TORSDAG
2026-06-11

Too many projects, too many ideas, too few hours — one learning a day anyway

myTeam

An autonomous AI dev team that turns GitHub issues into pull requests.

Label an issue, and a pipeline of AI agents picks it up: a project manager enriches it into a plan, a tech lead dispatches tasks, workers implement and open PRs. Humans review at gates. It’s an ongoing experiment in how much of the routine engineering loop can run unattended — and in what kinds of supervision structures make that trustworthy rather than terrifying.

MYTEAM — ISSUE IN, ONE PR OUT A GITHUB ISSUE, LABELED FOR WATCH the only way in — remove the label and the plan dies PM AGENT — the brief gate consults three perspectives before approving; unclear briefs become clarifying questions on the issue, not bad code REVIEWER — cold read no context, no stakes; one of the three voices the PM must hear approved brief TECH LEAD — routes and collects fans tasks out round-robin, accepts results out of order, opens exactly one PR DEV ALPHA own queue, own clone, runs the model DEV BETA parallel to alpha, never the same task twice DEV MAC native lane for platform builds Docker can't do one PR, tests attached THE MERGE GATE agents build, a human merges — no agent holds write access to main THE CLOUDY BRAIN DWG NO. 003 MYTEAM REV. A drawn by: human + machine SHEET 1 OF 1
CODE
  • Legacy worker code removed, auto-PRs arrive
  • Admin dashboard and readable team-lead chat
  • Workers go autonomous with multi-task plans
  • Moves to real cloud database and secrets
  • Issue watcher feeds a backlog, not chaos
  • AI-curated newspaper page takes shape
POSTS

No posts from this project yet — they'll gather here as they publish.