Articles
Long-form notes on building local-first agents, the trade-offs nobody publishes, and what worked.
Every team building AI inside a company hits the same wall: the model doesn't know who you are. Why vector RAG hits a ceiling on relational data, what the graph turn unlocks, where MCP fits, and what context infrastructure actually solves.
On the same day I released Three-Body Agent, Anthropic shipped Managed Agents. Two solutions to the same problem, one solo dev and one frontier lab, no overlap in audience. What the convergence means.
I moved my whole autonomous coding pipeline onto GitHub Actions in two days, because Anthropic shut the door on the previous setup overnight. Notes on what changed and what I would do differently.
182 PRs merged in 10 days, most of it while I was asleep or with my family. The architecture matters less than the discipline around it. Here is what made it work.
The agent solved the problem and the theory stayed in the prompt. Notes on what gets left behind when the code is clean and the model in your head isn't.
The constraint used to be typing speed. Now it's how well you direct, review, and orchestrate. Notes on what one person can ship with the right agent setup.
Migration tickets sit in backlogs forever because they're tedious, not because they're hard. That's exactly the work an agent should do.