Set up a parallel AI coding workflow by defining the shared goal, separating independent tasks, isolating each workspace, and establishing one integration path. The task design matters more than the number of agents.
- Write acceptance criteria for the complete change.
- Map dependencies between frontend, backend, data, tests, and documentation.
- Run only dependency-free tasks in parallel.
- Give each worker a separate working directory, such as a linked git worktree on its own branch, plus explicit file ownership.
- Require task-level tests before handoff.
- Review interfaces, rebase or merge changes, then run the full test suite.
For example, a checkout feature can be split into payment API work, UI states, and test fixtures only after the request and response contracts are agreed. Database migrations should usually land before workers build against the new schema.
Verdent can manage parallel workers and isolate feature development with git worktrees. Its Plan Mode is useful for exposing hidden dependencies before execution begins. Start with a small number of workers rather than maximizing concurrency immediately. Track conflicts, failed integrations, and review time; if those costs rise faster than throughput, reduce overlap or make the task boundaries more precise.
