dispatching-parallel-agents

Parallel agent dispatch assigns separate agents to distinct, unrelated problems simultaneously. It tackles the inefficiency of sequential investigation by enabling concurrent resolution of independent failures, significantly reducing overall debugging time.

Dispatch parallel agents when multiple independent failures occur across different subsystems or files. If 5 test files fail due to different root causes after a code change, dispatching 5 agents simultaneously resolves issues much faster than a single agent working sequentially.

Before dispatching parallel agents, you need clear problem domain identification and focused agent prompts. You must identify the distinct failures across your subsystems or test files and assign each agent a specific, independent task for effective execution.

The primary limitation of parallelizing tasks is that it requires the problems to be truly independent. If failures share the same root cause or affect the same subsystem, parallel agent dispatch is less effective and sequential investigation may be necessary.

Yes, you can use parallel agent dispatch to investigate failures across different subsystems. The mechanism is designed to optimize problem-solving by parallelizing investigations across separate files or subsystems concurrently, provided the tasks are independent.

The best way to resolve independent test failures is dispatching parallel agents to investigate each failing file simultaneously. By assigning focused agents to distinct root causes, you can fix multiple unrelated problems concurrently rather than sequentially.