ultrapilot

Parallel development tasks avoid file conflicts through exclusive file ownership partitioning. Ultrapilot decomposes a multi-component task into subtasks, assigns non-overlapping file ownership to up to five workers, and coordinates boundary files during a structured integration phase.

Coordinating frontend and backend work concurrently is best handled by a four-phase workflow: decomposition, ownership assignment, parallel execution, and integration with validation. This mechanism ensures independent modules execute simultaneously while shared boundary files are safely finalized.

You can spawn up to five parallel workers for multi-component task decomposition. This limit aligns with Claude Code constraints, assigning each worker exclusive file ownership to execute independent modules like databases, tests, and docs concurrently without overwriting shared files.

File ownership partitioning enforces exclusive per-worker access to specific files during parallel execution. Workers handle independent modules concurrently while boundary and shared files are deferred to a coordinated integration phase, preventing merge conflicts and overlapping write operations.

Failed parallel tasks can be resumed using built-in retry and conflict-handling safeguards. The workflow provides a clear recovery path with resume and cancellation support during the integration and validation phases, ensuring structured finalization of boundary files.

A parallel autopilot workflow should be used for multi-component development tasks where independent modules like frontend, backend, databases, tests, and docs can execute concurrently. Sequential execution is better when heavy file interdependencies prevent safe ownership partitioning.