Run multiple AI coding agents at once when the work has independent parts that can safely move in parallel. The benefit is less waiting: tests, UI changes, backend updates, documentation, and refactors can progress at the same time.
Parallel agents are useful for big features, migrations, cleanup projects, and experiments where you want to compare different approaches. They also reduce context switching for the human reviewer because each worker can return a focused diff instead of one oversized change.
The risk is coordination. More agents do not help if they edit the same files, duplicate work, or create merge conflicts. Verdent addresses this with planning, worker dispatch, and git worktree-based workspace isolation. Each workspace has its own branch checkout and file state, so parallel work remains separate until review. Parallelism is valuable only when the merge path stays controlled.
