dispatching-parallel-agents

Parallel debugging works by dispatching independent tasks to isolated agents for concurrent execution. You group failures by subsystem or file, giving each agent a narrow, self-contained objective so concurrent work can be coordinated without collisions.

Triage multiple test failures concurrently by splitting the investigation into parallel tracks when issues do not share state or order dependencies. This approach assigns each independent failure its own agent, resolving unrelated root causes faster than sequential troubleshooting.

Use parallel agents for multi-subsystem work when issues have explicit task boundaries, isolated context, and independent outputs. It is designed for situations where each task has its own scope, evidence, and likely root cause without shared state or order dependencies.

Coordinate results from parallel agents by reviewing outputs from multiple agents, checking for overlap, and combining the outcomes safely. This coordination and integration step ensures concurrent workstreams are merged without collisions after independent execution finishes.

Dispatching parallel agents is limited by the need for independent outputs and isolated context. It should not be used when issues share state or have order dependencies, as concurrent execution requires explicit task boundaries to avoid collisions.