https://partiful.com/e/gzoJ1ks95urMw0K5q2BB? my part is at 0:49:00

This conversation delves into the concept of legibility, exploring its implications in technology, society, and personal branding. The speakers discuss how legibility affects understanding and control, the balance between authenticity and visibility, and the role of AI in shaping our perceptions of legibility. They emphasize the importance of creating a legible online presence while navigating the complexities of personal identity and social dynamics. spawned by https://x.com/stevekrouse/status/2013645140129206675 https://en.wikipedia.org/wiki/Seeing_Like_a_State https://www.ribbonfarm.com/2010/07/26/a-big-little-idea-called-legibility/ https://flocrivello.com/software-the-tough-tomato-principle-and-the-great-weirdening-of-the-world/ https://www.swyx.io/mimicry-reflexivity Takeaways - Legibility is crucial for understanding and control in society. - Illegibility can serve as a protective strategy against control. - Cultural and historical contexts shape our understanding of legibility. - Online communities often struggle with balancing legibility and authenticity. - Personal branding requires a careful approach to legibility. - Legibility can enhance professional opportunities and networking. - AI and technology are reshaping the concept of legibility. - Creating a legible online presence is essential for visibility. - The interplay of legibility and personal identity is complex. - Legibility can be both a tool and a weapon in social dynamics. Chapters 00:00 Exploring Legibility: A Special Request 01:40 The Dark Side of Legibility 04:48 Illegibility as a Strategy 09:06 Navigating Publicness and Legibility 13:35 The Trade-offs of Increased Legibility 18:17 Encoding Messages: The Art of Dog Whistling 21:26 The Importance of Legibility 24:29 Building in Public and Increasing Luck 26:14 Designing Your First Impression 29:13 Balancing Legibility and Complexity 30:51 Legibility in Business and Marketing 33:23 The Role of Legibility in Personal Growth 38:33 Self-Legibility and Future Planning 44:29 Exploring Legibility in Design and Communication 46:15 The Mechanics of Legibility 48:47 Balancing Legibility and Self-Expression 52:20 Navigating the Trade-offs of Legibility 01:01:03 Creating a Legible Framework for Others 01:08:08 The Call to Action for Legibility

All Effect resources - https://effect.website/ - https://effect.website/docs - https://github.com/tim-smart/effect-atom - Effect RPC https://github.com/Effect-TS/effect/blob/main/packages/rpc/README.md - https://github.com/niklaserik/effect-mcp - https://github.com/Effect-TS/language-service - https://effect-ts.github.io/effect/effect/Mailbox.ts.html - https://effect.kitlangton.com/ - https://effectbyexample.com/reading-files - https://github.com/supermacro/neverthrow Misc resources: - https://vercel.com/domains/search?q=effect. - https://github.com/livestorejs/livestore - https://useworkflow.dev/ This video provides a deep dive into Effect, a TypeScript library that aims to provide a more robust and scalable way to build applications by focusing on explicit error handling, dependency injection, and structured concurrency. Dillon Mulroy, a staff engineer at Vercel, shares his experience using Effect to rewrite core registrar services, highlighting how it addresses common scalability challenges in large TypeScript monorepos and engineering organizations. The discussion emphasizes Effect's approach to treating errors as values, its lazy evaluation model, and its comprehensive ecosystem, which includes state management (Effect Atom), RPC, and platform-agnostic APIs. 00:00 Introduction to Effect and Vercel Domains 02:02 What is Effect? A Functional Programming Successor? 02:52 Effect as TypeScript's Missing Standard Library and Ecosystem 03:59 Key Features: Resilience, Error Handling, and Dependency Injection 05:15 Scaling TypeScript at an Organizational Level 06:27 Effect as a Solution to TypeScript Scaling Problems 07:27 Verifying Effect's Success at Vercel 08:49 Frontend Implementation with Effect Atom and Effect RPC 09:48 The Learning Curve and Perceived Verbosity of Effect 11:00 Effect's Syntax and Type Inference 13:10 The Essence of an Effect: Description of a Program 15:28 Prototyping and Incremental Adoption with Effect 17:00 Matt Pocock's "Aha!" Moment with Effect 18:07 Neverthrow and Treating Errors as Values 18:50 Error Handling in Effect: Unioning and Local Handling 20:41 Navigating Effect Documentation and Community Resources 23:20 Effect Platform: Cross-Runtime Compatibility 25:36 Recap of Key Effect Concepts: Type Propagation, Error as Values, Retrying 26:30 The use workflow Directive and Workflow Versioning Challenges 31:26 Vercel's Stance on Effect and its Use Cases 33:43 Appreciation for Effect's Features: Requirements Management (Layers) 35:57 Layers Explained: Providing Service Implementations 36:20 The Perceived vs. Actual Learning Curve of Effect 37:28 Essential Effect Concepts for Getting Started 38:05 Interoperability with Promise-based Code 39:35 Building Effect-First APIs for External Clients 40:27 Effect Services (Tags) for Dependency Injection 42:47 Real-World Example: Syncing YNAB and Splitwise with Effect 44:26 Wrapping Non-Effect Clients with Effect 47:33 Composable Error Handling and Retry Characteristics 48:40 Database Integration and Type Inference 50:06 Observability with Open Telemetry, Tracing, and Spans 52:43 Effect AI: Leveraging Dependency Injection for AI Tools 54:10 The "Reinventing the Universe" Criticism of Effect 55:20 Learning from Other Languages and Ecosystems 55:50 Effect Schema: Encoding and Decoding 58:02 Fibers: Advanced Concurrency Control 01:00:10 Effect's Concurrency Features 01:00:50 Tracing and Spans for Observability 01:02:40 Automated Tracing and Span Management 01:04:47 Effect AI and its Dependency Injection for AI Tools 01:06:03 Critiquing Effect AI's Approach to Routers 01:07:29 Effect as a Consistent Standard Library and Pit of Success 01:08:39 Lazy Promises and Kit Langton's Explainer Video 01:11:00 The Mindset for Adopting Effect 01:11:28 AI's Role in Writing Effect Code 01:13:49 Effect Dev Tools: Trace Viewer, LSP, Layer Visualization 01:14:30 Overcoming the Learning Hump 01:14:50 Community Support and Feedback Loop 01:15:04 Effect 4.0: Slimmed APIs and Mainstream Traction 01:15:47 Effect's Future: A TypeScript Standard Library like Ruby on Rails 01:16:30 The Value of Effect for Reliable Software Development 01:17:54 Effect as a Standard Library vs. Framework 01:18:09 Fibers as a Better Solution than Eager Promises 01:18:30 Comprehensive Ecosystem: HTTP API, Data Structures 01:18:50 Reducing Supply Chain Attack Surface 01:19:30 Ecosystem Expansion and Contraction

https://ai.engineer 🎙️ New to streaming or looking to level up? Check out StreamYard and get $10 discount! 😍 https://streamyard.com/pal/d/6483244566970368

https://x.com/altryne/status/1920189458562904462 🎙️ New to streaming or looking to level up? Check out StreamYard and get $10 discount! 😍 https://streamyard.com/pal/d/6483244566970368

https://x.com/altryne/status/1920189458562904462

sublime performance to end the evening

thanks to Laura Hamilton

a lightly updated version of my talk given at OpenAI DevDay - with new additions from Dec 2024. done for hugo anderson's Maven course

I saw it opening night 2 weeks with my sis again, and have just done the second viewing when my friend Barr booked out a whole theater for her friends (surprisingly cheap - only $300 to do this for a couple dozen people!). I figured I would write down my thoughts on it for an hour or so. here goes.

#defyinggravity #noflyshow

all readings are in here: https://github.com/Nutlope/devwriting see also https://www.swyx.io/dwr-review

OAI has released a lot of stuff recently. will be livecoding and playing with it and giving first impressions

showing our creative process

AI News Plus / Smol Talk - Sept 2024 demo! https://buy.stripe.com/dR602I7Sv7FYfN69AA