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The ephemeral-worktree workflow that lets multiple AI coding agents share one repository without fighting over locks — or silently dropping your work in a bad merge. The pattern, the exact commands, and the discipline that keeps it safe.
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The moment you run more than one AI coding agent against the same repo, two things break. They fight for a single git lock and stall — and worse, the long-lived branches you reach for to fix that diverge and silently drop files in a 3-way merge. We lost 72 files that way before a tree-reachability audit caught it. This is the workflow that makes both failure modes impossible by construction.
Why a workflow
Four short sections — no email required to see them. The PDF is the printable, copy-paste version with the commands under each.
The two failure modes — lock contention and silent merge loss — and which one actually costs you files.
The pattern: branches so short-lived the merge is always trivial, each on its own index.
Two commands to start an isolated worktree, four to land it as a clean fast-forward.
Six rules that hold the workflow honest as you scale up your agent count.