Using git worktree for parallel AI agent development

TL;DR If you want to run multiple AI coding agents in parallel, git worktree is the answer. It gives each branch its own working directory inside the same repository, so you do not need stash gymnastics or multiple clones. What is Git Worktree? Even if you are juggling several tasks, a human developer can still only work in one context at a time. The old pattern was to stash your current changes, check out another branch, do some work there, and then come back and pop the stash later. git worktree changes that entire flow. It lets one Git repository have multiple working directories attached to it. Normally, a repository has a single working tree. With worktree, you can keep the same .git history and object database while checking out different branches into separate folders. The structure looks like this: /projects/ ├── my-app/ ← main worktree (main branch) │ └── .git/ ← real git data ├── my-app-feature/ ← linked worktree (feature/auth branch) │ └── .git ← not a directory, but a file