People

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.

Adam 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

Addy 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

Ado Kukic's Advent of Claude How Anthropic's Developer Relations engineer documented 31 days of Claude Code tips, from basics to advanced agent patterns

Affaan Mustafa's Everything Claude Code An Anthropic hackathon winner shares 10 months of battle-tested Claude Code configs: agents, skills, hooks, and context management

Alex Albert's Claude Mastery Anthropic's Claude Relations lead shares the prompting patterns that make Claude most effective

Alex 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

Alexander 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

Ali Abdaal's AI Content System: From 2 Hours to 30 Minutes How a 6M+ subscriber creator uses AI to save 10+ hours per week. Complete breakdown of tools, workflows, and results.

Andreas 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

Andrej Karpathy's AI-First Development How Andrej Karpathy builds software in the AI era: vibe coding for prototypes, three-layer workflow for production.

Ariya 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

Armin Ronacher's Agentic Coding Practice How the Flask creator approaches AI-assisted development with Claude Code — token-efficient, low-intervention, and surprisingly Vim-friendly

Artur Piszek's WordPress Personal OS How a software engineer turned WordPress into a self-hosted personal operating system with AI-ready architecture

Bas Nijholt's Agentic Coding Journey How a quantum physicist at IonQ went from AI skeptic to shipping packages faster than ever with Claude Code

Boris Cherny's Parallel Agent Workflow How the creator of Claude Code runs 5+ AI sessions simultaneously with shared context and automated PR workflows

Brandon 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.

Brian Casel's Spec-Driven Development How a serial bootstrapper built Agent OS and Design OS to bring structure to AI-assisted coding workflows

Brian Christner's Human OS How a Docker Captain built a unified personal operating system using AI and MCP servers

Chris 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.

Chris Wiles' Claude Code Showcase Template A full-stack engineer's comprehensive CLAUDE.md template with skills, agents, hooks, and GitHub Actions

Cole Medin's Context Engineering Method How a YouTube educator turned AI coding into a repeatable system with context engineering, PRPs, and open-source agent builders

Craig Motlin's Autonomous Development Loop How a Two Sigma VP built a self-running Claude Code system with todo-driven automation and parallel worktrees

Daksh Gupta's Independent Code Review Thesis Why the Greptile founder believes AI that writes code should never be the same AI that reviews it

Daniel Miessler's Personal AI Infrastructure How a security veteran built Fabric and PAI to turn AI tools into a unified cognitive operating system

Daniel 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.

David Shapiro's ACE Framework How an AI researcher designed a layered cognitive architecture for building autonomous personal AI systems

David 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.

Debanjum Singh's Open Personal AI How the Khoj founder builds trustworthy AI assistants that search your documents locally

Dylan 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

Elie 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

Ethan 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.

Ettore 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

Fabrizio Ferri-Benedetti's Context Curator Approach How the Elastic principal tech writer builds LLM tools for documentation testing and positions writers as context architects for AI

Geoffrey Litt's Malleable Software Vision How a researcher at Ink & Switch and Notion is building toward software that users can reshape like clay

Georgi Gerganov's Local LLM Revolution How a Bulgarian physicist built llama.cpp and made large language models run on laptops, phones, and Raspberry Pis

Gregor 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

Hamel Husain's AI Evaluation Framework How the CodeSearchNet pioneer built a systematic approach to debugging AI products through structured evaluation

Harper Reed's LLM Codegen Workflow How the former Obama CTO structures AI-assisted development into brainstorm, plan, and execute phases

Ian 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

Jason Liu's Structured Output Methodology How the Instructor creator built tools that force LLMs to return validated, type-safe data

Jason 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.

Jeffrey 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.

Jeremy Longshore's Claude Code Plugins Hub How an operations manager turned AI consultant built a 549-skill marketplace that turns plugins into production workflows

Jesse Vincent's Superpowers Skills Framework How the Keyboardio founder built an agentic skills methodology that turns Claude Code into a self-steering development system

Jinyoung Kim's AI4PKM System How a Naver data scientist built a multi-agent system where AI maintains your personal knowledge base automatically

João 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

John 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

Kaushik 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

Kent 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

Lance Martin's Claude Diary How a LangChain engineer built a self-learning memory system that lets Claude Code update its own instructions

Linus Lee's Custom AI Tools How a tools-for-thought researcher builds personal AI systems from scratch to expand what's possible to think

Maggie Appleton's Digital Garden: Six Patterns for Building a Personal Knowledge System Learn Maggie Appleton's proven digital garden framework: topography over timelines, growth indicators, and evergreen notes for public learning.

Magnus 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

Mario Zechner's Minimal Coding Agent Pi-coding-agent uses 4 tools, no permissions, no MCP. The minimal Claude Code alternative that actually works.

Matt Shumer's Browser Agent Vision How the HyperWrite CEO is building AI that operates your browser like self-driving mode for the web

Max Woolf's Selective AI Approach The BuzzFeed data scientist builds AI tools while rarely using generative LLMs himself

Nat Eliason's AI Productivity Stack How the Growth Machine founder evolved from Roam Research to AI-powered systems for goals, writing, and personal knowledge

Nir Gazit's Open LLM Observability How the Traceloop founder built OpenLLMetry to bring OpenTelemetry standards to LLM applications

Omar Khattab's DSPy Framework How a Stanford PhD built a programming model that replaces brittle prompts with declarative Python code

Paul 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

Peter Yang's AI Content System How a product lead interviews AI power users and builds systems for content creation at scale

Pieter Levels' Solo Business Approach How Pieter Levels built $3M+/year in solo revenue with AI coding, simple tech, and high failure tolerance.

Ray Svitla's Context Obesity Framework How a network-state researcher reframes burnout as overloaded working memory and offers a systematic fix for AI-augmented workflows

Rick Hightower's Universal Skill Installer How a Fortune 100 AI architect built skilz, the package manager that installs agent skills across 14+ coding assistants

Riley Goodside's Prompt Engineering Patterns How the world's first Staff Prompt Engineer approaches LLM interaction as an experimental science

Russ 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

Sahil Lavingia's AI-First Company How the Gumroad CEO runs a $10M ARR company with AI agents writing 41% of code commits, targeting 80%

Sergey Ris's Vibe Coding Education Sergey Ris teaches vibe coding and Claude Code workflows to non-programmers. His Telegram community of 1,100+ members ships products with AI tools.

shmlkv's AI Building Pipeline How a fullstack engineer chains specialized models to build everything from DNA analysis tools to automated video generators

Simon Willison's Workflow How the Django co-creator uses CLI tools, SQLite logging, and rapid prototyping to build an AI-powered workflow

Stan Girard's Open Source RAG Framework How the Quivr creator went from weekend prototype to 38K GitHub stars and Y Combinator backing

Steve Korshakov's Build-Your-Own-AI-Stack Approach The Telegram engineer who runs LLMs locally, trains voice models in his basement, and wears an AI device to capture his thoughts. His rule: if you need an AI tool, build it yourself.

Steve Krouse's Val Town Platform How the Future of Coding creator built a social platform where AI can deploy JavaScript in 100 milliseconds

Suchintan Singh's Vision-Based Browser Automation How the Skyvern founder built an AI agent that sees websites like humans do instead of parsing brittle HTML

Swyx's Learning in Public Why documenting your learning publicly creates more career opportunities than private study.

Takuya Matsuyama's AI-Powered Development Journaling How the Inkdrop creator uses Claude Code and MCP to automate development journals without interrupting flow state

Teresa Torres's Claude Code Task System How the Continuous Discovery author built a personal operating system with Claude Code, Obsidian, and custom slash commands

Thomas 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

Thomas 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

Thorsten Ball's Agentic Coding Vision How the Amp lead at Sourcegraph reconciles skeptical friends and transformative personal experience with AI coding agents

Tiago Forte's Second Brain + AI PARA and CODE methods with AI. What works, what doesn't, and where AI actually helps.

Tom 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

Ty Dunn's Context Engineering for AI Coding How the Continue.dev founder makes AI assistants productive through systematic context delivery and developer data collection

Will 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

84 practitioners with documented workflows.