I built an AI agent that behaves like a junior engineer instead of a senior one.

It executes workflow deterministically: picks exactly one eligible ticket, enforces rules, routes work across repos, drafts a small PR, then hands review and judgment back to humans.

The whole system runs on GitHub Actions + APIs (no workflow SaaS). It often produces partial implementations or TODOs rather than “solutions,” by design.

This is not about replacing engineers — it’s about removing workflow friction and cognitive tax. Happy to answer questions or hear where people think this would break down.