Git Worktrees Solve AI Agent File Conflicts But Miss Cross-PR Merge Risks
Git worktrees are widely used to give parallel AI coding agents separate working directories, preventing one agent from overwriting another's files mid-run. However, worktrees only provide spatial isolation and cannot detect semantic conflicts that arise when two agents independently modify related code in ways that clash only after both branches merge to main. A large-scale study of over 142,000 AI-generated pull requests found a 27.67% merge-conflict rate, with many additional silent failures occurring after clean merges. Standard tools like CI pipelines, code review, and merge queues each evaluate one PR in isolation, leaving cross-PR relationships unmonitored while the branches are still open. Addressing this gap requires a layer that watches multiple open pull requests simultaneously and flags potential overlaps before they reach the main branch.
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