A git branching strategy for AI coding agents

A branching strategy that works fine for two humans can fall apart when you have five agents committing at once. The fix isn't a more elaborate model — it's a simpler, stricter one. Here's a branching strategy designed for a fleet of agents working in parallel.

Why strategy matters more with agents

Agents work fast and in parallel, so any weakness in your branching model gets hit harder and more often. Long-lived branches drift further; ambiguous ownership causes more collisions. A strict, simple strategy turns that speed from a risk into an advantage.

One branch per task

The foundation: every task gets its own branch off main, in its own git worktree. No two agents share a working tree, so they can't clobber each other, and any task can be thrown away by deleting its branch. This is trunk-based development taken to its natural, agent-friendly conclusion.

Merge in dependency order

Finished branches don't merge in a free-for-all — they line up in a queue and integrate in dependency order. A passing branch lands before the tasks that depend on it start, so each builds on integrated work rather than a stale snapshot. The queue is what keeps parallel work coherent.

Keep main releasable

Main should always be shippable. Enforce it mechanically: every merge passes a verify gate, and any conflict routes to review instead of being forced through. Main only advances through green, ordered integrations, so "is main releasable?" is always yes.

Keep branches short-lived

The best defense against conflicts is time. A branch that lives an hour drifts less than one that lives a week. Scope tasks small enough that a branch is created, reviewed, merged, and deleted in a single cycle — short-lived branches are conflict-resistant by nature.

For a fleet of agents, the right branching strategy is the boring one: one task, one short branch, merged in order.

Branch naming and hygiene for agents

When agents create branches, a little naming discipline keeps the repo legible. A simple convention — task/<short-slug>, like task/coupon-field or task/fix-mobile-nav — makes it obvious at a glance what each branch is for, and ties cleanly to the task it came from. Keep one task per branch so a branch maps to a reviewable unit of work, and avoid long-lived "kitchen sink" branches that accumulate unrelated changes. Because each branch lives in its own git worktree, you can have many open at once without confusion, as long as the names tell you what they are. Good hygiene here pays off at review time: a tidy list of well-named, single-purpose branches is far easier to reason about than a pile of agent-run-7.

Protecting main with many agents running

With a fleet of agents committing in parallel, your main branch needs guardrails so it stays releasable at all times. Enforce three rules mechanically. First, nothing merges without a verify gate — main only advances through changes that build and pass tests. Second, merge in dependency order through a queue, so each task integrates on top of finished work rather than a stale snapshot, which is what keeps the history coherent. Third, route conflicts to review instead of force-merging them. Together these mean "is main shippable?" is always yes, no matter how many AI coding agents are working at once. The whole point of branch-per-task isolation is that the chaos stays on the branches and never reaches main.

Cleaning up after parallel runs

Parallel agents generate a lot of branches and worktrees, and stale ones accumulate fast if you don't prune. The rule is simple: a branch and its worktree are disposable, so remove them the moment the task merges or is discarded. A merged task's branch can be deleted immediately; a discarded run's branch and worktree should be torn down so they don't clutter git worktree list. Doing this by hand across a dozen worktrees and several projects is exactly the bookkeeping you'd rather automate — which is where an orchestrator helps. Command Fleet creates a worktree per task, merges in dependency order, and cleans up automatically when a task is done, so the branching strategy stays tidy without you policing it.

The branching strategy in one paragraph

For a fleet of AI coding agents, the right git branching strategy is the boring, strict one: one short-lived branch per task, off main, in its own git worktree; merge each finished branch back through a queue in dependency order once it passes a verify gate; keep main releasable at all times by never merging a red build and routing conflicts to review instead of forcing them; and clean up branches and worktrees the moment a task merges or is discarded. That's trunk-based development taken to its agent-friendly conclusion — isolation keeps the chaos on the branches, ordering keeps the history coherent, and short lifetimes keep conflicts rare. You can run this by hand, but the bookkeeping across dozens of worktrees and several projects is exactly what an orchestrator like Command Fleet automates, so the strategy stays tidy without you policing every branch.

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