claude-devfleet

You can coordinate parallel coding by dispatching multiple AI agents into isolated git worktrees, allowing them to execute code tasks simultaneously without file conflicts. The system coordinates planning, dispatches missions, and tracks progress.

Breaking down complex software projects involves generating a mission DAG with dependency tracking to map task relationships. The system decomposes tasks into non-circular dependencies and auto-dispatches subsequent missions when prior dependencies complete.

Yes, orchestrating parallel agents in isolated worktrees requires Claude DevFleet with an active MCP connection. This setup enables the system to deploy missions, monitor progress via dashboards, and compile structured reports for decision making.

Tracking progress across multiple coding agents is handled via dashboards that monitor active missions and generate structured reports. This provides visibility into parallel task execution across isolated worktrees for project decision making.

Yes, you can auto-dispatch downstream coding tasks when dependencies finish by using the auto_dispatch feature. This automatically triggers subsequent missions in the DAG, ensuring parallel agents continue working in isolated worktrees without manual intervention.

Enforcing non-circular DAGs for multi-agent task orchestration prevents circular dependencies that would stall parallel execution. This ensures mission dependencies resolve sequentially, allowing auto-dispatch to trigger downstream worktrees reliably without deadlocks.