Lessons I learned while building my own coding agent from scratch.
Coding Agents Are Easy, Actually - Kara's Nonsense
Software engineering is here to stay
10 things I learned from burning myself out with AI coding agents
Opinion: As software power tools, AI agents may make people busier than ever before.
where good ideas come from (for coding agents)
(and the part where users have to level up)
Agent Skills
AI coding agents take the shortest path to done, which usually means skipping the specs, tests, and reviews that make software reliable at scale. Agent Skill...
Claude Code, Codex and Agentic Coding #8
When I started this series, everyone was going crazy for coding agents.
How to harness AI
"Coding agents" are complicated but intelligible
Coding After Coders: The End of Computer Programming as We Know It
In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird.
Coding After Coders: The End of Computer Programming as We Know It
In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird.
The Gap Through Which We Praise the Machine
My current theory of agentic programming: people are amazing at adapting the tools they're given and totally underestimate the extent to which they do it, and the amount of skill we build doing that is an incidental consequence of how badly the tools are designed.
Curated skills for AI agents · skilld
A curated registry of agent skills for the npm packages and GitHub repos you actually use. One install command, every agent. Get notified when they change.
OpenCode Zen | A curated set of reliable optimized models for coding agents
OpenCode - The open source coding agent.
AGENTS.md
AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.
How coding agents work - Agentic Engineering Patterns
How coding agents work - Agentic Engineering Patterns
Skills, forks, and self-surgery: how agent harnesses grow
Claude Code, NanoClaw, and Pi take radically different approaches to harness extensibility. The tradeoff is always safety vs. agent agency.
