to Code | How to Export Source Code Files From Google Stitch In this complete step-by-step tutorial, you'll learn **how to convert a Google Stitch design into source code and export your project files**. Google Stitch is an AI-powered UI design tool that can generate beautiful user interfaces from text prompts or images and export them as frontend code, making it easier to move from design to development. ([Google Developers Blog][1]) Whether you're a beginner learning UI development, a frontend developer, a UX/UI designer, or an AI enthusiast exploring modern design tools, this guide will help you export your Google Stitch projects and use the generated code in your own applications. In this video, we'll start by explaining **how Google Stitch's design-to-code workflow works**. You'll learn how Stitch transforms AI-generated interfaces into frontend code that you can further customize and integrate into your web projects. ([Google Developers Blog][1]) Next, we'll walk through the complete process of exporting your project from Google Stitch. You'll learn where to find the export options, how to download your project files, and how to work with the generated code. We'll also explain what files are included in the exported project and how to organize them for further development. Topics covered in this tutorial: * What is Google Stitch? * Understanding Stitch Design-to-Code * Creating a UI design in Stitch * Generating frontend code * Exporting source code files * Downloading the project ZIP * Understanding exported project structure * Working with HTML, CSS, and frontend assets * Using exported code in your own projects * Editing generated source code * Importing designs into development workflows * Common export issues and solutions * Best practices for AI-generated frontend code In this practical demonstration, we'll show you how to: * Create or open an existing Stitch project * Review the generated UI * Access the Export menu * Download the generated project files * Extract the ZIP archive * Open the project in Visual Studio Code * Review the generated HTML, CSS, and other assets * Run the project locally in your browser * Customize and extend the generated code We'll also discuss how Google Stitch integrates into modern development workflows. You can use the exported frontend code as a starting point for web applications, refine the design in Figma, or continue development using your preferred frontend framework. Stitch is designed to bridge the gap between AI-generated designs and production-ready applications. ([Google Developers Blog][1]) If your exported ZIP doesn't contain the expected HTML or source files, we'll cover common troubleshooting tips and explain alternative export methods available in Stitch. Community reports also highlight that export behavior can occasionally vary depending on the selected export option or current platform updates. ([Reddit][2]) By the end of this tutorial, you'll know how to convert Google Stitch designs into code, export your source files, open the project in your favorite code editor, and continue building your application with confidence. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Google Stitch, AI coding, UI design, frontend development, and technology tutorials. #GoogleStitch #DesignToCode #FrontendDevelopment #WebDevelopment #UIDesign #UXDesign #AI #ArtificialIntelligence #GoogleAI #HTML #CSS #JavaScript #VSCode #Figma #Coding #DeveloperTools #AICoding #SoftwareDevelopment #TechTutorial #LearnToCode [1]: https://developers.googleblog.com/en/stitch-a-new-way-to-design-uis/?utm_source=chatgpt.com "From idea to app: Introducing Stitch, a new way to design UIs - Google Developers Blog" [2]: https://www.reddit.com/r/labsdotgoogle/comments/1u454eb/google_stitch_export_zip_only_returning_designmd/?utm_source=chatgpt.com "Google Stitch export .zip only returning design.md and screen.png — no HTML code?"

# How to Install PuTTY on Windows 11/10 🚀 Complete Step-by-Step Guide In this complete beginner-friendly tutorial, you'll learn **how to install PuTTY on Windows 11 and Windows 10**. PuTTY is a popular free and open-source SSH and Telnet client that allows users to securely connect to remote servers, Linux machines, cloud servers, and network devices from a Windows computer. Whether you're a beginner learning Linux, a system administrator, cloud engineer, DevOps professional, or working with AWS, Azure, or other cloud platforms, PuTTY is an essential tool for managing remote systems. In this video, we'll start by explaining **what PuTTY is and why it is used**. You'll learn how PuTTY enables secure remote connections using protocols such as SSH, allowing you to access and manage Linux servers from your Windows machine. We'll explain the common use cases of PuTTY, including: * Connecting to Linux servers remotely * Managing AWS EC2 instances * Accessing virtual machines * Performing server administration tasks * Managing network devices * Transferring files securely using related tools Next, we'll walk through the complete process of downloading and installing PuTTY on Windows 11 and Windows 10. You'll learn how to download the official installer, choose the correct version, complete the installation process, and launch PuTTY for the first time. Topics covered in this tutorial: * What is PuTTY? * Why use PuTTY on Windows? * PuTTY SSH client explained * Downloading PuTTY for Windows 11/10 * Installing PuTTY step by step * Choosing installation options * Launching PuTTY after installation * Understanding the PuTTY interface * Configuring SSH connections * Saving remote server sessions * Connecting to Linux servers * Using private keys with PuTTY * Introduction to PuTTYgen * Basic PuTTY troubleshooting Step-by-step installation process: 1. Download the latest PuTTY installer for Windows. 2. Open the downloaded installation file. 3. Accept the license agreement. 4. Choose the installation location. 5. Select PuTTY components to install. 6. Complete the installation wizard. 7. Open PuTTY from the Windows Start Menu. 8. Configure your first SSH connection. We'll also explain important PuTTY components, including: * PuTTY SSH Client * PuTTYgen for creating and managing SSH keys * PSCP for secure file transfers * Plink command-line connection tool After installation, we'll show how to configure a basic SSH connection by entering the remote server hostname or IP address, selecting the SSH protocol, and connecting securely. We'll also discuss common installation and connection issues, such as: * PuTTY not launching * Incorrect SSH settings * Connection timeout errors * Authentication failures * Private key configuration problems * Firewall and network restrictions PuTTY is widely used by IT professionals because it provides a lightweight and reliable way to manage remote systems. It is especially useful for connecting to Linux servers hosted on AWS EC2, virtual machines, dedicated servers, and enterprise environments. By the end of this tutorial, you'll know how to install PuTTY on Windows 11/10, understand its main features, and be ready to connect to remote servers using SSH. If you found this tutorial helpful, don’t forget to like the video, subscribe to the channel, and turn on notifications for more Windows, Linux, AWS, cloud computing, DevOps, and technology tutorials. #PuTTY #Windows11 #Windows10 #SSH #SSHClient #Linux #RemoteServer #AWS #EC2 #CloudComputing #DevOps #SystemAdministration #NetworkAdministration #ITSupport #WindowsTutorial #LinuxTutorial #AWSBeginner #CloudEngineer #TechTutorial #RemoteAccess

# How to Use OpenAI Codex Skill 🚀 Complete Beginner Guide In this complete beginner-friendly tutorial, you'll learn **how to use OpenAI Codex Skill for AI-powered coding, automation, and software development workflows**. OpenAI Codex is a powerful AI coding assistant designed to help developers write code, understand projects, debug issues, automate tasks, and improve productivity. Whether you're a beginner learning programming, a software developer, DevOps engineer, cloud engineer, or someone exploring AI-assisted development tools, this guide will help you understand how to use Codex effectively. In this video, we'll start by explaining **what OpenAI Codex Skill is and how it works**. You'll learn how Codex can assist with software development tasks by understanding your instructions, analyzing code, generating solutions, and helping you complete complex programming workflows. We'll explore the different ways Codex can help developers, including: * Writing new code * Explaining existing code * Debugging programming errors * Refactoring applications * Creating scripts and automation tools * Generating documentation * Understanding large codebases * Improving development workflows Next, we'll walk through how to get started with Codex and how to use it effectively. You'll learn how to provide clear instructions, describe coding requirements, share project context, and ask Codex to perform development tasks. Topics covered in this tutorial: * What is OpenAI Codex? * Understanding Codex Skills * Setting up Codex for development * Using Codex with coding projects * Writing effective prompts for Codex * Generating code with AI assistance * Reviewing and modifying generated code * Debugging errors using Codex * Refactoring and improving code quality * Working with existing repositories * Automating repetitive programming tasks * Best practices for AI-assisted coding We'll also demonstrate real-world examples of using Codex, including: * Creating application features * Building scripts * Explaining unfamiliar code * Fixing bugs * Improving project structure * Automating developer workflows You'll learn how to communicate effectively with Codex by providing details such as programming language, project goals, expected behavior, technical requirements, and error messages. Clear instructions help Codex generate more accurate and useful results. We'll also discuss important considerations when using AI coding assistants, including reviewing generated code, understanding security implications, testing changes before deployment, and following software development best practices. OpenAI Codex can be a valuable tool for developers because it helps reduce repetitive work, accelerate learning, and improve productivity. It can assist beginners in understanding programming concepts while helping experienced developers complete tasks faster. By the end of this tutorial, you'll understand what OpenAI Codex Skill is, how to use it for coding tasks, and how to integrate AI assistance into your software development workflow. If you found this tutorial helpful, don’t forget to like the video, subscribe to the channel, and turn on notifications for more AI, programming, cloud computing, DevOps, and technology tutorials. #OpenAI #Codex #OpenAICodex #AICoding #ArtificialIntelligence #AIProgramming #CodingAssistant #DeveloperTools #SoftwareDevelopment #Programming #Automation #DevOps #MachineLearning #GenerativeAI #CodeGeneration #AIEngineer #TechTutorial #LearnCoding #AIDevelopment #FutureOfCoding

# Getting Started with Google Colab | How to Use Google Colab In this complete beginner-friendly tutorial, you'll learn how to get started with **Google Colab (Google Colaboratory)** and use it for Python programming, data science, machine learning, deep learning, and AI development—all from your web browser without installing anything on your computer. Google Colab is a free cloud-based Jupyter Notebook environment that allows you to write and execute Python code online. It comes with pre-installed libraries for data science and machine learning and provides access to powerful hardware such as GPUs and TPUs, making it an excellent platform for students, developers, researchers, and AI enthusiasts. Whether you're learning Python, building machine learning models, analyzing data, or experimenting with artificial intelligence, this step-by-step guide will help you understand the basics of Google Colab and start working on your own projects. In this video, we'll begin by opening Google Colab, creating your first notebook, and exploring the user interface. You'll learn how to create and organize code cells, add text using Markdown, run Python code, save your notebooks, and share them with others. Next, we'll demonstrate how to install Python libraries, upload datasets, import files from Google Drive, and use popular libraries like NumPy, Pandas, Matplotlib, TensorFlow, and PyTorch. You'll also learn how to execute code, debug errors, and manage notebook sessions efficiently. We'll explore one of Google Colab's most powerful features—free GPU and TPU access. You'll learn how to enable hardware acceleration for machine learning and deep learning workloads, helping you train AI models much faster than on a standard computer. Additionally, we'll cover best practices for organizing notebooks, collaborating with others, managing runtime sessions, and avoiding common mistakes that beginners often encounter. Topics covered in this tutorial: * What is Google Colab? * Benefits of using Google Colab * Creating your first notebook * Understanding the Colab interface * Running Python code * Using Markdown cells * Installing Python packages * Uploading datasets and files * Connecting Google Drive * Importing popular Python libraries * Enabling GPU and TPU acceleration * Saving and sharing notebooks * Collaborating with others * Common troubleshooting tips * Best practices for beginners Google Colab is one of the easiest ways to start learning Python, data science, machine learning, and artificial intelligence. Since everything runs in the cloud, you don't need to worry about installing Python, configuring environments, or managing dependencies. Simply open your browser, create a notebook, and start coding. By the end of this tutorial, you'll know how to use Google Colab effectively and be ready to build Python applications, analyze data, train machine learning models, and explore AI projects with confidence. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Python, AI, machine learning, data science, and programming tutorials. #GoogleColab #Colab #Python #MachineLearning #ArtificialIntelligence #DataScience #JupyterNotebook #DeepLearning #TensorFlow #PyTorch #Programming #Google #LearnPython #Coding #AITools #CloudComputing #DataAnalysis #TechTutorial #BeginnerPython #ML

# How to Use Claude Design In this step-by-step tutorial, you'll learn how to use **Claude Design** to create modern user interfaces, generate design ideas, and streamline your UI/UX workflow with the help of AI. Claude Design enables developers, designers, and product teams to quickly transform ideas into visually appealing interfaces using natural language prompts, making it easier to prototype, iterate, and build professional applications. Whether you're a UI/UX designer, frontend developer, product manager, startup founder, or AI enthusiast, this guide will help you understand the core features of Claude Design and show you how to use it effectively for your projects. In this video, we'll start with an introduction to Claude Design and explore its interface. You'll learn how to create a new project, write effective prompts, and generate your first AI-powered design. We'll demonstrate how to create landing pages, dashboards, mobile app interfaces, forms, and reusable UI components with just a few simple instructions. Next, we'll show you how to refine AI-generated designs by modifying layouts, updating colors, adjusting typography, and improving spacing. You'll also learn how to iterate on your designs, experiment with different styles, and maintain consistency across your project using design systems and reusable components. We'll also cover practical workflows for collaborating with team members, exporting designs, and preparing your UI for implementation in frontend frameworks such as React, Next.js, Vue, or Flutter. Additionally, you'll learn prompt-writing techniques that help generate more accurate and professional design results. Topics covered in this tutorial: * What is Claude Design? * Getting started with Claude Design * Understanding the interface * Creating your first design * Writing effective AI prompts * Generating landing pages * Designing dashboards and mobile apps * Editing AI-generated layouts * Customizing colors and typography * Working with reusable UI components * Improving design consistency * Exporting and sharing designs * Best practices for AI-assisted UI design * Common mistakes to avoid * Tips for beginners Claude Design makes it easier to move from an idea to a polished interface by combining AI-powered design generation with an intuitive workflow. Whether you're building websites, SaaS dashboards, mobile applications, or prototypes, it can help you design faster while maintaining a high-quality user experience. By the end of this tutorial, you'll know how to create, edit, and optimize AI-generated designs using Claude Design, helping you speed up your design process and improve productivity. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more AI tools, UI/UX design, frontend development, and technology tutorials. #ClaudeDesign #ClaudeAI #AIDesign #UIDesign #UXDesign #ArtificialIntelligence #AITools #WebDesign #FrontendDevelopment #UIUX #DesignSystem #Prototype #ProductDesign #WebDevelopment #GenerativeAI #DeveloperTools #TechTutorial #LearnDesign #DesignTools #AIWorkflow

#How to Install Ollama CLI on Windows 11 In this complete step-by-step tutorial, you'll learn how to install **Ollama CLI** on **Windows 11** and start running powerful open-source AI models locally on your computer. Ollama makes it easy to download, manage, and run large language models (LLMs) directly from your terminal without relying on cloud services, giving you greater privacy, lower latency, and full control over your AI workflows. Ollama runs as a native Windows application and provides the `ollama` command in Command Prompt, PowerShell, and Windows Terminal. ([Ollama][1]) Whether you're a software developer, AI enthusiast, machine learning engineer, researcher, or student, this guide will help you install Ollama, configure your environment, and run your first local AI model in just a few minutes. In this video, we'll begin by downloading the latest version of Ollama for Windows 11 from the official website and installing it step by step. You'll learn about the minimum system requirements, GPU support, storage requirements for AI models, and how Ollama automatically runs in the background after installation. ([Ollama][1]) Next, we'll verify that the installation was successful by opening Command Prompt, PowerShell, or Windows Terminal and checking the Ollama version. From there, we'll download and run your first AI model using the CLI, explore common commands, and explain how Ollama manages locally installed models. We'll also demonstrate how to: * Download AI models from the Ollama library * Run your first local LLM * List installed models * Update existing models * Remove unused models * Stop running models * Configure model storage locations * Use the built-in local API * Troubleshoot common installation issues Topics covered in this tutorial: * What is Ollama? * Why run AI models locally? * Ollama system requirements * Downloading Ollama for Windows 11 * Installing Ollama CLI * Verifying the installation * Running your first AI model * Essential Ollama CLI commands * Managing downloaded models * Changing the model storage directory * Using Ollama with Windows Terminal * Accessing the local API * Updating Ollama * Troubleshooting common setup issues * Best practices for running local AI models Ollama is an excellent choice for developers who want to run models such as Llama, Gemma, Qwen, DeepSeek, Mistral, and many others directly on their local machine. It also integrates with popular AI development tools and coding assistants, making it a powerful foundation for building AI-powered applications and workflows. ([GitHub][2]) By the end of this tutorial, you'll have Ollama CLI fully installed on Windows 11 and be ready to run, manage, and experiment with open-source AI models entirely on your own computer. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more AI tools, local LLMs, programming, Windows 11, and software development tutorials. #Ollama #OllamaCLI #Windows11 #LocalAI #LLM #ArtificialIntelligence #OpenSourceAI #AIModels #Programming #DeveloperTools #MachineLearning #DeepSeek #Llama #Gemma #Mistral #Qwen #CommandLine #AITools #TechTutorial #SoftwareDevelopment [1]: https://docs.ollama.com/windows?utm_source=chatgpt.com "Windows - Ollama" [2]: https://github.com/ollama/ollama/blob/main/README.md?utm_source=chatgpt.com "ollama/README.md at main · ollama/ollama · GitHub"

# First Impressions of Claude Fable 5 | AI Coding & Reasoning Test In this video, we take a first look at **Claude Fable 5**, Anthropic’s latest frontier AI model, and put it through a series of coding, reasoning, and problem-solving tests. Claude Fable 5 is designed for advanced software engineering, long-context understanding, complex analysis, and agent-style workflows, making it one of the most capable publicly available AI models for developers and technical users. ([Anthropic][1]) Whether you're a programmer, AI enthusiast, researcher, DevOps engineer, or someone interested in the future of AI-assisted development, this video will give you an overview of what Claude Fable 5 can do and how it compares to previous AI models. In this hands-on test, we explore Claude Fable 5’s capabilities in real-world scenarios, including code generation, debugging, reasoning tasks, and long-context understanding. We evaluate how well the model handles programming challenges, explains complex concepts, refactors code, and solves multi-step problems. Claude Fable 5 introduces major improvements in reasoning, coding accuracy, and context handling. It supports a massive context window of up to 1 million tokens and can generate long, structured outputs, making it useful for working with large codebases, documentation, and complex projects. ([Simon Willison’s Weblog][2]) We also test how the model performs with: * Writing code from prompts * Fixing bugs and debugging errors * Refactoring existing code * Understanding large projects * Solving logic and reasoning problems * Explaining technical concepts * Working with long documents * Comparing AI coding workflows * Agent-style development tasks Additionally, we discuss Claude Fable 5’s strengths, limitations, and ideal use cases for developers and technical professionals. While the model excels at coding, analysis, and reasoning tasks, we also explore where human review remains important and how AI tools fit into modern software development workflows. ([Medium][3]) Topics covered in this video: * What is Claude Fable 5? * New features and improvements * AI coding performance * Reasoning and problem-solving tests * Long-context capabilities * Code generation and debugging * Agent workflows * Comparing results with earlier models * Real-world developer use cases * Strengths and limitations * First impressions and final thoughts Claude Fable 5 represents a significant step forward in AI-assisted coding and reasoning, offering powerful tools for developers, researchers, and technical teams. Whether you're building applications, analyzing large datasets, or exploring advanced AI workflows, this model demonstrates how rapidly AI capabilities are evolving. ([Anthropic][1]) If you found this video helpful, don’t forget to like, subscribe, and turn on notifications for more AI tools, coding assistants, programming tutorials, and technology content. #ClaudeFable5 #ClaudeAI #Anthropic #AI #ArtificialIntelligence #AICoding #CodingAssistant #Programming #SoftwareDevelopment #DeveloperTools #ReasoningAI #LLM #GenerativeAI #Coding #TechReview #AIAgent #Automation #MachineLearning #AITools #TechTutorial [1]: https://www.anthropic.com/news/claude-fable-5-mythos-5?utm_source=chatgpt.com "Claude Fable 5 and Claude Mythos 5" [2]: https://simonwillison.net/2026/Jun/9/claude-fable-5/?utm_source=chatgpt.com "Initial impressions of Claude Fable 5" [3]: https://ismatbabir.medium.com/claude-fable-5-review-2026-mythos-class-ai-pricing-verdict-9f76abf75df5?utm_source=chatgpt.com "Claude Fable 5 Review 2026: Mythos-Class AI, Pricing & Verdict"

# How to Get Started with Hugging Face – Open Source AI Models and Datasets Welcome to this beginner-friendly tutorial on **Hugging Face**, the leading open-source platform for AI models, datasets, and machine learning applications. In this step-by-step guide, you'll learn how to get started with Hugging Face, explore its vast collection of open-source AI models, use ready-made datasets, and discover the tools that power modern artificial intelligence applications. Whether you're a beginner in AI, a machine learning engineer, a data scientist, a software developer, or simply curious about generative AI, this tutorial will help you understand the Hugging Face ecosystem and start building AI-powered applications with confidence. Hugging Face has become one of the most important platforms in the AI community, hosting millions of models, datasets, demos, and applications for tasks such as text generation, image generation, speech recognition, translation, computer vision, natural language processing (NLP), and more. Developers and researchers around the world use Hugging Face to share, discover, and deploy state-of-the-art AI models. In this video, we'll begin by creating a free Hugging Face account and exploring the platform's main features. You'll learn how to navigate the Model Hub, search for pre-trained AI models, browse public datasets, and understand model documentation, licenses, and usage examples. Next, we'll demonstrate how to download and use AI models with the Hugging Face Transformers library. You'll learn how to install the required Python packages, load pre-trained models, run inference, and experiment with tasks such as text generation, summarization, question answering, sentiment analysis, image classification, and more. We'll also explore Hugging Face Spaces, where you can discover and deploy AI-powered web applications built with Gradio or Streamlit. Additionally, you'll learn about Hugging Face Inference API, model hosting, fine-tuning concepts, and how to share your own models and datasets with the community. Topics covered in this tutorial: * What is Hugging Face? * Creating a Hugging Face account * Exploring the Model Hub * Finding open-source AI models * Browsing public datasets * Understanding model cards and licenses * Installing the Transformers library * Running your first AI model * Natural Language Processing (NLP) models * Computer Vision models * Hugging Face Spaces * Using the Inference API * Uploading your own models * Best practices for using open-source AI * Tips for beginners Hugging Face makes it easier than ever to build AI-powered applications using open-source models and datasets. Whether you're creating chatbots, image classifiers, language translators, recommendation systems, or custom AI solutions, Hugging Face provides the tools and community to help you succeed. By the end of this tutorial, you'll understand the Hugging Face ecosystem and know how to find, use, and experiment with open-source AI models and datasets for your own machine learning and software development projects. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more AI, machine learning, Python, programming, and technology tutorials. #HuggingFace #ArtificialIntelligence #MachineLearning #OpenSourceAI #AIModels #Datasets #Transformers #Python #DeepLearning #GenerativeAI #NLP #ComputerVision #DataScience #AITools #LLM #TechTutorial #Programming #LearnAI #AIDevelopment #SoftwareDevelopment

In this complete step-by-step tutorial, you'll learn how to install and set up **Hermes Agent** on Windows 11. Hermes Agent, developed by Nous Research, is an open-source AI agent that can chat, write code, automate tasks, browse the web, use external tools, and interact with multiple AI providers from a single interface. It supports both a desktop application and a command-line interface (CLI), making it suitable for developers, researchers, DevOps engineers, and AI enthusiasts. ([Hermes Agent][1]) Whether you're new to AI agents or looking for a powerful automation tool for coding and productivity, this guide will walk you through the complete installation and configuration process on Windows 11. In this video, we'll start by downloading and installing Hermes Agent using the recommended Windows installation method. You'll learn how to install the desktop application or perform a native PowerShell installation, verify that everything is working correctly, and launch Hermes for the first time. The installer automatically configures the required dependencies, including Python, Node.js, and other supporting tools, making the setup process simple even for beginners. ([GitHub][2]) Next, we'll walk through the initial setup wizard, where you'll configure your preferred AI provider, authenticate using your API key or account, and customize Hermes Agent for your workflow. You'll also learn how to choose AI models, enable built-in tools, and configure optional integrations. We'll then explore the Hermes Agent interface and demonstrate how to use it for everyday tasks such as AI chat, code generation, debugging, project analysis, terminal automation, and file management. You'll see how Hermes can understand project context, automate repetitive tasks, and assist with software development directly from your desktop or terminal. Additionally, we'll cover advanced features such as connecting MCP (Model Context Protocol) servers, enabling browser automation, configuring external tools, managing settings, updating Hermes Agent, and troubleshooting common installation or configuration issues. Topics covered in this tutorial: * What is Hermes Agent? * Hermes Agent system requirements * Downloading Hermes Agent * Installing Hermes Agent on Windows 11 * Native Windows vs WSL2 installation * Running the initial setup wizard * Configuring AI providers * Setting up API keys * Understanding the Hermes interface * AI chat and coding assistance * Terminal and automation features * Connecting MCP servers * Browser and tool integrations * Updating Hermes Agent * Troubleshooting common setup issues * Best practices for using Hermes Agent Hermes Agent is a powerful AI assistant designed to go beyond simple chat by integrating with your development environment, tools, and workflows. Whether you're writing code, automating repetitive tasks, researching information, or managing projects, Hermes can help you work more efficiently with AI-powered assistance. By the end of this tutorial, you'll have Hermes Agent fully installed and configured on Windows 11, ready to help you code, automate workflows, and interact with your favorite AI models from a single, unified interface. ([Hermes Agent][1]) If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more AI agents, programming, automation, Windows 11, and software development tutorials. #HermesAgent #NousResearch #Windows11 #AIAgent #ArtificialIntelligence #AITools #Programming #SoftwareDevelopment #DeveloperTools #Automation #CLI #Coding #AIProgramming #MCP #DevOps #Terminal #OpenSource #TechTutorial #Productivity #AIAssistant [1]: https://hermes-agent.nousresearch.com/docs/?utm_source=chatgpt.com "Hermes Agent Documentation | Hermes Agent" [2]: https://github.com/NousResearch/hermes-agent/blob/main/website/docs/getting-started/installation.md?utm_source=chatgpt.com "hermes-agent/website/docs/getting-started/installation.md at main · NousResearch/hermes-agent · GitHub"

# How to Set Up DeepSeek DeepCode CLI In this complete step-by-step tutorial, you'll learn how to set up **DeepSeek DeepCode CLI** and start using it for AI-powered coding directly from your terminal. Whether you're a software developer, DevOps engineer, student, or AI enthusiast, this guide will walk you through the installation, configuration, authentication, and everyday usage of DeepCode CLI to boost your development workflow. DeepCode CLI brings the power of DeepSeek's AI models to your command line, allowing you to generate code, explain complex functions, debug issues, refactor existing code, and automate development tasks without leaving your terminal. It's an excellent tool for developers who prefer working in the command line while still benefiting from modern AI-assisted programming. In this video, we'll start by installing DeepCode CLI on your system and verifying that the installation was successful. You'll learn how to configure your environment, authenticate with your DeepSeek account or API key (if required), and set up the CLI for your preferred development workflow. Next, we'll demonstrate how to use DeepCode CLI with real-world examples. You'll learn how to generate code snippets, explain existing code, optimize functions, fix bugs, create documentation, and interact with AI directly from the terminal. We’ll also cover how DeepCode CLI works with local project files to provide context-aware assistance. Additionally, you'll learn how to configure environment variables, customize CLI settings, update the tool to the latest version, and troubleshoot common installation or authentication issues. We'll also share best practices for writing effective prompts to get the most accurate and useful responses from the AI. Topics covered in this tutorial: * What is DeepSeek DeepCode CLI? * Why use an AI coding CLI * Installing DeepCode CLI * Verifying the installation * Setting up authentication * Configuring API keys or account access * Understanding the CLI interface * Running your first AI command * Generating code with AI * Explaining and refactoring code * Debugging with DeepCode CLI * Working with project context * Updating DeepCode CLI * Troubleshooting common setup issues * Best practices for AI-assisted development DeepCode CLI helps streamline software development by bringing AI-powered coding assistance directly into your terminal. Whether you're writing new applications, maintaining existing projects, or learning a new programming language, it can help improve productivity, reduce repetitive tasks, and accelerate development. By the end of this tutorial, you'll have DeepSeek DeepCode CLI fully installed and configured, ready to assist you with coding, debugging, documentation, and automation from the command line. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more AI coding tools, programming tutorials, command-line utilities, and software development guides. #DeepSeek #DeepCode #DeepSeekCLI #CLI #AIProgramming #Coding #DeveloperTools #SoftwareDevelopment #ArtificialIntelligence #AITools #CommandLine #Terminal #Programming #CodeGeneration #DevOps #TechTutorial #LearnProgramming #Automation #CodingAssistant #AICoding

# How to Use Gemini Gems | Create Your Own AI Assistants In this complete step-by-step tutorial, you'll learn how to use **Gemini Gems** and create your own custom AI assistants with Google Gemini. Gemini Gems allow you to customize Gemini for specific tasks, workflows, and personal needs by creating specialized AI helpers with custom instructions, knowledge, and behaviors. Whether you want an AI assistant for coding, writing, learning, productivity, research, business tasks, or everyday automation, Gemini Gems can help you build a personalized AI experience tailored to your requirements. In this video, we’ll start by explaining what Gemini Gems are and how they work. Unlike a general-purpose AI chatbot, a Gem is designed for a specific purpose. You can create a Gem that acts as a coding assistant, study tutor, writing editor, project manager, fitness planner, business consultant, or any other specialized AI assistant. You’ll learn how to access Gemini Gems, create a new custom Gem, define its purpose, write effective instructions, and customize how your AI assistant responds. We’ll also show you how to improve your Gem by adding clear guidelines, setting its personality, and providing detailed context so it can better understand your goals. This tutorial also covers practical examples of creating useful AI assistants. You’ll see how to build Gems for software development, content creation, learning new skills, analyzing information, organizing tasks, and improving productivity. Topics covered in this tutorial: * What are Gemini Gems? * How Gemini Gems work * Creating your first custom AI assistant * Accessing Gemini Gems * Writing effective Gem instructions * Customizing AI behavior and responses * Creating a coding assistant * Creating a writing assistant * Creating a study tutor * Creating a productivity assistant * Adding context and guidelines * Improving AI responses * Managing and editing your Gems * Best practices for creating custom AI assistants * Real-world use cases for Gemini Gems Gemini Gems make AI more personal by allowing you to create assistants that match your specific workflow. Instead of repeating the same instructions every time you start a conversation, you can save your preferences and create a dedicated AI assistant that is ready whenever you need it. By the end of this tutorial, you’ll know how to create, customize, and use Gemini Gems effectively to enhance your productivity and build your own AI-powered workflows. If you found this tutorial helpful, don’t forget to like the video, subscribe to the channel, and turn on notifications for more Google Gemini, AI tools, automation, productivity, and technology tutorials. #Gemini #GeminiGems #GoogleGemini #AI #ArtificialIntelligence #AIAssistant #AITools #GenerativeAI #GoogleAI #MachineLearning #AIProductivity #ChatGPTAlternative #Automation #PromptEngineering #FutureOfAI #TechTutorial #AIWorkflow #ProductivityTools #LearnAI #DigitalAssistant

# How to Install Ubuntu 26.04 LTS on VMware Fusion for Mac In this complete step-by-step tutorial, you'll learn how to install **Ubuntu 26.04 LTS** on **VMware Fusion** for Mac. Whether you're using an Intel-based Mac or an Apple Silicon Mac (M1, M2, M3, or M4), this guide will walk you through the entire installation process so you can run Ubuntu in a virtual machine without modifying your macOS installation. Ubuntu 26.04 LTS is the latest Long Term Support release, offering enhanced security, improved performance, updated software packages, and long-term stability. Running Ubuntu inside VMware Fusion provides a safe and flexible environment for software development, Linux learning, DevOps, cloud computing, cybersecurity, and system administration. In this video, we'll start by downloading the Ubuntu 26.04 LTS ISO image and creating a new virtual machine in VMware Fusion. You'll learn how to configure virtual hardware settings such as CPU cores, memory, storage, networking, and firmware options to ensure the best performance for your Ubuntu virtual machine. We also explain the differences between Intel Macs and Apple Silicon Macs, including guest operating system compatibility and architecture considerations. If you're using an Apple Silicon Mac, you'll learn which Ubuntu image to download and how to configure VMware Fusion for ARM-based virtual machines. After creating the virtual machine, we'll guide you through the Ubuntu installation process, including language selection, keyboard layout, disk configuration, user account creation, and initial system setup. Every step is explained clearly, making this tutorial suitable for both beginners and experienced users. Once Ubuntu is installed, we'll cover essential post-installation tasks such as updating the operating system, installing VMware Tools (Open VM Tools), enabling shared clipboard, configuring shared folders, adjusting display resolution, and optimizing virtual machine performance for a smoother experience. Topics covered in this tutorial: * What is Ubuntu 26.04 LTS? * Why use VMware Fusion on Mac * Intel Mac vs Apple Silicon compatibility * Downloading the Ubuntu 26.04 LTS ISO * Creating a new virtual machine * Configuring CPU, RAM, storage, and networking * Installing Ubuntu 26.04 LTS step by step * Creating your Linux user account * Updating Ubuntu after installation * Installing Open VM Tools * Shared clipboard and shared folders * Display and resolution settings * Performance optimization tips * Troubleshooting common installation issues * Best practices for running Ubuntu in VMware Fusion Ubuntu running in VMware Fusion is an excellent environment for learning Linux, developing applications, testing software, building cloud-native solutions, and experimenting with open-source technologies—all while keeping your macOS installation unchanged. By the end of this tutorial, you'll have a fully functional Ubuntu 26.04 LTS virtual machine running on your Mac, ready for programming, development, DevOps, cybersecurity, and everyday Linux tasks. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Ubuntu, Linux, macOS, VMware Fusion, virtualization, and technology tutorials. #Ubuntu2604 #Ubuntu #VMwareFusion #Mac #macOS #Linux #UbuntuLTS #VirtualMachine #Virtualization #AppleSilicon #IntelMac #OpenSource #Programming #DevOps #CloudComputing #SystemAdministration #LinuxTutorial #DeveloperTools #TechTutorial #LearnLinux

# How to Install VMware Fusion on Mac (Step-by-Step) In this complete step-by-step tutorial, you'll learn how to install **VMware Fusion** on a Mac. Whether you're using an Intel-based Mac or an Apple Silicon Mac (M1, M2, M3, or M4), this guide will walk you through the entire installation process so you can create and run virtual machines on macOS with ease. VMware Fusion is one of the most popular virtualization solutions for macOS, allowing you to run multiple operating systems such as Windows, Linux, and other supported operating systems without modifying your primary macOS installation. It is widely used by developers, IT professionals, students, QA engineers, cybersecurity enthusiasts, and anyone who needs multiple operating systems on a single Mac. In this video, we'll start by downloading VMware Fusion from the official VMware website and installing it on macOS. You'll learn about the system requirements, supported macOS versions, licensing options, and the differences between Intel and Apple Silicon Macs. We also explain which guest operating systems are supported on each platform and what limitations you should be aware of. After installation, we'll walk through the initial setup process, including granting the necessary macOS permissions, configuring VMware Fusion settings, and preparing the software for creating virtual machines. You'll also learn how to import existing virtual machines, create new VMs from ISO files, and optimize your virtualization environment for the best performance. Additionally, we'll cover useful features such as snapshots, shared folders, drag-and-drop, shared clipboard, networking options, and display settings. We'll also discuss common installation problems and how to troubleshoot them if VMware Fusion doesn't launch or install correctly. Topics covered in this tutorial: * What is VMware Fusion? * VMware Fusion system requirements * Intel Mac vs Apple Silicon compatibility * Downloading VMware Fusion * Installing VMware Fusion on macOS * Granting required macOS permissions * Initial VMware Fusion setup * Creating your first virtual machine * Installing operating systems from ISO files * Shared folders and shared clipboard * Virtual networking basics * Snapshots and virtual machine management * Performance optimization tips * Troubleshooting installation issues * Best practices for virtualization on Mac VMware Fusion is an excellent tool for running Windows, Linux, and other operating systems alongside macOS, making it ideal for software development, testing, IT administration, cybersecurity labs, and learning new operating systems without needing additional hardware. By the end of this tutorial, you'll have VMware Fusion installed and configured on your Mac, ready to create virtual machines and explore multiple operating systems in a secure and flexible environment. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more macOS, VMware, virtualization, Linux, Windows, and technology tutorials. #VMwareFusion #Mac #macOS #Virtualization #VirtualMachine #VMware #AppleSilicon #IntelMac #Linux #Windows #Ubuntu #TechTutorial #DeveloperTools #SystemAdministration #CloudComputing #DevOps #Programming #LearnVirtualization #ITTraining #Technology

# How to Install Ubuntu 26.04 LTS on VirtualBox on Mac | macOS In this complete step-by-step tutorial, you'll learn how to install **Ubuntu 26.04 LTS** on **VirtualBox** running on **macOS**. Whether you're using an Intel-based Mac or an Apple Silicon (M1, M2, M3, or M4) Mac, this guide explains the best approach for creating a Linux virtual machine and getting Ubuntu up and running for development, learning, and testing. Ubuntu 26.04 LTS is the latest Long Term Support release, offering improved performance, enhanced security, updated software packages, and five years of official support. Running Ubuntu inside VirtualBox allows you to explore Linux without modifying your macOS installation, making it perfect for developers, students, IT professionals, and Linux beginners. In this video, we'll walk through the complete installation process from start to finish. You'll learn how to download the Ubuntu 26.04 LTS ISO, install Oracle VirtualBox on macOS, create a new virtual machine, configure CPU, memory, storage, and networking settings, and install Ubuntu inside the virtual environment. We'll also discuss the differences between Intel Macs and Apple Silicon Macs. Since VirtualBox currently has different capabilities depending on your Mac's processor, we'll explain what works on each platform and mention alternative virtualization solutions for Apple Silicon users if needed. After Ubuntu is installed, we'll cover essential post-installation tasks, including updating the operating system, installing VirtualBox Guest Additions (where supported), enabling shared clipboard, configuring shared folders, adjusting display resolution, and optimizing performance for the best virtual machine experience. Topics covered in this tutorial: * What is Ubuntu 26.04 LTS? * Why use Ubuntu in a virtual machine * Intel Mac vs Apple Silicon Mac compatibility * Downloading the Ubuntu 26.04 LTS ISO * Installing VirtualBox on macOS * Creating a new Ubuntu virtual machine * Configuring CPU, RAM, and virtual disk * Installing Ubuntu 26.04 LTS step by step * Setting up your user account * Updating Ubuntu after installation * Installing VirtualBox Guest Additions * Shared clipboard and shared folders * Full-screen mode and display settings * Performance optimization tips * Troubleshooting common installation issues Running Ubuntu in VirtualBox is an excellent way to learn Linux, develop software, test applications, practice system administration, and experiment with open-source tools—all without affecting your primary macOS installation. By the end of this tutorial, you'll have a fully functional Ubuntu 26.04 LTS virtual machine running on your Mac, ready for programming, DevOps, cloud computing, cybersecurity, and everyday Linux use. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Linux, macOS, virtualization, programming, and technology tutorials. #Ubuntu2604 #Ubuntu #VirtualBox #macOS #Mac #Linux #LinuxTutorial #VirtualMachine #UbuntuLTS #OpenSource #Programming #DeveloperTools #DevOps #CloudComputing #SystemAdministration #LearnLinux #Virtualization #TechTutorial #AppleSilicon #IntelMac

# How to Access and Control a Linux Virtual Machine Using PuTTY In this step-by-step tutorial, you’ll learn how to access and fully control a Linux virtual machine using **PuTTY** from Windows 11. PuTTY is a popular SSH client that allows you to securely connect to Linux systems running in VirtualBox, VMware, or cloud environments and manage them using the command line. This guide is perfect for beginners learning Linux, system administrators managing servers, DevOps engineers working with remote systems, and students practicing Linux commands in a virtual environment. --- ## What You Will Learn By the end of this tutorial, you will be able to: * Connect to a Linux VM using PuTTY * Run Linux commands remotely from Windows 11 * Manage files, users, and services on your VM * Control your Linux system using SSH securely --- ## Step 1: Install PuTTY on Windows 11 1. Download PuTTY from the official website 2. Install the Windows 64-bit version 3. Open PuTTY after installation PuTTY is a lightweight SSH client used to connect to Linux systems securely over a network. --- ## Step 2: Find Your Linux VM IP Address On your Linux virtual machine, open the terminal and run: ```bash id="x8v9k1" ip a ``` Look for an IP like: * `192.168.x.x` * `10.0.x.x` This is the address you will use in PuTTY. --- ## Step 3: Enable SSH on Linux VM Install and start the SSH service: For Ubuntu/Debian: ```bash id="sshsetup1" sudo apt update sudo apt install openssh-server -y sudo systemctl enable ssh sudo systemctl start ssh ``` Check status: ```bash id="sshstatus1" sudo systemctl status ssh ``` --- ## Step 4: Configure VirtualBox / VMware Network To allow PuTTY access: * **Bridged Adapter (Best Option):** VM gets same network as host * **NAT + Port Forwarding:** Forward port 22 to VM * **Host-Only:** Works only between host and VM 👉 For beginners, Bridged Adapter is the easiest and most reliable. --- ## Step 5: Connect Using PuTTY 1. Open PuTTY 2. Enter Linux VM IP in **Host Name** 3. Set Port: `22` 4. Select **SSH** 5. Click **Open** --- ## Step 6: Login to Your Linux VM A terminal window will appear: * Enter your Linux username * Enter password (hidden while typing) If correct, you are now connected to your Linux VM. --- ## Step 7: Control Your Linux VM Using PuTTY Once connected, you can fully manage your Linux system: ### System Control Commands ```bash id="syscmd1" sudo reboot sudo shutdown now ``` ### File Management ```bash id="filecmd1" ls cd /home mkdir test nano file.txt ``` ### System Updates ```bash id="update1" sudo apt update && sudo apt upgrade -y ``` ### Process Management ```bash id="proc1" top ps aux ``` --- ## Step 8: Improve Security with SSH Keys (Optional) Instead of passwords, you can use SSH keys: * Generate key using PuTTYgen * Add public key to `~/.ssh/authorized_keys` * Login without password This is widely used in production servers. --- ## Common Problems & Fixes **Connection timed out** * Check VM IP address * Ensure SSH service is running * Use Bridged networking **Permission denied** * Wrong username/password * SSH key mismatch **Port 22 not working** ```bash id="firewall1" sudo ufw allow ssh ``` --- ## Final Thoughts Using PuTTY to access and control a Linux virtual machine gives you real-world experience in system administration and server management. Once connected, your VM behaves like a remote Linux server that you can fully control from Windows 11. --- If you found this tutorial helpful, don’t forget to like, subscribe, and turn on notifications for more Linux, networking, virtualization, and DevOps tutorials. #PuTTY #LinuxVM #SSH #Windows11 #LinuxTutorial #VirtualMachine #SystemAdministration #Networking #DevOps #CyberSecurity #Ubuntu #VirtualBox #VMware #RemoteAccess #LinuxCommands #ServerManagement #TechTutorial #ITTraining #OpenSSH #LearnLinux

# How to Install and Set Up Devin Desktop on Windows 11 In this complete step-by-step tutorial, you'll learn how to install and set up **Devin Desktop** on Windows 11. Devin Desktop is Cognition's AI-powered development environment that combines an intelligent code editor with an autonomous AI software engineering agent, helping developers write, debug, refactor, and manage code more efficiently. In 2026, Cognition rebranded Windsurf as Devin Desktop, while preserving users' settings, extensions, and workflows. ([Railway][1]) Whether you're a beginner exploring AI-assisted development or an experienced software engineer looking to boost productivity, this guide will walk you through the complete installation, setup, and first-use experience on Windows 11. In this video, we'll begin by downloading the latest version of Devin Desktop from the official website and installing it step by step on Windows 11. You'll learn about the system requirements, installation process, and how to launch the IDE for the first time. We also cover signing in to your Devin account and completing the initial onboarding process. ([Railway][1]) Next, we'll explore the Devin Desktop interface, including the editor, integrated terminal, AI chat, Agent Command Center, file explorer, source control, and project workspace. You'll learn how to create a new project, open an existing repository, and start using Devin's AI capabilities to generate code, explain code, fix bugs, and automate repetitive development tasks. We'll also demonstrate how to connect Devin Desktop to GitHub repositories, use the built-in Git features, manage extensions, customize themes, and configure your development environment. Since Devin Desktop is built on a VS Code–style foundation, you'll see how easy it is to migrate from Visual Studio Code while keeping your familiar workflow. ([Railway][1]) Additionally, we'll show you how to use the integrated terminal, configure AI settings, and take advantage of agent-based workflows for building applications, reviewing code, and managing larger software projects. We'll also discuss troubleshooting common installation issues and provide tips for getting the best AI-assisted coding experience. Topics covered in this tutorial: * What is Devin Desktop? * Devin Desktop vs Windsurf * System requirements * Downloading Devin Desktop * Installing Devin Desktop on Windows 11 * Signing in and initial setup * Understanding the Devin Desktop interface * Creating your first project * Opening existing repositories * AI chat and coding assistance * Agent Command Center overview * Git and GitHub integration * Installing extensions * Customizing the editor * Integrated terminal * Troubleshooting installation issues * Tips for maximizing AI-powered development Devin Desktop brings AI-powered software engineering directly into your development environment, enabling you to automate coding tasks, understand complex codebases, generate new features, and collaborate with an intelligent coding assistant. Whether you're building web applications, APIs, desktop software, or automation tools, Devin Desktop can significantly streamline your development workflow. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more AI coding tools, software development, Windows 11, and programming tutorials. #DevinDesktop #DevinAI #Windows11 #AIIDE #Programming #Coding #SoftwareDevelopment #DeveloperTools #ArtificialIntelligence #GitHub #VSCode #CodeEditor #AITools #TechTutorial #WebDevelopment #LearnProgramming #CodingWithAI #Productivity #Developer #AIProgramming [1]: https://railway.com/agents/windsurf?utm_source=chatgpt.com "Windsurf (now Devin Desktop) + Railway"

# How to Install and Use Trae AI Code Editor on Windows 11 In this complete step-by-step tutorial, you’ll learn how to install and use **Trae AI Code Editor** on Windows 11. Trae is an AI-powered development environment (built as a modern VS Code–style editor) that helps you write, generate, debug, and manage code using built-in AI assistance, agent modes, and intelligent project understanding. ([DigitalOcean][1]) Whether you are a beginner learning programming or an experienced developer looking for an AI-first coding workflow, this guide will help you get started from installation to building your first project inside Trae. --- ## What is Trae AI Code Editor? Trae is an AI-integrated code editor developed as a full IDE with features like: * AI code generation and autocomplete * Intelligent debugging assistance * Project-aware AI chat * Built-in terminal and Git support * Agent-based workflows for building apps faster ([traeide.com][2]) It is designed to function like a modern IDE (similar to VS Code or Cursor), but with deeper AI integration for automation and coding support. --- ## How to Install Trae on Windows 11 ### Step 1: Download Trae 1. Go to the official Trae website 2. Select **Windows 10/11 (64-bit)** version 3. Download the installer (.exe file) ([traeide.com][3]) --- ### Step 2: Install Trae 1. Run the downloaded `.exe` file 2. Accept license agreement 3. Choose installation folder (default recommended) 4. Click **Install** 5. Wait for installation to complete 6. Launch Trae --- ### Step 3: First Launch Setup When you open Trae for the first time: * Sign in or create an account * Choose theme (Dark/Light) * Optionally import settings from VS Code * Configure basic editor preferences ([traeide.com][4]) --- ## How to Use Trae AI Code Editor ### 1. Open a Project * Click **Open Folder** * Select your project directory * Trae will load your workspace --- ### 2. Use AI Chat Trae includes an AI assistant where you can: * Ask coding questions * Generate functions * Fix bugs * Explain code Example prompts: * “Create a React login page” * “Fix this Python error” * “Explain this function” --- ### 3. Use Builder / Agent Mode Trae supports agent-style workflows: * Build full features automatically * Modify multiple files at once * Generate project structures from prompts This is useful for full app generation instead of manual coding. --- ### 4. Code Editing with AI You can: * Highlight code → ask AI to refactor * Generate boilerplate instantly * Auto-complete functions * Improve code quality --- ### 5. Terminal & Git Integration Inside Trae you can: * Run commands (npm, python, git) * Commit and push code * Manage repositories easily --- ## Useful Tips for Beginners * Start with small projects first * Use AI chat to understand code instead of copying blindly * Enable autosave for smoother workflow * Explore agent mode only after learning basics --- ## Troubleshooting Common Issues **Trae not opening or crashing** * Update Windows 11 * Reinstall latest version * Check system RAM (8GB+ recommended) **AI not responding** * Check internet connection * Sign out and log back in **Project not loading** * Reopen folder * Ensure correct project path --- ## Final Thoughts Trae AI Code Editor is a powerful next-generation IDE that combines coding and artificial intelligence into one workspace. It helps you write faster, understand code better, and build full projects with less manual effort. --- If you found this tutorial helpful, don’t forget to like, subscribe, and turn on notifications for more AI tools, coding tutorials, and software development guides. #TraeAI #Windows11 #AIEditor #Coding #Programming #VSCode #AItools #SoftwareDevelopment #DeveloperTools #AITutorial #CodingWithAI #TechTutorial #LearnProgramming #WebDevelopment #IDE #ArtificialIntelligence #CodeEditor #DevTools #ProgrammingGuide #AITools [1]: https://www.digitalocean.com/community/tutorials/trae-free-ai-code-editor?utm_source=chatgpt.com "Trae: A New Free AI-Powered Code Editor from ByteDance | DigitalOcean" [2]: https://traeide.com/docs?utm_source=chatgpt.com "TraeIDE" [3]: https://traeide.com/download?utm_source=chatgpt.com "Trae IDE Download" [4]: https://traeide.com/docs/how-to-setup-trae?utm_source=chatgpt.com "How to Set Up Trae"

What Is Google Stitch's Design.md File? How to Use It In this video, you'll learn what the **Design.md** file is in Google Stitch, why it's important, and how to use it effectively when building AI-assisted applications and user interfaces. The Design.md file acts as a central design specification that helps define your application's layout, user experience, design system, and UI requirements. It enables AI to better understand your project's goals, resulting in more accurate interface generation and consistent design decisions throughout the development process. Whether you're a UI/UX designer, frontend developer, full-stack engineer, or AI enthusiast, understanding how Design.md works can significantly improve your workflow when using Google Stitch. Instead of repeatedly describing your application's design in prompts, you can maintain a structured Design.md file that serves as a persistent source of truth for your project's visual and functional requirements. In this tutorial, we'll explain the purpose of the Design.md file, its typical structure, and how Google Stitch uses it to generate consistent user interfaces. You'll learn how to document design goals, color palettes, typography, spacing, component styles, layouts, navigation patterns, accessibility requirements, and responsive design guidelines in a format that AI can easily interpret. We'll also demonstrate how to create a new Design.md file from scratch, organize it for maximum clarity, and update it as your application evolves. By maintaining a well-structured Design.md file, you can reduce repetitive prompts, improve AI-generated results, and ensure a consistent user experience across your entire application. Additionally, we'll share practical tips for writing effective design specifications, organizing reusable design components, documenting branding guidelines, and collaborating with team members using Design.md as a shared reference. Topics covered in this tutorial: * What is the Design.md file? * Why Google Stitch uses Design.md * Benefits of maintaining a Design.md file * Creating a Design.md from scratch * Understanding the Design.md structure * Defining colors, typography, and spacing * Documenting UI components * Writing responsive design guidelines * Accessibility best practices * AI-assisted UI generation using Design.md * Keeping design documentation up to date * Best practices for teams and collaboration * Common mistakes to avoid * Tips for better AI-generated interfaces The Design.md file helps transform Google Stitch from a simple AI design tool into a more context-aware development assistant. By providing clear design documentation, you enable the AI to generate interfaces that are more consistent, maintainable, and aligned with your project's overall vision. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Google Stitch, AI design tools, UI/UX design, frontend development, and software development tutorials. #GoogleStitch #DesignMD #UIDesign #UXDesign #AItools #GoogleAI #FrontendDevelopment #WebDesign #DesignSystem #ProductDesign #ArtificialIntelligence #DeveloperTools #SoftwareDevelopment #DesignDocumentation #TechTutorial #UIUX #ResponsiveDesign #Coding #AITutorial #WebDevelopment

What is Google Stitch? AI-Powered UI Design Tool In this video, we explore Google Stitch, an AI-powered UI design tool that helps developers and designers quickly create user interfaces using natural language and intelligent design automation. Google Stitch is part of the new wave of AI-assisted design tools that aim to bridge the gap between ideas and production-ready UI by generating layouts, components, and design systems with minimal manual effort. Google Stitch is designed to simplify the UI/UX design process by allowing users to describe what they want in plain English, and then automatically generating responsive interface designs. Instead of manually placing buttons, forms, and layouts, users can rely on AI to interpret their intent and produce structured, visually consistent UI components. This makes it especially useful for product designers, frontend developers, startups, and teams working on rapid prototyping. In this tutorial, we explain how Google Stitch works, its core features, and how it integrates into modern design and development workflows. You’ll learn how it uses AI models to understand design prompts, generate layouts, and maintain consistency across screens. We also discuss how it can potentially connect with development tools and export designs into usable frontend code or design formats. We further explore real-world use cases where Google Stitch can speed up UI development, such as building landing pages, mobile app interfaces, dashboards, SaaS products, and admin panels. It is especially helpful in the early stages of product development where speed and iteration matter most. Topics covered in this video: * What is Google Stitch? * How AI UI design tools work * Key features of Google Stitch * Natural language to UI generation * Creating layouts with AI prompts * Responsive design automation * UI component generation * Use cases for developers and designers * Rapid prototyping with AI * Comparison with traditional UI design tools * Future of AI in UI/UX design * Tips for using AI design tools effectively Google Stitch represents a shift toward AI-driven design workflows, where developers and designers can collaborate more efficiently by reducing repetitive design tasks and focusing on creativity and functionality. While still evolving, tools like Stitch highlight how AI is transforming the future of interface design and frontend development. If you found this tutorial helpful, don’t forget to like the video, subscribe to the channel, and turn on notifications for more AI tools, UI/UX design tutorials, development workflows, and technology insights. #GoogleStitch #UIDesign #AItools #UXDesign #GoogleAI #UIUX #DesignTools #ArtificialIntelligence #WebDesign #FrontendDevelopment #Prototyping #DesignSystem #TechTutorial #ProductDesign #NoCode #AIUX #SoftwareDevelopment #DesignAutomation #DeveloperTools #AITutorial

How to Install and Use PearAI on Windows 11 In this complete step-by-step tutorial, you'll learn how to install and use PearAI on Windows 11. PearAI is an AI-powered code editor built on Visual Studio Code that helps developers write, understand, refactor, and manage code more efficiently using advanced AI models and intelligent coding assistants. With its familiar VS Code interface and built-in AI capabilities, PearAI is an excellent choice for beginners and experienced developers alike. ([SourceForge][1]) Whether you're a software developer, student, web developer, or AI enthusiast, this guide will walk you through the entire installation and setup process so you can start building projects with AI-assisted coding in just a few minutes. In this video, we'll begin by downloading the latest version of PearAI for Windows 11 from the official website and installing it step by step. You'll learn about the system requirements, installation process, and how to launch PearAI for the first time. We also cover the initial setup, including signing in, configuring your preferred AI provider, and customizing the editor for your workflow. ([SourceForge][1]) Next, we'll explore the PearAI interface and show you how to create your first project. You'll learn how to open existing folders, generate code using AI, ask questions about your codebase, explain complex code, refactor existing functions, and use AI-powered autocomplete to speed up development. Since PearAI is based on VS Code, you'll also see how to install extensions, customize themes, and import your existing development environment. ([SourceForge][1]) We'll also demonstrate practical workflows such as generating code from prompts, fixing bugs, improving code quality, and using AI to understand unfamiliar projects. In addition, we'll discuss project context, integrated terminal support, Git integration, and best practices for working with AI-assisted coding tools. Topics covered in this tutorial: * What is PearAI? * Why use PearAI for software development * Downloading PearAI on Windows 11 * Installing PearAI step by step * Initial setup and configuration * Signing in and configuring AI models * Understanding the PearAI interface * Creating your first project * AI-powered code generation * Code explanation and refactoring * AI autocomplete features * Git integration * Installing VS Code extensions * Customizing PearAI * Troubleshooting common installation issues PearAI combines the familiarity of Visual Studio Code with powerful AI features, making it easier to write, understand, and maintain code across multiple programming languages. Whether you're building web applications, APIs, desktop software, or automation scripts, PearAI can help improve your productivity and streamline your development workflow. ([SourceForge][1]) If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more AI coding, programming, Windows, and software development tutorials. #PearAI #Windows11 #AIEditor #VSCode #Programming #Coding #SoftwareDevelopment #DeveloperTools #ArtificialIntelligence #AITools #CodeEditor #WebDevelopment #Python #JavaScript #CodingTutorial #LearnProgramming #TechTutorial #AIProgramming #OpenSource #Productivity [1]: https://sourceforge.net/projects/pearai.mirror/?utm_source=chatgpt.com "PearAI download | SourceForge.net"

How to Connect to a Remote Server Over SSH on Windows 11 In this complete step-by-step tutorial, you'll learn how to connect to a remote server over SSH on Windows 11 using built-in tools and popular SSH clients. SSH (Secure Shell) is a secure protocol used to remotely access and manage Linux servers, cloud instances, virtual machines, and networking devices. It is an essential skill for system administrators, developers, DevOps engineers, and anyone working with remote infrastructure. In this video, we start by explaining what SSH is and why it is the standard method for secure remote access. SSH encrypts all communication between your local Windows 11 system and the remote server, ensuring safe and secure administration over untrusted networks. Next, you'll learn how to connect using the built-in Windows 11 SSH client via Windows Terminal or PowerShell. We’ll show you how to open the terminal, use the basic SSH command format, and authenticate using a username and password or SSH key pair. We also demonstrate how to connect using third-party tools like PuTTY, MobaXterm, and WinSCP, depending on your workflow preferences. Each method is explained clearly so beginners can follow along easily while advanced users can choose the most efficient option for their setup. Additionally, you'll learn how to find your server’s IP address, configure firewall rules if needed, and verify that SSH service is running on the remote Linux machine. We also cover SSH key-based authentication for more secure and password-less login, which is widely used in production environments. Common issues such as connection timeouts, permission denied errors, and incorrect key configurations are also explained along with troubleshooting steps to fix them quickly. Topics covered in this tutorial: * What is SSH and how it works * Why SSH is important for remote access * Using SSH on Windows 11 (PowerShell & Terminal) * Basic SSH command structure * Connecting to a Linux server via SSH * Using PuTTY for SSH connections * Using MobaXterm and WinSCP * SSH key generation and setup * Password vs key-based authentication * Finding server IP address * Enabling SSH on Linux servers * Firewall and port 22 configuration * Troubleshooting SSH connection issues * Best practices for secure SSH access By the end of this tutorial, you’ll be able to confidently connect to any remote Linux server from Windows 11 and manage it securely using SSH tools and commands. If you found this tutorial helpful, don’t forget to like the video, subscribe to the channel, and turn on notifications for more Windows, Linux, networking, cloud computing, DevOps, and IT tutorials. #SSH #Windows11 #RemoteServer #Linux #PuTTY #MobaXterm #WinSCP #SystemAdministration #Networking #DevOps #CloudComputing #CyberSecurity #ITSupport #OpenSSH #ServerManagement #TechTutorial #WindowsTerminal #LinuxServer #ITTraining #SecureShell

How to Install IntelliJ IDEA with Junie AI Integration 🚀 Full Guide In this step-by-step tutorial, you’ll learn how to install IntelliJ IDEA on Windows 11 and set up Junie AI integration to supercharge your coding workflow with an AI-powered development assistant. Junie is JetBrains’ AI coding agent that works directly inside supported JetBrains IDEs like IntelliJ IDEA, helping you write, refactor, analyze, and manage code more efficiently using project-aware intelligence. Whether you're a beginner learning Java, Kotlin, or backend development, or an advanced developer working on large-scale applications, this guide will help you install IntelliJ IDEA correctly and enable Junie AI features for a smarter development experience. In this video, we start by downloading and installing IntelliJ IDEA (Community or Ultimate edition depending on Junie support). You'll learn how to choose the correct version, set up your JDK, and complete the initial IDE configuration on Windows 11. Next, we move on to installing the Junie AI plugin. Junie is not bundled by default, so you need to install it manually from the JetBrains Marketplace or directly from the IDE plugins section. We’ll show you how to search for “Junie”, install it, and restart IntelliJ IDEA to activate it properly. After installation, we walk through setting up Junie AI inside IntelliJ IDEA. This includes signing in with your JetBrains account, activating the AI trial or license if required, and opening the Junie tool window from the sidebar. You’ll also learn how Junie integrates with your project structure, analyzes code context, and executes tasks like generating functions, refactoring code, running tests, and explaining complex logic. We also cover important compatibility notes, since Junie requires specific IntelliJ IDEA versions (2024.3+ or newer depending on edition). If your IDE version is not compatible, we’ll show you how to update IntelliJ IDEA safely. Finally, we demonstrate how to use Junie AI in real projects, including writing code with AI prompts, modifying existing classes, debugging issues, and improving productivity with intelligent suggestions directly inside the IDE. Topics covered in this tutorial: * What is IntelliJ IDEA? * What is Junie AI and how it works * System requirements for Junie * Downloading and installing IntelliJ IDEA on Windows 11 * Setting up JDK and initial configuration * Installing Junie AI plugin from Marketplace * Activating Junie in IntelliJ IDEA * Opening and using Junie tool window * AI-powered coding features * Code generation, refactoring, and debugging * Project-aware AI assistance * Troubleshooting installation issues * Updating IntelliJ IDEA for compatibility * Tips for using Junie effectively Junie AI transforms IntelliJ IDEA into an intelligent coding environment where routine tasks can be automated and complex development workflows become easier to manage. It’s a powerful upgrade for developers who want to speed up coding, reduce errors, and improve overall productivity. If you found this tutorial helpful, don’t forget to like the video, subscribe to the channel, and turn on notifications for more IntelliJ IDEA, AI tools, programming, and software development tutorials. #IntelliJIDEA #JunieAI #JetBrains #Windows11 #Java #Kotlin #Programming #AIcoding #SoftwareDevelopment #DeveloperTools #CodingTutorial #IDE #AIassistant #Refactoring #Debugging #LearnProgramming #TechTutorial #CodingWithAI #JetBrainsIDE #ProductivityBoost

How to Install & Set Up Amazon Kiro AI IDE on Windows 11 In this complete step-by-step tutorial, you'll learn how to install and set up Amazon Kiro AI IDE on Windows 11. Kiro is an AI-powered, agentic Integrated Development Environment (IDE) built by Amazon Web Services (AWS) to help developers build software faster using AI-assisted coding, spec-driven development, automated workflows, and intelligent code generation. Built on the Code OSS foundation, Kiro provides a familiar development experience while introducing powerful AI capabilities for modern software engineering. ([Kiro][1]) Whether you're a beginner learning programming or an experienced software developer looking for a next-generation AI coding assistant, this guide will walk you through the complete installation and setup process on Windows 11. In this video, we'll start by downloading the latest version of Kiro AI IDE from the official website and installing it on a Windows 11 computer. You'll learn about the system requirements, supported platforms, and how to complete the installation using the Windows installer. Kiro currently supports Windows 10 and Windows 11 (64-bit systems). ([Kiro][1]) After installation, we'll walk through the initial setup process, including signing in with your preferred authentication method, importing your Visual Studio Code settings and extensions (optional), selecting your preferred theme, and completing the first-time onboarding experience. We'll also show you how to create your first project and start using Kiro's AI-powered coding features. ([Kiro][1]) You'll also learn about some of Kiro's most powerful features, including AI chat, spec-driven development, intelligent code generation, project steering, hooks for workflow automation, built-in Git support, and how to customize your development environment for maximum productivity. If you're migrating from VS Code, we'll show you how to make the transition as smooth as possible. ([TechRadar][2]) Topics covered in this tutorial: * What is Amazon Kiro AI IDE? * Kiro system requirements * Downloading Kiro on Windows 11 * Installing Kiro step by step * Signing in to Kiro * Importing VS Code settings and extensions * Creating your first project * Understanding the Kiro interface * Using AI-powered coding features * Spec-driven development overview * Hooks and workflow automation * Git integration * Customizing the IDE * Troubleshooting installation issues * Tips for new Kiro users Kiro is designed to help developers move from ideas to production-ready software by combining AI-assisted coding with structured development workflows. Whether you're building web applications, APIs, desktop software, or cloud-native applications, Kiro provides an intelligent environment to improve productivity and code quality. ([TechRadar][2]) If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more AI coding, software development, programming, and technology tutorials. #Kiro #AmazonKiro #KiroIDE #AIIDE #Windows11 #Programming #Coding #SoftwareDevelopment #DeveloperTools #AITools #VSCode #CodeOSS #ArtificialIntelligence #WebDevelopment #TechTutorial #LearnProgramming #OpenAI #Git #CodeEditor #AIProgramming [1]: https://kiro.dev/docs/getting-started/installation/?utm_source=chatgpt.com "Installation - IDE - Docs - Kiro" [2]: https://www.techradar.com/pro/aws-launches-kiro-an-agentic-ai-ide-to-end-the-chaos-of-vibe-coding?utm_source=chatgpt.com "AWS launches Kiro, an agentic AI IDE, to end the chaos of vibe coding"

How to Install Fedora Linux on VMware Workstation (Windows 11) In this complete step-by-step tutorial, you'll learn how to install Fedora Linux on VMware Workstation running on Windows 11. This guide is perfect for beginners, students, developers, system administrators, and anyone who wants to explore Linux in a safe and controlled virtual environment without modifying their main operating system. Fedora Linux is a modern, fast, and cutting-edge Linux distribution sponsored by Red Hat and widely used for development, testing, and learning enterprise Linux concepts. Running Fedora inside VMware Workstation allows you to experiment freely, build projects, and practice Linux commands while keeping your Windows 11 system untouched. In this video, we walk you through the entire installation process from start to finish. You'll learn how to download the Fedora ISO image, install VMware Workstation, create a new virtual machine, and configure essential system resources such as CPU cores, RAM, and disk space. We also guide you through selecting the correct ISO, setting up BIOS/UEFI options, and launching the Fedora installer inside the virtual machine. Once the installation begins, you'll go step by step through Fedora’s installation wizard, including language selection, disk partitioning, user creation, and system configuration. After installation, we also show how to install VMware Tools to improve performance, enable full-screen mode, and allow better integration between Windows and Fedora. Additionally, we cover important post-installation tasks such as updating Fedora packages, installing essential software, enabling shared clipboard and drag-and-drop, configuring network settings, and optimizing performance for smooth virtual machine operation. Topics covered in this tutorial: * What is Fedora Linux? * Why use Fedora in VMware Workstation * Downloading Fedora ISO safely * Installing VMware Workstation on Windows 11 * Creating a new Fedora virtual machine * Configuring CPU, RAM, and storage * Fedora installation step-by-step * Partitioning and system setup * Creating user accounts in Fedora * Installing VMware Tools * Enabling full-screen mode * Shared clipboard and file sharing setup * Updating Fedora after installation * Performance optimization tips * Troubleshooting common installation issues Fedora is an excellent choice for learning Linux because it offers the latest features, strong security updates, and excellent developer tools. Combined with VMware Workstation, it becomes a powerful learning environment for Linux administration, DevOps, cloud computing, and software development. By the end of this tutorial, you'll have a fully functional Fedora Linux virtual machine running on Windows 11 and ready for development, learning, and experimentation. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Linux, Fedora, VMware, virtualization, DevOps, and technology tutorials. #Fedora #VMwareWorkstation #Windows11 #LinuxTutorial #FedoraLinux #VirtualMachine #Virtualization #LinuxInstallation #SystemAdministration #DevOps #CloudComputing #OpenSource #TechTutorial #LinuxForBeginners #DeveloperTools #ITTraining #ComputerSkills #LinuxDesktop #VMware #Technology

How to Install and Use WinSCP on Windows 11 In this complete step-by-step tutorial, you'll learn how to install and use WinSCP on Windows 11 to securely transfer files between your local computer and remote Linux servers using SSH and SFTP. WinSCP is one of the most popular file transfer tools for Windows, widely used by system administrators, developers, DevOps engineers, and IT professionals to manage remote files efficiently and securely. Whether you're working with Linux servers, cloud instances, virtual machines, or web hosting environments, WinSCP makes file transfer simple by providing a graphical interface for SFTP, SCP, FTP, and WebDAV protocols. It is especially useful for users who prefer a visual file manager instead of command-line tools. In this video, we walk you through the entire process from downloading WinSCP to establishing your first secure connection. You'll learn how to install WinSCP on Windows 11, configure a new session, enter SSH credentials, and connect to a remote Linux server. We also demonstrate how to browse remote directories, upload and download files, and manage permissions using an intuitive dual-pane interface. Additionally, you'll learn how to save login sessions, use key-based authentication for enhanced security, and configure advanced settings such as default directories, file synchronization, and transfer preferences. We also cover common connection issues and how to troubleshoot them quickly. Topics covered in this tutorial: * What is WinSCP? * Why use WinSCP for file transfers * Downloading and installing WinSCP on Windows 11 * Understanding SFTP, SCP, FTP, and WebDAV * Creating a new SSH/SFTP connection * Logging into a Linux server using WinSCP * Uploading and downloading files * Drag and drop file transfer * Managing remote directories * Saving and managing sessions * Using SSH key authentication * File permissions and basic Linux file handling * Synchronizing local and remote folders * Security best practices for file transfers * Troubleshooting connection issues WinSCP is an essential tool for anyone working with remote Linux systems, web servers, or cloud environments. Its user-friendly interface combined with secure SSH-based file transfer makes it a must-have utility for beginners and professionals alike. By the end of this tutorial, you'll be able to confidently install WinSCP, connect to remote servers, and manage files securely between Windows 11 and Linux systems. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Windows, Linux, networking, DevOps, cloud computing, and IT tutorials. #WinSCP #Windows11 #SSH #SFTP #FileTransfer #LinuxServer #SystemAdministration #DevOps #CloudComputing #RemoteAccess #TechTutorial #WindowsTutorial #Linux #ITSupport #CyberSecurity #ServerManagement #FTPClient #DeveloperTools #Networking #ITTraining

How to Setup MCP in Codex CLI (Step-by-Step Guide) In this step-by-step tutorial, you'll learn how to set up MCP (Model Context Protocol) in Codex CLI and connect powerful external tools directly to your AI coding workflow. MCP enables Codex CLI to communicate with external services such as GitHub, databases, documentation servers, browsers, design tools, and custom applications, making AI-assisted development more productive and context-aware. This guide is perfect for developers, software engineers, DevOps professionals, and anyone looking to unlock the full capabilities of Codex CLI with MCP integrations. ([Inventive HQ][1]) In this video, we'll explain what MCP is, how it works, and why it has become an important standard for connecting AI assistants to external tools and services. You'll learn how to install and configure MCP servers, where the Codex CLI configuration file is located, and how to add your first MCP server using both the command line and configuration file methods. We'll also demonstrate how to verify that your MCP server is running correctly and accessible from within Codex CLI. ([Verdent AI][2]) You'll discover how to configure both local STDIO-based MCP servers and remote HTTP-based MCP servers, depending on your use case. We also cover environment variables, authentication methods, API keys, OAuth-enabled servers, and common configuration options so you can securely connect to your favorite development tools. ([Spybara][3]) Additionally, this tutorial includes troubleshooting tips for common MCP setup issues, including configuration errors, missing dependencies, authentication failures, server startup problems, and connection timeouts. By the end of this guide, you'll have a fully configured MCP environment that extends Codex CLI beyond local files and terminal commands. Topics covered in this tutorial: * What is Model Context Protocol (MCP)? * Why use MCP with Codex CLI * Installing Codex CLI prerequisites * Understanding MCP servers * Locating the Codex configuration file * Adding MCP servers using the CLI * Configuring MCP servers manually * STDIO vs HTTP MCP servers * Setting environment variables * API key and OAuth authentication * Verifying MCP connections * Using MCP tools inside Codex CLI * Troubleshooting MCP configuration errors * Best practices for secure MCP setup MCP transforms Codex CLI into a more powerful AI development assistant by allowing it to securely interact with external tools, documentation, repositories, and services. Learning how to configure MCP is an essential step for developers who want to automate workflows, improve productivity, and build more capable AI-assisted development environments. ([Verdent AI][2]) If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Codex CLI, AI development, MCP, programming, and software engineering tutorials. #CodexCLI #MCP #ModelContextProtocol #OpenAI #AIProgramming #DeveloperTools #CodingTutorial #SoftwareDevelopment #GitHub #DevOps #Automation #Programming #AITools #CodingWorkflow #Terminal #CLI #TechTutorial #SoftwareEngineering #AIDevelopment #CodeWithAI [1]: https://inventivehq.com/knowledge-base/openai/how-to-set-up-mcp-servers?utm_source=chatgpt.com "How to Set Up MCP Servers with OpenAI Codex CLI | Inventive HQ" [2]: https://www.verdent.ai/guides/codex-cli-mcp-setup-guide?utm_source=chatgpt.com "Codex CLI MCP: How OpenAI Codex Connects to Tools - Verdent Guides" [3]: https://spybara.com/openai/codex/history/docs/en/mcp/page/2026-03-17-1824/2026-04-14-1229/?utm_source=chatgpt.com "mcp page — Spybara"

How to Install MobaXterm on Windows 11 & Connect Using SSH | Best PuTTY Alternative In this complete step-by-step tutorial, you'll learn how to install MobaXterm on Windows 11 and use it to establish secure SSH connections to remote Linux servers, virtual machines, cloud instances, and network devices. MobaXterm is one of the most powerful all-in-one remote access tools for Windows, offering SSH, SFTP, X11 forwarding, RDP, VNC, serial connections, and many other features in a single application. It is widely considered one of the best alternatives to PuTTY for developers, system administrators, DevOps engineers, cloud professionals, and IT support specialists. Whether you're a beginner learning Linux or an experienced IT professional managing remote infrastructure, this guide will walk you through the entire process from downloading and installing MobaXterm to successfully connecting to a remote server using SSH. In this video, you'll learn how to download and install MobaXterm on Windows 11, understand its interface, create your first SSH session, save connection profiles, and securely connect to Linux servers. We'll also demonstrate how to transfer files using the built-in SFTP browser, making remote file management simple and efficient. Additionally, we'll explore some of MobaXterm's most useful features, including tabbed sessions, integrated terminal, X11 support, session management, port forwarding basics, and customization options that make remote administration faster and more productive. We also cover common SSH connection errors and how to troubleshoot them. Topics covered in this tutorial: * What is MobaXterm? * Why use MobaXterm instead of PuTTY * Downloading MobaXterm on Windows 11 * Installing MobaXterm step by step * Understanding the MobaXterm interface * Creating an SSH connection * Connecting to a Linux server * Saving SSH sessions * Using the built-in SFTP file browser * Managing multiple SSH sessions * Basic X11 forwarding overview * SSH authentication methods * Common connection errors and fixes * Security best practices for SSH * Tips for efficient remote server management MobaXterm combines the functionality of multiple remote access tools into a single application, making it an excellent choice for managing Linux servers, cloud infrastructure, virtual machines, and networking devices. Its built-in Unix commands, graphical file transfer capabilities, and session management features make it a favorite among IT professionals. By the end of this tutorial, you'll know how to install MobaXterm, configure SSH connections, securely access remote systems, and take advantage of its powerful features to improve your workflow. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Windows, Linux, networking, DevOps, cloud computing, cybersecurity, and IT tutorials. #MobaXterm #SSH #Windows11 #Linux #RemoteAccess #SystemAdministration #DevOps #CloudComputing #PuTTYAlternative #Networking #LinuxServer #OpenSSH #TechTutorial #ITSupport #CyberSecurity #WindowsTutorial #ServerManagement #DeveloperTools #ITTraining #MobaXtermTutorial

How to SSH Into a VirtualBox Ubuntu VM From Windows 11 In this step-by-step tutorial, you'll learn how to SSH into an Ubuntu virtual machine running in VirtualBox from a Windows 11 host computer. SSH (Secure Shell) is one of the most essential tools for Linux system administration, remote server management, cloud computing, DevOps, and software development. By learning how to connect to your Ubuntu VM using SSH, you'll be able to manage your Linux system remotely through a secure command-line interface. Whether you're building a home lab, learning Linux, studying networking, practicing system administration, or preparing for cloud and DevOps roles, this guide will help you configure SSH access between Windows 11 and your Ubuntu VirtualBox virtual machine. In this video, we'll walk through the entire process from start to finish. You'll learn how to install and enable the OpenSSH Server on Ubuntu, configure VirtualBox networking settings, determine your VM's IP address, test connectivity, and establish a successful SSH connection from Windows 11 using Command Prompt, PowerShell, Windows Terminal, or SSH clients such as PuTTY. We also explain the differences between NAT, Bridged Adapter, and Host-Only networking modes in VirtualBox, helping you choose the best setup for your environment. Additionally, you'll learn how to troubleshoot common SSH connection issues such as connection timeouts, authentication failures, firewall restrictions, and incorrect network configurations. Topics covered in this tutorial: * What is SSH? * Why use SSH with VirtualBox Ubuntu VMs * Installing OpenSSH Server on Ubuntu * Starting and enabling SSH services * Configuring VirtualBox network settings * NAT vs Bridged vs Host-Only Adapter * Finding the Ubuntu VM IP address * Testing network connectivity * Connecting via Windows Terminal * Connecting via PowerShell SSH * Connecting using PuTTY * SSH username and password authentication * Basic SSH security tips * Troubleshooting SSH connection problems * Managing Ubuntu remotely from Windows SSH is an essential skill for Linux users, system administrators, cloud engineers, DevOps professionals, and cybersecurity practitioners. Once configured, SSH allows you to remotely manage your Ubuntu virtual machine efficiently without relying on the VirtualBox console. By the end of this tutorial, you'll have a fully working SSH connection between Windows 11 and your Ubuntu VirtualBox VM, enabling faster administration, development, automation, and remote access workflows. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Linux, Ubuntu, VirtualBox, networking, cloud computing, DevOps, and technology tutorials. #SSH #Ubuntu #VirtualBox #Windows11 #LinuxTutorial #OpenSSH #SystemAdministration #Networking #DevOps #CloudComputing #LinuxForBeginners #UbuntuServer #RemoteAccess #PuTTY #WindowsTerminal #VirtualMachine #TechTutorial #LinuxAdministration #ITTraining #CyberSecurity

How to Install CentOS on VirtualBox in Windows 11 In this complete step-by-step tutorial, you'll learn how to install CentOS on VirtualBox in Windows 11. Whether you're a beginner learning Linux, a student studying system administration, a developer setting up a testing environment, or an IT professional building a virtual lab, this guide will help you successfully install and configure CentOS in a virtual machine. CentOS has long been a popular Linux distribution for servers, enterprise environments, development, and testing. Running CentOS inside VirtualBox allows you to explore Linux without making changes to your Windows 11 installation. Virtual machines provide a safe and flexible environment for learning Linux commands, hosting services, testing applications, and practicing system administration tasks. In this video, we walk through the entire installation process from start to finish. You'll learn how to download the CentOS ISO image, install VirtualBox, create a new virtual machine, configure hardware resources, and complete the CentOS installation process. Every step is explained clearly, making it easy for beginners to follow along. We also cover important post-installation tasks such as updating the operating system, installing VirtualBox Guest Additions, configuring networking, enabling clipboard sharing, adjusting display settings, and optimizing virtual machine performance. By the end of this tutorial, you'll have a fully functional CentOS virtual machine ready for learning, development, server administration, and testing. Topics covered in this tutorial: * What is CentOS? * Why use CentOS in VirtualBox * Downloading the CentOS ISO * Installing Oracle VirtualBox on Windows 11 * Creating a new CentOS virtual machine * Configuring CPU, RAM, and storage * Installing CentOS step by step * Setting up users and passwords * Configuring networking options * Installing VirtualBox Guest Additions * Updating CentOS packages * Performance optimization tips * Shared folders and file sharing * Troubleshooting common installation issues * Linux basics after installation VirtualBox is one of the most popular free virtualization platforms, making it easy to run multiple operating systems on a single computer. Combined with CentOS, it provides an excellent environment for learning Linux administration, server management, web hosting, development, and enterprise technologies. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Linux, VirtualBox, virtualization, system administration, cloud computing, and technology tutorials. #CentOS #VirtualBox #Windows11 #LinuxTutorial #CentOSInstallation #VirtualMachine #LinuxForBeginners #Virtualization #SystemAdministration #OpenSource #OracleVirtualBox #LinuxServer #ITTraining #TechTutorial #DeveloperTools #ServerManagement #LearnLinux #ComputerSkills #CloudComputing #TechnologyTutorial

How to Install PuTTY on Windows + SSH Connections Using PuTTY on Windows In this complete step-by-step tutorial, you'll learn how to install PuTTY on Windows and use it to create secure SSH connections. PuTTY is one of the most popular SSH and Telnet clients for Windows, widely used by system administrators, network engineers, developers, cloud professionals, and IT support teams to remotely access Linux servers, cloud instances, networking devices, and other systems. Whether you're a beginner learning remote server management or an IT professional looking to configure secure remote access, this guide will walk you through the entire process from downloading PuTTY to successfully connecting to a remote server using SSH. In this video, you'll learn how to download and install PuTTY on Windows, understand the PuTTY interface, configure SSH connection settings, save session profiles, and securely connect to remote Linux and Unix servers. We also explain how SSH works, why it is more secure than older protocols, and how PuTTY simplifies remote administration tasks. Additionally, you'll learn how to generate SSH key pairs using PuTTYgen, configure key-based authentication, troubleshoot common connection issues, and improve the security of your remote connections. By the end of this tutorial, you'll have the knowledge and confidence to manage remote systems using PuTTY and SSH. Topics covered in this tutorial: * What is PuTTY? * What is SSH and how it works * Downloading PuTTY on Windows * Installing PuTTY step by step * Understanding the PuTTY interface * Creating an SSH connection * Connecting to a Linux server * Saving and managing sessions * Using PuTTYgen to generate SSH keys * Password authentication vs SSH key authentication * Secure remote administration basics * Troubleshooting SSH connection issues * Common PuTTY settings and configurations * Best practices for SSH security PuTTY remains one of the most trusted tools for remote server access on Windows and is an essential utility for anyone working with Linux servers, cloud platforms, networking equipment, or remote infrastructure. Learning how to use PuTTY effectively can significantly improve your productivity and system administration skills. If you found this tutorial helpful, be sure to like the video, subscribe to the channel, and turn on notifications for more Windows, Linux, networking, cloud computing, cybersecurity, and IT tutorials. #PuTTY #SSH #Windows #RemoteAccess #LinuxServer #SystemAdministration #Networking #CyberSecurity #CloudComputing #PuTTYTutorial #WindowsTutorial #SSHConnection #Linux #ITSupport #ServerManagement #TechTutorial #NetworkEngineering #DeveloperTools #ComputerNetworking #ITTraining

How to Install Linux Mint on VMware Workstation (Windows 11) In this step-by-step tutorial, you'll learn how to install Linux Mint on VMware Workstation running on Windows 11. Whether you're a beginner exploring Linux for the first time, a student learning operating systems, a developer setting up a Linux environment, or an IT professional testing applications, this guide will help you create and configure a Linux Mint virtual machine quickly and easily. Linux Mint is one of the most popular Linux distributions thanks to its user-friendly interface, stability, performance, and ease of use. Running Linux Mint inside VMware Workstation allows you to experience Linux without modifying your existing Windows 11 installation. Virtual machines are perfect for learning Linux, software development, testing applications, and experimenting with new operating systems in a safe environment. In this video, we walk through the complete installation process from start to finish. You'll learn how to download the Linux Mint ISO image, create a new virtual machine in VMware Workstation, allocate system resources such as CPU, RAM, and storage, configure virtual hardware settings, and complete the Linux Mint installation process. We also cover important post-installation steps, including installing VMware Tools, updating Linux Mint, optimizing virtual machine performance, enabling full-screen mode, configuring shared folders, and improving overall usability. By the end of the tutorial, you'll have a fully functional Linux Mint virtual machine ready for daily use, learning, development, and testing. Topics covered in this tutorial: * What is Linux Mint? * Why use Linux Mint in VMware Workstation * Downloading the Linux Mint ISO * Creating a new virtual machine * Configuring CPU, RAM, and storage * Installing Linux Mint on VMware Workstation * Setting up user accounts * Configuring Linux Mint after installation * Installing VMware Tools * Enabling full-screen and seamless integration * Shared folders and file sharing * Updating Linux Mint packages * Performance optimization tips * Troubleshooting common installation issues Linux Mint offers a clean, modern desktop experience that is ideal for both beginners and experienced Linux users. Using VMware Workstation makes it easy to learn Linux while keeping Windows 11 as your primary operating system. If you found this tutorial helpful, don't forget to like the video, subscribe to the channel, and turn on notifications for more Linux, virtualization, VMware, programming, and technology tutorials. #LinuxMint #VMwareWorkstation #Windows11 #LinuxTutorial #VirtualMachine #VMware #LinuxForBeginners #LinuxInstallation #OpenSource #Virtualization #TechTutorial #OperatingSystems #LearnLinux #ITTraining #SystemAdministration #DeveloperTools #LinuxMintInstallation #ComputerSkills #Technology #VMTutorial

# What is Virtualization and Hypervisor? In this video, you'll learn what virtualization is, how it works, and the important role hypervisors play in modern computing environments. Virtualization is one of the foundational technologies behind cloud computing, data centers, software testing, and modern IT infrastructure. Understanding virtualization and hypervisors is essential for system administrators, developers, IT professionals, cybersecurity practitioners, and anyone interested in learning how modern computing environments are managed. Virtualization is the process of creating virtual versions of computing resources such as operating systems, servers, storage devices, networks, or desktops. Instead of running a single operating system directly on physical hardware, virtualization allows multiple virtual machines (VMs) to run on the same physical computer. Each virtual machine operates independently with its own operating system, applications, memory, storage, and network settings. A hypervisor is the software layer that enables virtualization by managing and allocating hardware resources to virtual machines. It acts as an intermediary between the physical hardware and the virtual machines, ensuring that each VM gets access to the resources it needs while remaining isolated from other virtual machines on the system. In this tutorial, we'll explain the different types of virtualization, how virtual machines work, and the differences between Type 1 and Type 2 hypervisors. You'll also learn about common virtualization platforms used in enterprise and personal environments, along with practical examples that demonstrate how virtualization is used in real-world scenarios. Topics covered in this video: * What is virtualization? * Why virtualization is important * How virtual machines work * What is a hypervisor? * Type 1 (Bare-Metal) Hypervisors * Type 2 (Hosted) Hypervisors * Benefits of virtualization * Resource allocation and isolation * Virtual machines vs physical machines * Common virtualization platforms * Virtualization in cloud computing * Enterprise use cases * Testing and development environments * Server consolidation * Security and disaster recovery benefits By the end of this tutorial, you'll understand how virtualization enables efficient hardware utilization, simplifies infrastructure management, and supports modern cloud technologies. You'll also gain a clear understanding of how hypervisors manage virtual machines and why they are critical components of today's IT ecosystems. Whether you're preparing for IT certifications, learning system administration, exploring cloud computing, or building a home lab, this video provides a solid foundation in virtualization concepts and hypervisor technology. #Virtualization #Hypervisor #VirtualMachine #VMware #VirtualBox #CloudComputing #SystemAdministration #ITInfrastructure #DevOps #CyberSecurity #DataCenter #Linux #WindowsServer #CloudTechnology #TechnologyTutorial #Networking #ServerManagement #ITTraining #ComputerScience #TechEducation

In this video, we will understand what Linux, UNIX, and Kernel actually are 🚀 If you are a beginner in operating systems, this is the perfect starting point to understand how modern computers work. 🔥 What you’ll learn: - What is Linux? - What is UNIX? - What is a Kernel? - Difference between Linux and UNIX - Role of Kernel in operating systems - How OS interacts with hardware 💻 Simple explanation: Kernel is the core part of an operating system that connects software with hardware. Linux and UNIX are operating systems that use this core concept. This video is perfect for beginners, students, and anyone starting in programming or cybersecurity. 👉 Don’t forget to Like 👍, Share, and Subscribe for more tech tutorials! #Linux #Unix #Kernel #OperatingSystem #Programming #TechBasics

Learn how to install Kali Linux on VMware Workstation on Windows 11 🚀 In this step-by-step tutorial, I’ll show you how to set up a Kali Linux virtual machine using VMware so you can safely run Linux on Windows without dual booting. 🔥 What you’ll learn: - Install VMware Workstation Player on Windows 11 - Download Kali Linux ISO image - Create a new virtual machine - Configure CPU, RAM, and storage - Install and run Kali Linux smoothly 💻 Requirements: - Windows 11 PC - VMware Workstation Player - Kali Linux ISO file - At least 8GB RAM recommended This setup is perfect for cybersecurity students, ethical hacking practice, and Linux beginners. 👉 Don’t forget to Like 👍, Share, and Subscribe for more cybersecurity tutorials! #KaliLinux #VMware #Windows11 #EthicalHacking #CyberSecurity #Linux

How to Use Projects in Codex GUI In this video, we explore a complete and beginner-friendly guide on how to use Projects in Codex GUI effectively. Whether you are a developer, student, or someone just getting started with AI-assisted coding environments, understanding Projects in Codex GUI can significantly improve your workflow and organization. Projects allow you to structure your work, manage multiple files, and keep your coding environment clean and efficient while working with Codex-powered tools. This tutorial walks you through everything step by step so you can confidently set up and manage your own projects without confusion. Projects in Codex GUI are designed to help you organize your codebase into structured workspaces. Instead of handling scattered files or separate scripts, you can group related files, prompts, and outputs into a single project environment. This makes it easier to track changes, collaborate with others, and maintain clarity in larger development tasks. Codex GUI enhances productivity by allowing seamless interaction between AI suggestions and your project files, making coding faster and more intuitive. In this guide, we demonstrate how to create a new project, how to open and manage existing ones, and how to effectively navigate the Codex GUI interface. You will learn how to add files, structure folders, and use built-in tools to streamline your development process. We also show how to integrate AI assistance within your project workspace so you can generate, refine, and debug code more efficiently. By the end of this tutorial, you will have a solid understanding of how the entire project system works in Codex GUI. Additionally, we cover best practices for using Projects, including naming conventions, organizing code modules, and leveraging AI suggestions for faster development. Projects in Codex GUI are especially useful for handling larger applications, experimenting with different code versions, and maintaining clean separation between different tasks. This makes it a powerful tool for both learning and professional development environments. If you want to improve your coding workflow and make the most out of Codex GUI, mastering Projects is essential. Watch the full video to unlock the full potential of structured AI-assisted development and take your coding skills to the next level. #CodexGUI #Projects #CodingTutorial #AIProgramming #OpenAI #SoftwareDevelopment #ProgrammingGuide #DeveloperTools #LearnCoding #AIWorkflow