parallel-execution

To fix multiple unrelated test failures concurrently, dispatch one isolated agent per failing subsystem. This parallel execution approach assigns agents to independent problem domains, ensuring non-interference and maximizing throughput.

Concurrent agent dispatch is managed by classifying failures by root cause area and assigning one agent per domain. This requires explicit confirmation of isolation before dispatch, alongside defined scope, boundaries, and deliverables for each agent.

You should use parallel execution for task management when facing multiple tasks that share no state and have no sequential dependencies. It is ideal for managing independent failures across separate subsystems to drastically reduce overall resolution time.

Dispatching agents to independent problem domains requires explicit confirmation that tasks share no state and have no sequential dependencies. You must also define the scope, boundaries, and deliverables for each agent before dispatch.

No, you cannot use this parallel execution approach for subsystems that share state. It is explicitly designed for tasks that have no sequential dependencies and requires explicit confirmation of isolation before dispatching agents.