Agents Case study
Claude Code doubled merged pull requests while cutting revert share by over 40%
From June to September, Claude Code's merged pull requests more than doubled while the share reverted fell by over 40%; the team shifted much review to machines and emphasized fast reversals. These are practical production lessons for reviewing code at agent-generated volume.
- WhatClaude Code’s review process aims to minimize human review time without increasing reverts or incidents.
- HowClaude reviews and fixes most routine changes before a human looks; revert and incident rates serve as guardrails.
- Why it mattersFor AI teams shipping many changes, automated checks can preserve human attention for issues that need human judgment.