dispatching-parallel-agents

Dispatch parallel agents by assigning one agent per independent problem domain. This concurrency pattern enforces per-domain focus and isolated execution, allowing unrelated tasks or failures to be investigated concurrently rather than sequentially.

Use parallel agents when you have multiple unrelated failures or tasks that can be addressed in isolation without shared state. This concurrency approach prevents interference and race conditions while allowing independent problems to be tackled concurrently for faster resolution.

Dispatch independent tasks by assigning a dedicated agent to each problem domain with a defined prompt and structured summary. This orchestration pattern enforces per-domain focus and isolation, preventing interference and race conditions during concurrent execution.

Yes, this orchestration pattern dispatches tasks in parallel and aggregates structured summaries for integration. Each agent receives focused goals and boundaries, returning a concise summary of findings to be integrated after concurrent tasks complete.

Parallel agents are limited to independent problems that can be addressed in isolation without shared state. This approach is unsuitable for tasks requiring shared state or interdependent processing, as it enforces per-domain focus to prevent interference between concurrent agents.