Parallel AI Coding with Git Worktrees: Run Multiple Agents Without Conflicts
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Directly addresses parallel AI agent coding workflows with a practical Git worktree technique, highly actionable for senior engineers.
Git worktrees, available since Git 2.5, solve the race condition problem of multiple AI agents sharing a single working directory by providing isolated file systems per agent while sharing a single .git repository. This eliminates file write collisions, branch checkout interruptions, and lock file corruption without the storage overhead of full clones—a 2GB monorepo cloned five times wastes 10GB of redundant objects. Each worktree maintains its own HEAD, index, and working directory state, enabling true parallel execution without semaphores or message queues.