Three weeks ago I wrote about building a self-coordinating AI development team. At that point the system had processed about 1,000 beads and was starting to feel like more than a prototype. Since then, the bead counter passed 3,400. The system has been running almost continuously on my laptop, building features, fixing its own bugs, and – most instructively – breaking in ways I didn’t anticipate. This is what I learned. ...
I wanted to see what happens when you give a team of AI agents a codebase and let them work on it with minimal supervision. Not a demo with three tasks, but a real, ongoing development project running for weeks. The result is ai-team – a multi-agent coordination system where specialized AI agents pick up tasks, write code in isolated git branches, get reviewed and tested by other agents, and merge their work back. As I write this, the system has processed over 1,000 task units (“beads”) and is currently building its own knowledge graph feature. ...