dispatching-parallel-agents

To run independent debugging tasks in parallel, dispatch isolated agents with clearly scoped tasks and structured prompts. Each agent investigates a root cause without shared state, returning structured outputs that summarize findings for rapid integration.

Use parallel agents for task dispatch when you have 3 or more independent failures that can be investigated without shared state or sequential dependencies. This approach preserves task isolation and accelerates resolution by running agents concurrently rather than sequentially.

The best way to coordinate independent agents is assigning one agent per problem with an isolated prompt and clearly scoped task. Run them concurrently to reduce total time, then aggregate their structured outputs into a coherent, integrated plan.

No, parallel agents require independent failures without shared state or sequential dependencies. If your debugging tasks rely on shared state or must execute in a specific order, sequential execution is necessary instead of dispatching concurrent agents.

To consolidate structured outputs from parallel agents, aggregate the findings returned by each isolated agent after concurrent execution completes. Combine these structured summaries to form a coherent, integrated plan that addresses all investigated root causes.

Yes, you need to prepare isolated prompts with clearly scoped tasks before dispatching parallel agents. Each independent workflow requires its own prompt and structured output format to ensure agents operate without shared state and enable rapid integration of findings.