Making the Most of Git Worktrees and Dev Containers
When several AI agents work on the same project, the code changes are not the only thing that can collide. One agent may need Python 3.10, another may need Python 3.12, and a third may be testing a dependency upgrade. If they all share the same environment, the work quickly becomes harder to reason about.
Git worktrees and Dev Containers solve different parts of that problem. Worktrees separate the code. Dev Containers separate the runtime. Used together, they make parallel work much easier to manage. There is one catch, though: a worktree can stop behaving like a normal Git repository once it is opened inside a container. I built a template repository to solve that problem and make it easy to set up the pattern in your own projects. Know more about in the next sections.