Why AI coding agents overwrite each other—and a safer Git workflow
AI Architecture & Agents • Developer Joy & Instant DX Score
💡 Summary
If one AI agent fixes a bug while another changes the same file, a shared checkout can turn a small task into a confusing merge. A separate Git worktree gives each task its own files. It helps a developer review the changes before bringing them into the project.
Key Metrics & Specifications
| Problem | Two agents edit the same checkout at the same time |
| Working approach | One Git worktree and branch per task |
| Review step | Inspect the diff and run the checks relevant to that task |
| Cleanup | Merge or preserve the work before removing its worktree |
| Further reading | AvalonCompany guides |
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The problem starts with shared files, not a weak prompt
Two agents can understand their instructions and still overwrite each other if both write into the same checkout. The Git index, uncommitted files and local configuration are shared state. A more detailed prompt does not separate those files.
Start by giving each task a clear scope: the files it can change, what result it should produce, and how you will check it. Smaller scopes also keep the token context focused on the work that matters.
Give each task a place to work
Create a branch and worktree for the task, then run the agent from that directory. Keep another task in a different worktree. Review each diff on its own before combining the branches.
Before merging, check for changes outside the requested scope and run the relevant tests. For a production change, review the final behavior as well as whether the code compiles. A separate worktree prevents file sharing; it does not prove that the change is correct.
Keep the workflow small enough to maintain
Worktrees still share the repository history, and the branches can conflict when you merge them. They may also share databases, ports and external accounts. Use separate test resources where the task requires them.
After merging, remove the worktree and temporary branch when they are no longer needed. If the work is unfinished, preserve it first. The useful habit is a repeatable review cycle, not a larger collection of agent roles.
Continue with the free AvalonCompany guides for practical ways to organize your tools and review repeatable work.
⚠️ Risk Considerations
Separate worktrees do not isolate databases, ports or external accounts. Review those dependencies before running tasks in parallel.
🎯 Target Audience
Developers using multiple coding agents or switching between several tasks in one repository.
Frequently Asked Questions (FAQ)
Q. Do I need several agents to use this workflow?
No. A worktree can also keep one unfinished task separate while you fix an urgent issue in another branch.
Q. Does this automatically make model calls cheaper?
No fixed saving follows from using worktrees. Measure token usage for comparable tasks before claiming a reduction.
Continue with practical AI workflow guides
Read more free guides on using AI and organizing repeatable work.
Opens tools and guides on the main AvalonCompany site.