Parallel AI Coding with Git Worktrees: Run Multiple Agents Without Conflicts
The article presents a method for parallel AI coding using Git worktrees to allow multiple AI agents to work on the same repository simultaneously without conflicts. Git worktrees enable checking out multiple branches at once in separate directories, each with its own working tree. This isolates changes from different agents, preventing merge conflicts when agents modify overlapping files. The approach avoids the overhead of constant branch switching and stash operations. Developers can assign each agent a dedicated worktree, run them in parallel, and later merge changes selectively. The technique is particularly useful for AI-assisted development where multiple agents generate code concurrently. The article provides practical commands to create and manage worktrees, emphasizing that each worktree shares the same repository history but maintains independent working directories. This setup allows agents to operate without interfering with each other's changes, streamlining the integration of AI-generated code into a project.
Enables parallel AI agent workflows without merge conflicts, boosting productivity for multi-agent coding.