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 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.

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

Alex Obenauer's Itemized Personal Computing Independent researcher building alternative OS paradigms where items replace apps and time organizes everything

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.

Amelia 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.

Amjad Masad's Replit Vision How the Replit founder is democratizing software creation with AI-powered coding environments

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.

Andy 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.

Anton 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.

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

Ben 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.

Ben 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.

Ben 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.

Benjamin Clavié on Making ColBERT Actually Usable How the creator of RAGatouille bridges information retrieval research and practical RAG systems through open-source tools.

Beyang 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.

Beyang Liu's Frontier Coding Agent How Sourcegraph's co-founder built Amp—an opinionated agent that ships to find the future.

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

Cassie Kozyrkov on Decision Intelligence How Google's first Chief Decision Scientist teaches humans to make better choices with AI and data.

Charles Packer — Building Machines That Learn and Remember

Charlie Holtz Builds AI Tools That Spark Joy Creator of Melty, Narrator, and Conductor shows how rapid prototyping turns AI experiments into viral projects.

Charlie Holtz on Rapid AI Prototyping How Charlie Holtz builds viral AI demos quickly by combining vision models, text-to-speech, and fast iteration cycles.

Chip 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

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

Cory 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.

Cory 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.

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

Dan 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.

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

Elvis 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.

Erik Bjäreholt on Quantified Self Tools How ActivityWatch creator builds open-source personal data infrastructure and terminal AI agents for self-knowledge through numbers.

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

Eugene Yan's Personal AI Workflow How an Amazon Principal Scientist builds personal AI tools for writing, reflecting, and staying informed

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

Flo 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.

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

George 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.

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

Gordon Brander on Building Protocols for Thought How the creator of Noosphere and Subconscious approaches tools for thought, living software, and AI-powered futures.

Gordon Brander on Building Protocols for Thought How the Subconscious founder uses evolutionary thinking to design AI-augmented tools for thought and decentralized knowledge systems.

Gordon 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.

Gordon Brander on Living Software Ecosystems Former Mozilla and Google engineer builds scenario planning AI while exploring what makes software ecosystems open-ended and evolving.

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

Guillermo 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.

Guillermo 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.

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

Harrison Chase's Context Engineering Framework How the LangChain founder thinks about building reliable AI agents through systematic context management

Hrishi 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.

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

James 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.

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

Jerry 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

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

Jim 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.

Jim Fan's Embodied Agents and Skill Libraries How Jim Fan builds LLM-powered agents that learn continuously through code generation and reusable skill libraries.

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

Justine Tunney's Local-First AI The systems hacker behind llamafile wants you to run LLMs like Unix commands—portable, composable, and completely offline.

Karina 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.

Karlicoss 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.

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 Beck's Augmented Coding Philosophy How TDD pioneer Kent Beck approaches AI-assisted programming through constrained context and breathing cycles.

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

Kevin 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.

Kye 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.

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

Logan 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.

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 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.

Matt Rickard's Systems Approach to AI Tools Former Google engineer applies distributed systems thinking to AI tools: structured output, browser inference, and personal productivity.

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

Matt 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.

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

Mckay 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.

Michael 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.

Mitchell Hashimoto on Agentic Coding HashiCorp co-founder shares his process for building software with AI agents, including practical prompting strategies and real shipping examples.

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

Nat 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

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%

Sawyer Hood: Building AI's Weird Future in Public

Sebastian 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.

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

Shreya Rajpal: Making AI Reliable with Guardrails

Simon Eskildsen on Learning Infrastructure How the turbopuffer CEO built personal systems for reading, retention, and knowledge management using Airtable, Anki, and custom tooling.

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

Steph 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.

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

Steve 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.

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

Theo 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.

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

Yohei 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.

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