Like a lot of people, I found that using AI coding tools doubled my PR volume but created a new problem I call 'AI sprawl.' The agents act like interns with amnesia—they write good isolated code but constantly violate established architectural decisions, turning senior engineers into full-time PR reviewers.
I wrote this post detailing a 5-phase pipeline I built to fix this. The core mechanics rely on using git worktree to safely run up to 5 agents in parallel, and a review loop that forces agents to validate their diffs against our Architecture Decision Records (ADRs) before a human ever sees the PR.
The biggest win has been having AI automatically reject bad linting suggestions by citing our ADRs as the ultimate source of truth.
I'd love to hear how other teams are handling the review bottleneck as AI accelerates code generation, or any critiques on the workflow. Happy to answer any questions!
Hi HN, author here.
Like a lot of people, I found that using AI coding tools doubled my PR volume but created a new problem I call 'AI sprawl.' The agents act like interns with amnesia—they write good isolated code but constantly violate established architectural decisions, turning senior engineers into full-time PR reviewers.
I wrote this post detailing a 5-phase pipeline I built to fix this. The core mechanics rely on using git worktree to safely run up to 5 agents in parallel, and a review loop that forces agents to validate their diffs against our Architecture Decision Records (ADRs) before a human ever sees the PR.
The biggest win has been having AI automatically reject bad linting suggestions by citing our ADRs as the ultimate source of truth.
I'd love to hear how other teams are handling the review bottleneck as AI accelerates code generation, or any critiques on the workflow. Happy to answer any questions!