Ai-Coding
Using AI for software development
64 practitioners working with Ai-Coding:
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
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.
Amjad Masad's Replit Vision
How the Replit founder is democratizing software creation with AI-powered coding environments
Andrej Karpathy's AI-First Development
How Andrej Karpathy builds software in the AI era: vibe coding for prototypes, three-layer workflow for production.
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
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
Brian Casel's Spec-Driven Development
How a serial bootstrapper built Agent OS and Design OS to bring structure to AI-assisted coding workflows
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 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.
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
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
Git Worktrees for Parallel Agents
Run multiple AI agents on the same codebase without conflicts using git worktrees
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
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.
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
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
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
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
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
Malleable Software
Software as clay you reshape, not appliances you consume
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
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.
Multi-Agent Coordination: How to Run Three AI Agents Without Merge Conflicts
The four-phase workflow for running parallel AI agents on the same codebase using tmux, git worktrees, and a shared AGENTS.md file.
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.
Plan Mode in Claude Code
Research before coding to avoid wrong approaches and hallucinations
Prompt Engineering for Agent Coding
Structure prompts that make AI coding agents 30-40% more effective
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
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
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.
Terminal-Native AI Coding: Neovim with Claude Code
Run Claude Code alongside Neovim in split terminal panes. Keep your vim keybindings while getting AI assistance. No VS Code required.
The Three-Layer Workflow
Match your AI tool to the task: tab completion for most work, agents for multi-file changes, reasoning for architecture
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
Thorsten Ball's Agentic Coding Vision
How the Amp lead at Sourcegraph reconciles skeptical friends and transformative personal experience with AI coding agents
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
Vibe Coding
Building software through conversation instead of keystrokes