executing-plans

You coordinate multi-subsystem implementation plans by grouping related tasks by subsystem, dispatching independent groups concurrently to sub-agents, and monitoring TaskUpdate status until completion to maximize throughput.

The best way to group related tasks for parallel execution is clustering them by subsystem, which reduces context switching and enables reuse across agents during cross-cutting feature implementation.

Progress tracking works by creating per-group tasks with TaskCreate and monitoring them via TaskUpdate status updates, maintaining visibility and traceability end-to-end while sub-agents execute grouped work items.

Yes, this approach supports safe auto-recovery during failures by defining clear task groups and handoffs within the plan file, allowing structured recovery when orchestrating sub-agents across subsystems.

Yes, you need a plan file listing major work items to orchestrate sub-agents effectively, grouping tasks by subsystem and spawning per-subsystem agents to monitor implementation progress end-to-end.

Grouping tasks by subsystem helps because it clusters related work to reduce context switching and enables reuse across agents, speeding delivery when dispatching independent groups concurrently for parallel execution.