■ OPERATOR LIBRARY // PRACTITIONERS
People
Practitioners who actually run AI as their operating system. Real workflows, documented publicly, ready to steal.
Practitioners who built specific workflows, shipped actual products, and shared exactly how they did it. No gatekeeping — read their blogs, watch their videos, steal their prompts.
Start with whoever matches your work style. Copy what works. Ignore what doesn’t.
OP / 01Adam Azzam's ControlFlow Framework
How Prefect's VP of Product built ControlFlow and Marvin, bringing workflow orchestration and failure handling to AI agents with native observability
OP / 02Addy Osmani's Spec-Driven AI Coding
How Google's Head of Chrome Developer Experience applies structured prompts and specs to get reliable results from coding agents
OP / 03Ado Kukic's Advent of Claude
How Anthropic's Developer Relations engineer documented 31 days of Claude Code tips, from basics to advanced agent patterns
OP / 04Affaan Mustafa's Everything Claude Code
An Anthropic hackathon winner shares 10 months of battle-tested Claude Code configs: agents, skills, hooks, and context management
OP / 05Alex Albert's Claude Mastery
Anthropic's Claude Relations lead shares the prompting patterns that make Claude most effective
OP / 06Alex MacCaw on AI-Powered Note-Taking
Creator of Reflect Notes builds AI into personal knowledge tools. His vibe coding approach and WorkGPT framework show how senior engineers work with AI.
OP / 07Alex Newman's Persistent Memory for Claude Code
How a 20-year web veteran built the most-starred Claude Code plugin by treating AI memory as a compression problem
OP / 08Alex Obenauer's Itemized Personal Computing
Independent researcher building alternative OS paradigms where items replace apps and time organizes everything
OP / 09Alexander Opalic's Claude Code Deep Dives
How a German developer became the go-to source for understanding Claude Code's full stack — MCP, skills, subagents, hooks, and plugins
OP / 10Ali Abdaal turns content into a capture system
Ali Abdaal's AI content workflow is useful as an operating pattern: capture raw thought fast, process it with AI, then keep human taste in the final edit.
OP / 11Amelia Wattenberger on AI UX Beyond Chatbots
Principal Research Engineer at GitHub Next explores why chatbots fail as AI interfaces and how to build tools that amplify human thinking.
OP / 12Amjad Masad's Replit Vision
How the Replit founder is democratizing software creation with AI-powered coding environments
OP / 13Andreas Stuhlmuller's Factored Cognition
How the Elicit founder breaks complex AI reasoning into verifiable subtasks, enabling weaker models to reliably catch errors from stronger ones
OP / 14Andrej Karpathy's AI-First Development
How Andrej Karpathy builds software in the AI era: vibe coding for prototypes, three-layer workflow for production.
OP / 15Andy Matuschak's Memory Systems
The researcher who left Apple to build tools that expand what humans can think. His approach: memory augmentation, programmable attention, and AI-assisted learning.
OP / 16Anton Osika: From Particle Physics to $6B AI Startup
How the gpt-engineer creator built Lovable into Europe's fastest-growing AI coding company with 8M users and $200M ARR.
OP / 17Ariya Hidayat's Anti-Framework Approach to LLM Development
The creator of PhantomJS and Esprima argues against LLM frameworks, showing how to build AI tools with simple API calls instead
OP / 18Armin Ronacher's Agentic Coding Practice
How the Flask creator approaches AI-assisted development with Claude Code — token-efficient, low-intervention, and surprisingly Vim-friendly
OP / 19Artur Piszek's WordPress Personal OS
How a software engineer turned WordPress into a self-hosted personal operating system with AI-ready architecture
OP / 20Bas Nijholt's Agentic Coding Journey
How a quantum physicist at IonQ went from AI skeptic to shipping packages faster than ever with Claude Code
OP / 21Ben Firshman's Mission to Make AI Usable
The Docker Compose creator built Replicate to let devs use ML models like npm packages. Good abstractions beat specialized knowledge.
OP / 22Ben Tossell's Non-Technical AI Builder Playbook
How the Ben's Bites founder ships production code without writing it—CLI agents, agents.md files, and 3 billion tokens later.
OP / 23Ben Tossell's Non-Technical AI Coding
Ben Tossell spent 3 billion tokens in four months coding with agents. His workflow: CLIs over MCPs, agents.md files, and VPS for mobile coding.
OP / 24Benjamin Clavié on Making ColBERT Actually Usable
How the creator of RAGatouille bridges information retrieval research and practical RAG systems through open-source tools.
OP / 25Beyang Liu's Agentic Coding Setup
How the Sourcegraph co-founder uses AI agents to generate 90% of his code while keeping the editor for diff review and diagnostics.
OP / 26Beyang Liu's Frontier Coding Agent
How Sourcegraph's co-founder built Amp—an opinionated agent that ships to find the future.
OP / 27Boris Cherny: Claude Code, Git Worktrees, and Parallel Agents
How Boris Cherny runs 5+ Claude Code sessions simultaneously: one git worktree per task, less context bleed, automated PR workflows, and a smaller version you can start with two agents.
OP / 28Brandon Redmond's Claude SDK for Rust
A former math teacher built the first community Rust SDK for Claude Code, making type-safe AI agents accessible to systems programmers.
OP / 29Brian Casel's Spec-Driven Development
How a serial bootstrapper built Agent OS and Design OS to bring structure to AI-assisted coding workflows
OP / 30Brian Christner's Human OS
How a Docker Captain built a unified personal operating system using AI and MCP servers
OP / 31Cassie Kozyrkov on Decision Intelligence
How Google's first Chief Decision Scientist teaches humans to make better choices with AI and data.
Charles Packer treats agent memory like an operating system
Charles Packer's MemGPT and Letta work frames agent memory as systems design: context paging, external state, memory management, and persistent agents.
OP / 33Charlie Holtz Builds AI Tools That Spark Joy
Creator of Melty, Narrator, and Conductor shows how rapid prototyping turns AI experiments into viral projects.
OP / 34Charlie Holtz on Rapid AI Prototyping
How Charlie Holtz builds viral AI demos quickly by combining vision models, text-to-speech, and fast iteration cycles.
OP / 35Chip Huyen's AI Systems Philosophy
How the author of AI Engineering and Designing ML Systems thinks about building production AI, from real-time ML to personal tooling
OP / 36Chris Pedregal's Invisible AI Notepad
The Socratic founder built Granola, an AI meeting notepad with rare 70% weekly retention. His insight: UX execution beats model capabilities.
OP / 37Chris Wiles' Claude Code Showcase Template
A full-stack engineer's comprehensive CLAUDE.md template with skills, agents, hooks, and GitHub Actions
OP / 38Cole Medin: Context Engineering, PRPs, and Archon
Cole Medin's context-engineering workflow for AI coding: write Product Requirements Prompts, front-load examples and validation criteria, then wire the pattern into Archon.
OP / 39Cory Zue on AI-Augmented Solo Development
Former CTO turned solopreneur shares practical insights on using Claude Code, MCP servers, and AI tools while building Django products.
OP / 40Cory Zue's Practical AI Coding Workflows
How a solopreneur uses MCP, Claude Code, and RAG to build products while questioning if AI will replace his business.
OP / 41Craig Motlin's Autonomous Development Loop
How a Two Sigma VP built a self-running Claude Code system with todo-driven automation and parallel worktrees
OP / 42Daksh Gupta's Independent Code Review Thesis
Why the Greptile founder believes AI that writes code should never be the same AI that reviews it
OP / 43Dan Shipper's AI Journaling and Personal Development System
How the Every CEO uses AI as a therapist, coach, and journaling partner—turning ChatGPT into a personalized second brain that knows his goals, relationships, and growth areas.
OP / 44Daniel Miessler treats AI as personal infrastructure
Daniel Miessler's Fabric and Personal AI Infrastructure work shows how AI becomes useful when prompts, context, CLI workflows, and memory are treated as system parts.
OP / 45Daniel Vassallo's Small Bets: How to Build a Portfolio of Profitable Products
Learn Daniel Vassallo's Small Bets philosophy: how he left a $500K Amazon job to make $1M+ with tiny products by embracing randomness and portfolio thinking.
OP / 46David Shapiro's ACE Framework
How an AI researcher designed a layered cognitive architecture for building autonomous personal AI systems
OP / 47David Soria Parra's Model Context Protocol
How an ex-Facebook engineer frustrated with copy-paste workflows created MCP, now the standard for connecting AI to external tools.
OP / 48Debanjum Singh's Open Personal AI
How the Khoj founder builds trustworthy AI assistants that search your documents locally
OP / 49Dylan Freedman's Local Semantic Search
How the NYT AI Projects Editor built Semantra, an open-source privacy-first tool for searching PDFs and documents by meaning instead of exact keywords
OP / 50Elie Steinbock's Inbox Zero
How the Israeli founder built Inbox Zero, an open-source AI email assistant with plain-English rules that hit #1 on GitHub and won Best AI at FOSS Awards
OP / 51Elvis Saravia's Open-Source AI Education
How the DAIR.AI founder built the most popular prompt engineering guide and democratizes AI knowledge for 40,000+ subscribers.
OP / 52Erik Bjäreholt on Quantified Self Tools
How ActivityWatch creator builds open-source personal data infrastructure and terminal AI agents for self-knowledge through numbers.
OP / 53Ethan Mollick's Four Rules for AI in Knowledge Work
Research-backed framework from Wharton professor on when and how to use AI for knowledge work, including the Jagged Frontier concept and practical prompting techniques.
OP / 54Ettore Di Giacinto's LocalAI Platform
How an Italian open-source veteran built a drop-in OpenAI replacement that runs on consumer hardware with no GPU required
OP / 55Eugene Yan's Personal AI Workflow
How an Amazon Principal Scientist builds personal AI tools for writing, reflecting, and staying informed
OP / 56Fabrizio Ferri-Benedetti treats docs as AI infrastructure
Fabrizio Ferri-Benedetti shows how technical writers can turn docs into AI-ready context, tests, tools, and safer prompts.
OP / 57Flo Crivello's AI Agent Philosophy
How the Lindy.ai founder thinks about building personal AI assistants that handle real work, plus his contrarian takes on solo founding and AGI risk.
OP / 58Geoffrey Litt's Malleable Software Vision
How a researcher at Ink & Switch and Notion is building toward software that users can reshape like clay
OP / 59George Hotz on Tinygrad and AI as Compiler
George Hotz views AI coding tools as compilers, not coders. His tinygrad philosophy: every line must earn its keep. Build better tools, not hype.
OP / 60Georgi Gerganov made local models feel ordinary
Georgi Gerganov's llama.cpp pattern made local LLMs practical: portable runtimes, GGUF model files, and AI infrastructure that stays close to the user.
OP / 61Gordon Brander on Building Protocols for Thought
How the creator of Noosphere and Subconscious approaches tools for thought, living software, and AI-powered futures.
OP / 62Gordon Brander on Building Protocols for Thought
How the Subconscious founder uses evolutionary thinking to design AI-augmented tools for thought and decentralized knowledge systems.
OP / 63Gordon Brander on Living Software
How the creator of Noosphere and Deep Future thinks about building open-ended software ecosystems through evolution, ecology, and generative approaches.
OP / 64Gordon Brander on Living Software Ecosystems
Former Mozilla and Google engineer builds scenario planning AI while exploring what makes software ecosystems open-ended and evolving.
OP / 65Gregor Zunic's Browser Use Framework
How the ETH Zurich founder built the open-source library that lets AI agents control web browsers like humans do
OP / 66Guillermo Rauch: Building v0 and the AI SDK
How the Vercel CEO created v0, AI SDK, and is shaping AI-first web development with natural language to working apps.
OP / 67Guillermo Rauch's AI-First Development Philosophy
How the Vercel CEO built v0 and AI SDK to let developers build with natural language and ship faster.
OP / 68Hamel Husain's AI Evaluation Framework
How the CodeSearchNet pioneer built a systematic approach to debugging AI products through structured evaluation
OP / 69Harper Reed's LLM Codegen Workflow
How the former Obama CTO structures AI-assisted development into brainstorm, plan, and execute phases
OP / 70Harrison Chase's Context Engineering Framework
How the LangChain founder thinks about building reliable AI agents through systematic context management
OP / 71Hrishi Olickel's Approach to Building Practical AI Tools
How the Southbridge AI founder builds open-source tools and writes actionable guides for working with LLMs in production.
OP / 72Ian Nuttall's Non-Technical AI Building
A serial entrepreneur with 100+ exits shares his battle-tested Claude Code agents, session tracking, and parallel workflow tools
OP / 73James Briggs on Building AI That Works
How the Aurelio AI founder approaches real-world AI systems with semantic routing, RAG pipelines, and a focus on control and predictability.
OP / 74Jason Liu's Structured Output Methodology
How the Instructor creator built tools that force LLMs to return validated, type-safe data
OP / 75Jason McGhee's WebMCP: Turning Websites Into AI Tool Servers
How a former Cursor co-founder built WebMCP to let any website expose tools to AI agents without sharing API keys, now being standardized by W3C.
OP / 76Jeffrey Emanuel's Agentic Coding Flywheel
A former quant investor built 70+ open-source tools that let AI coding agents coordinate like a self-managing development team.
OP / 77Jeremy Longshore's Claude Code Plugins Hub
How an operations manager turned AI consultant built a 549-skill marketplace that turns plugins into production workflows
OP / 78Jerry Liu's Files-First Agent Architecture
The LlamaIndex founder on why filesystems are becoming the universal interface for AI agents—and why RAG is evolving beyond vector search
OP / 79Jesse Vincent's Superpowers Skills Framework
How the Keyboardio founder built an agentic skills methodology that turns Claude Code into a self-steering development system
OP / 80Jim Fan on Building Foundation Agents
Jim Fan builds AI agents that learn continuously across virtual and physical worlds, pioneering code-as-action and skill libraries for lifelong learning.
OP / 81Jim Fan's Embodied Agents and Skill Libraries
How Jim Fan builds LLM-powered agents that learn continuously through code generation and reusable skill libraries.
OP / 82Jinyoung Kim's AI4PKM System
How a Naver data scientist built a multi-agent system where AI maintains your personal knowledge base automatically
OP / 83João Moura's Multi-Agent Framework
How the CrewAI founder built a platform powering 1.4 billion agentic automations by orchestrating AI agents as collaborative crews
OP / 84John Lindquist's TypeScript Hooks for Claude Code
How the egghead.io co-founder brings type safety to Claude Code automation after spending over 1 billion tokens on AI-assisted development
Josh Pigford
Maybe Finance founder who open-sourced his failed startup, sparked community revival, and integrated AI into personal finance management
OP / 86Justine Tunney's Local-First AI
The systems hacker behind llamafile wants you to run LLMs like Unix commands—portable, composable, and completely offline.
OP / 87Karina Nguyen on Writing as AI Development Practice
How the OpenAI researcher uses daily writing logs and structured documentation to sharpen thinking and build better AI models.
OP / 88Karlicoss Builds a Programming Interface for Life
The developer behind HPI (Human Programming Interface), an open-source Python library that unifies 50+ personal data sources into a single API.
OP / 89Kaushik Gopal's Agentic Flow State
How the Fragmented podcast host and Instacart principal engineer runs parallel AI agents for hours using structured plans and tmux
OP / 90Kent Beck's Augmented Coding Philosophy
How TDD pioneer Kent Beck approaches AI-assisted programming through constrained context and breathing cycles.
OP / 91Kent C. Dodds' AI-Powered Developer Educator Workflow
How the creator of Testing Library and Epic React uses ChatGPT, Copilot, and Cursor to teach hundreds of thousands of developers
OP / 92Kevin Kwok on Loops, Atomic Concepts, and Company DNA
How the former Greylock investor and Sutter Hill partner thinks about compounding advantages, data content loops, and the structural patterns that shape tech companies.
Killian Lucas — Open Interpreter and the natural language OS
Killian Lucas built Open Interpreter to let you control your computer in plain English. the vision, the reality, and why natural language interfaces keep almost-working.
OP / 94Kye Gomez's Enterprise Multi-Agent Swarms Framework
How the Swarms AI founder is building infrastructure for the multi-trillion dollar agent economy—orchestrating autonomous agent swarms at enterprise scale.
OP / 95Lance Martin's Claude Diary
How a LangChain engineer built a self-learning memory system that lets Claude Code update its own instructions
OP / 96Linus Lee's Custom AI Tools
How a tools-for-thought researcher builds personal AI systems from scratch to expand what's possible to think
OP / 97Logan Kilpatrick's AI Developer Advocacy
How the Google DeepMind product lead builds with AI, invests in AI tools, and advocates for shipping fast over debating.
Louis Beaumont
Founder of Mediar AI and creator of screenpipe — 24/7 local screen and audio capture for AI memory. Building the open-source Rewind alternative.
OP / 99Maggie Appleton turns notes into working terrain
Maggie Appleton shows how public notes become living terrain: mapped, linked, visual, and useful for AI-era design work.
OP / 100Magnus Muller's Event-Driven Agent Architecture
How the Browser Use co-founder built a CLAUDE.md-powered codebase and event bus system for AI browser automation
OP / 101Mario Zechner strips coding agents down to the wires
Mario Zechner's pi-coding-agent pattern is minimal and inspectable: few tools, visible sessions, explicit context, and less hidden agent machinery.
OP / 102Matt Rickard's Approach to Structured LLM Output
Former Google engineer who builds tools for constraining LLM output with regex and grammars. Daily blogger sharing practical AI wisdom.
OP / 103Matt Rickard's Systems Approach to AI Tools
Former Google engineer applies distributed systems thinking to AI tools: structured output, browser inference, and personal productivity.
OP / 104Matt Shumer's Browser Agent Vision
How the HyperWrite CEO is building AI that operates your browser like self-driving mode for the web
OP / 105Matt Webb's Context Plumbing
Poem/1 creator explains why building personal AI systems is about plumbing context from where it lives to where it's needed.
OP / 106Max Woolf's Selective AI Approach
The BuzzFeed data scientist builds AI tools while rarely using generative LLMs himself
OP / 107Mckay Wrigley's AI Coding Education
How Mckay Wrigley built the most popular open-source AI chat UI and now teaches 25k+ people to code with AI through Takeoff.
OP / 108Michael Truell's Vision for Automated Coding
Cursor co-founder Michael Truell builds AI-first code editors and runs autonomous agents that write millions of lines of code over weeks.
OP / 109Mitchell Hashimoto on Agentic Coding
HashiCorp co-founder shares his process for building software with AI agents, including practical prompting strategies and real shipping examples.
OP / 110Nat Eliason's AI Productivity Stack
How the Growth Machine founder evolved from Roam Research to AI-powered systems for goals, writing, and personal knowledge
OP / 111Nat Friedman's AI Experiments
Former GitHub CEO who builds personal AI tools like natbot and openplayground, co-founded AI Grant and the Vesuvius Challenge to read ancient scrolls with ML
Nick Dobos — megaprompts and CLAUDE.md craft
Nick Dobos treats CLAUDE.md files and system prompts as engineering artifacts, not afterthoughts. the megaprompt philosophy and why prompt craft still matters in the age of agents.
OP / 113Nir Gazit's Open LLM Observability
How the Traceloop founder built OpenLLMetry to bring OpenTelemetry standards to LLM applications
OP / 114Omar Khattab turns prompting into programming
Omar Khattab's DSPy pattern replaces brittle prompt handwork with signatures, modules, optimizers, and evaluation loops that can be inspected and improved.
OP / 115Paul Gauthier's Terminal-First AI Coding
How the Inktomi co-founder built Aider, the open-source terminal tool that treats AI as a pair programmer instead of an autonomous agent
OP / 116Peter Yang's AI Content System
How a product lead interviews AI power users and builds systems for content creation at scale
OP / 117Pieter Levels' Solo Business Approach
How Pieter Levels built $3M+/year in solo revenue with AI coding, simple tech, and high failure tolerance.
Ray Svitla
Lisbon-based strategist writing self.md — how people build AI-powered personal operating systems.
OP / 119Rick Hightower's Universal Skill Installer
How a Fortune 100 AI architect built skilz, the package manager that installs agent skills across 14+ coding assistants
OP / 120Riley Goodside's Prompt Engineering Patterns
How the world's first Staff Prompt Engineer approaches LLM interaction as an experimental science
OP / 121Russ Poldrack's Ten Rules for AI-Assisted Scientific Coding
How a Stanford neuroscientist created a rigorous framework for using AI coding agents in research without sacrificing scientific integrity
Ryan Florence
Remix co-creator and React Router author exploring AI-assisted React development and full-stack framework evolution
Sahil Chaudhary
E2B co-founder who built sandboxed cloud environments for AI agents to execute code safely at scale
OP / 124Sahil Lavingia's AI-First Company
How the Gumroad CEO runs a $10M ARR company with AI agents writing 41% of code commits, targeting 80%
Sawyer Hood: Building AI's Weird Future in Public
ex-figma engineer who created draw-a-ui and explores every weird way to interact with llms — from sketched interfaces to browser agents
Scott Wu
Cognition Labs CEO who built Devin, the first autonomous AI software engineer that scared developers and raised $2 billion
OP / 127Sebastian Raschka: Understanding LLMs from First Principles
LLM researcher and author who teaches AI through implementation. His 'Build a Large Language Model (From Scratch)' book has 84k GitHub stars.
OP / 128Sergey Ris teaches beginners to ship with Claude Code
Sergey Ris turns vibe coding into a teachable loop for non-programmers: intent, context, Claude Code, review, and small shipped products.
OP / 129shmlkv's AI Building Pipeline
How a fullstack engineer chains specialized models to build everything from DNA analysis tools to automated video generators
Shreya Rajpal: Making AI Reliable with Guardrails
founder of guardrails ai who built the leading open-source framework for validating llm outputs and preventing hallucinations in production
Shrivu Shankar
Shrivu Shankar — VP of AI Strategy at Abnormal AI, author of 'How I Use Every Claude Code Feature,' practical Claude Code philosophy.
Siddharth Bharath
author of the comprehensive 'Cooking with Claude Code' guide that became the de facto manual for AI-assisted development
OP / 133Simon Eskildsen on Learning Infrastructure
How the turbopuffer CEO built personal systems for reading, retention, and knowledge management using Airtable, Anki, and custom tooling.
OP / 134Simon Willison's Workflow
How the Django co-creator uses CLI tools, SQLite logging, and rapid prototyping to build an AI-powered workflow
OP / 135Stan Girard's Open Source RAG Framework
How the Quivr creator went from weekend prototype to 38K GitHub stars and Y Combinator backing
OP / 136Steph Ango's File Over App Philosophy
How the Obsidian CEO builds personal systems around plain text files, local-first tools, and deliberate friction with AI.
OP / 137Steve Korshakov builds the AI tools he wants to use
Steve Korshakov's local AI pattern is builder agency: run models near your code, own the capture loop, and turn personal workflows into tools.
OP / 138Steve Krouse's Val Town Platform
How the Future of Coding creator built a social platform where AI can deploy JavaScript in 100 milliseconds
Steve Ruiz
tldraw founder who turned a whiteboard app into Make Real, the viral AI experiment that converts sketches into functional websites
OP / 140Steve Yegge on Chat-Oriented Programming
How the veteran programmer and Sourcegraph engineer champions AI-first coding and coined CHOP as the new default for developers.
OP / 141Suchintan Singh builds browser agents that check their work
Suchintan Singh's Skyvern shows how browser agents can see pages, plan actions, validate progress, and avoid brittle DOM scripts.
OP / 142Swyx's Learning in Public
Why documenting your learning publicly creates more career opportunities than private study.
OP / 143Takuya Matsuyama's AI-Powered Development Journaling
How the Inkdrop creator uses Claude Code and MCP to automate development journals without interrupting flow state
Taranjeet Singh — Mem0 and the memory layer
Taranjeet Singh, co-founder of Mem0, building the memory infrastructure for AI — graph + vector hybrid memory, and why every AI app will need a memory layer.
OP / 145Teresa Torres's Claude Code Task System
How the Continuous Discovery author built a personal operating system with Claude Code, Obsidian, and custom slash commands
OP / 146Theo Browne's Approach to Building AI Apps
How the creator of create-t3-app built T3 Chat into one of the fastest AI interfaces with TypeScript-first principles.
OP / 147Thomas Landgraf's Deep Knowledge Method
How a 40-year veteran developer uses research-driven knowledge documents to turn Claude Code hallucinations into production-ready implementations
OP / 148Thomas Ricouard's Agentic iOS Workflow
How the IceCubesApp creator abandoned Xcode editing to build iOS apps with Cursor, Claude Code, and XcodeBuildMCP - spending only 2% of his time in Xcode
OP / 149Thorsten Ball's Agentic Coding Vision
How the Amp lead at Sourcegraph reconciles skeptical friends and transformative personal experience with AI coding agents
OP / 150Tiago Forte's Second Brain + AI
PARA and CODE methods with AI. What works, what doesn't, and where AI actually helps.
OP / 151Tom Johnson's AI-Assisted Technical Writing Workflow
How the technical writing veteran uses iterative prompting and task decomposition to double his documentation output at Google
Toran Bruce Richards
Auto-GPT creator who launched the autonomous agent revolution and proved LLMs could recursively improve their own output
Travis VN
curator of awesome-claude-skills, the definitive GitHub repository cataloging Claude Code customizations and workflows
OP / 154Ty Dunn's Context Engineering for AI Coding
How the Continue.dev founder makes AI assistants productive through systematic context delivery and developer data collection
OP / 155Will McGugan's Toad Terminal AI
The creator of Rich and Textual built a universal frontend for AI coding agents after watching big tech ship broken terminal UIs
Yann LeCun
The deep learning pioneer behind convolutional networks, self-supervised learning, JEPA, and the world-model critique of LLM-only agents.
OP / 157Yohei Nakajima's Build-in-Public AI Agent System
How the BabyAGI creator and VC uses autonomous agents in his daily work—building experiments publicly to learn faster, meet founders, and contribute to the ecosystem.
157 practitioners with documented workflows.