Parallel AI Coding Agents with Git Worktrees: Ship 5 Features at Once

A git worktree is a linked working directory attached to an existing repository. Unlike cloning a repo into multiple directories (which duplicates the full object database), a worktree shares the underlying git history and object store while giving you a fully independent filesystem view on a different branch.

The canonical git command is simple: git worktree add ../my-feature feature/my-feature. This creates a directory called my-feature one level up, checked out to the branch feature/my-feature. You can run your dev server, install dependencies, and make commits in this directory entirely independently of your main working tree.

Each worktree has its own index (staging area) and HEAD pointer. Changes you make in one worktree are invisible to all others until they are committed and pushed. You can have as many worktrees as your machine can handle — they are cheap to create (a few kilobytes of metadata) and fast to remove (git worktree remove followed by git worktree prune).

Git has supported worktrees since version 2.5 (released in 2015), but most developers have never used them because the traditional single-developer, single-branch workflow didn't need them. The rise of AI coding agents that run in the background — potentially for minutes or hours — changes this calculation entirely.

The most common mistake developers make when trying to run multiple AI coding agents is assigning them all to the same branch in the same directory. The failure mode is immediate and painful.

Here is the manual workflow for running multiple Claude Code agents in parallel using git worktrees. This is the foundation AIDEN automates — but it is useful to understand what is happening under the hood.

This workflow is entirely valid and many experienced developers use it. The overhead is the problem: at 3 agents, it's a 15-minute setup; at 5 agents, you spend more time managing the workflow than reviewing what the agents produced. The agents are faster than the scaffolding around them.

AIDEN was built specifically to eliminate the manual overhead of the worktree + parallel agent workflow. Every step in the manual setup above is automated. Here is what AIDEN does end-to-end when you launch a story:

The net result: you describe a story, approve the spec, and AIDEN handles every worktree and agent lifecycle command from creation to PR. You spend your time writing story cards and reviewing PRs — not managing terminals and git plumbing.

AIDEN also handles edge cases the manual workflow leaves open: if an agent gets blocked and exits unexpectedly, AIDEN marks the card as blocked and preserves the branch. If an agent needs to install dependencies (npm install, pip install), it does so inside its worktree without affecting any other worktree's node_modules or virtual environment.

There is no hard limit on git worktrees themselves — git handles hundreds of them without performance degradation. The practical limits come from three other places: