[!] TOPIC ARCHIVE // #AI-CODING
#Ai-Coding
Using AI for software development
agent control left the chat box
microsoft pushed models and Scout toward the desktop, runtime projects added policy gates, and a coding-agent paper showed compiler feedback changing success rates.
May 24 Radar: browser ports, house CLIs, and room agents
Chrome turned DevTools into an agent surface, Microsoft pushed Claude Code users toward Copilot CLI, and real-world agents arrived with both ESP32 sandboxes and audio-injection receipts.
the vibe coding failure wave (and what survives it)
the first generation of AI-coded projects is imploding. here's why speed without comprehension is just accelerated failure — and what the survivors are doing differently.
Shrivu Shankar
Shrivu Shankar — VP of AI Strategy at Abnormal AI, author of 'How I Use Every Claude Code Feature,' practical Claude Code philosophy.
Cursor
Cursor — the AI-powered IDE built on VS Code. agent modes, Tab completions, background agents, and the case for IDE-native AI coding.
claude code vs windsurf
terminal agent vs AI-native IDE. claude code and windsurf represent two different bets on how developers will work with AI.
Claude Code vs GitHub Copilot
Claude Code vs GitHub Copilot — architecture, agent modes, pricing, and real differences between terminal-native AI coding and IDE autocomplete.
Claude Code vs Cursor: complete comparison 2026
Claude Code vs Cursor — feature-by-feature comparison of terminal-native AI coding vs IDE-based AI coding in 2026. pricing, architecture, and when to use each.
claude code vs aider
two terminal-first AI coding tools, very different philosophies. here's what matters when choosing between claude code and aider.
claude code terminal vs ide: when the terminal still wins
updated may 2026. claude code now runs in terminal, ide, desktop, and browser. this guide shows when the terminal is still the right surface for scripts, ssh, ci, parallel sessions, and repeatable automation.
CHOP: chat-oriented programming
steve yegge coined it, the industry adopted it. CHOP is what happens when you stop typing code and start describing it.
agent-first design
how to structure repositories so AI agents can actually work in them. the code isn't just for humans anymore.
AGENTS.md: How to Write Instructions for AI Coding Agents
AGENTS.md tells AI coding assistants how to work on your project. Learn what to include, directory structure, examples, and common mistakes.
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.
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
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.
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
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
Suchintan 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.
shmlkv's AI Building Pipeline
How a fullstack engineer chains specialized models to build everything from DNA analysis tools to automated video generators
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
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
Omar 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.
Nir Gazit's Open LLM Observability
How the Traceloop founder built OpenLLMetry to bring OpenTelemetry standards to LLM applications
Max Woolf's Selective AI Approach
The BuzzFeed data scientist builds AI tools while rarely using generative LLMs himself
Mario 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.
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
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
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
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.
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
Hamel Husain's AI Evaluation Framework
How the CodeSearchNet pioneer built a systematic approach to debugging AI products through structured evaluation
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
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
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
Cole 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.
Brian Casel's Spec-Driven Development
How a serial bootstrapper built Agent OS and Design OS to bring structure to AI-assisted coding workflows
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
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
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
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
Harper Reed's LLM Codegen Workflow
How the former Obama CTO structures AI-assisted development into brainstorm, plan, and execute phases
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.
Boris 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.
Matt Shumer's Browser Agent Vision
How the HyperWrite CEO is building AI that operates your browser like self-driving mode for the web
Pieter Levels' Solo Business Approach
How Pieter Levels built $3M+/year in solo revenue with AI coding, simple tech, and high failure tolerance.
Alex Albert's Claude Mastery
Anthropic's Claude Relations lead shares the prompting patterns that make Claude most effective
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.
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
AI Coding Tools Comparison 2025
Claude Code vs Cursor vs GitHub Copilot vs Windsurf: pricing, features, and when to use each AI coding assistant
Steve Krouse's Val Town Platform
How the Future of Coding creator built a social platform where AI can deploy JavaScript in 100 milliseconds
Amjad Masad's Replit Vision
How the Replit founder is democratizing software creation with AI-powered coding environments
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
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.
Malleable Software
Software as clay you reshape, not appliances you consume
Andrej Karpathy's AI-First Development
How Andrej Karpathy builds software in the AI era: vibe coding for prototypes, three-layer workflow for production.
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
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%
Plan Mode in Claude Code
Research before coding to avoid wrong approaches and hallucinations
Thorsten Ball's Agentic Coding Vision
How the Amp lead at Sourcegraph reconciles skeptical friends and transformative personal experience with AI coding agents
Geoffrey Litt's Malleable Software Vision
How a researcher at Ink & Switch and Notion is building toward software that users can reshape like clay
Git Worktrees for Parallel Agents
Run multiple AI agents on the same codebase without conflicts using git worktrees
Swyx's Learning in Public
Why documenting your learning publicly creates more career opportunities than private study.
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
Vibe Coding
Building software through conversation instead of keystrokes
Peter Yang's AI Content System
How a product lead interviews AI power users and builds systems for content creation at scale
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
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.
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
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
Simon Willison's Workflow
How the Django co-creator uses CLI tools, SQLite logging, and rapid prototyping to build an AI-powered workflow
The Three-Layer Workflow
Match your AI tool to the task: tab completion for most work, agents for multi-file changes, reasoning for architecture
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
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
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.