parallel-agents

You can fix multiple unrelated failing test files concurrently by dispatching isolated subagents to investigate each distinct root cause in parallel, completely avoiding sequential processing bottlenecks and context interference. The system then aggregates all changes for your final review.

Parallel subagent dispatch is used to execute isolated, focused tasks with no shared state concurrently, accelerating workflow optimization for independent subsystem debugging and concurrent research across separate domains.

You run concurrent debugging tasks without context bleed by assigning one focused subagent per independent task domain, providing each with tailored prompts, constraints, and output requirements to maintain strict isolation.

You should not use parallel agents for tasks with shared state, sequential dependencies, or scenarios where subagents would edit the same files or share resources, as the system automatically skips parallel dispatch to prevent conflicts.

No, parallel agent dispatch does not work for related subsystem debugging tasks. It automatically skips parallel execution for related tasks or scenarios where agents would edit the same files or share resources to prevent conflicts.