How do you avoid messy diffs when running parallel Cursor/AI agent tasks?

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1

I’m curious how people here manage parallel AI coding work.

When I let multiple AI coding tasks happen in the same repo checkout, I run into:

  • mixed unrelated diffs

  • files touched by multiple tasks

  • dev server/port collisions

  • unclear review order

  • risky merges

I started using Git worktrees to isolate each task, then built a small local CLI around that workflow.

It gives each task its own worktree, branch, optional services, ports, logs, and cleanup flow.

The principle is:

Parallel building is okay. Parallel merging is not.

Repo:

https://github.com/WorktreePilot/worktree-pilot

Does anyone here use worktrees with Cursor agents, or do you mostly keep one AI task active at a time?

3

@ShlomiKayra veja se ajuda neste vídeo: https://youtu.be/m2QbDiJuemI?si=wPyka5Mp3opbxDjZ Se for necessário executar agentes em paralelo deve impor limites rígidos de atuação à IA. Avise coisas do tipo “Não alterar nada na pasta” Se o agente for mexer em mais coisas, deixar ele mais limitado. “usar somente x pasta”. Mas acho que o vídeo vai explicar melhor que eu.. rs

5

Tool author here — just posted about exactly this pattern in Built for Cursor:

For parallel agents specifically, the angle I’ve been using is comparing each agent’s declared scope vs its actual diff at the end of the run, then surfacing the deltas before merging. Curious what your current workflow for parallel diffs looks like?