dispatching-parallel-agents

To run parallel agents for independent tasks, you use an orchestration layer to spawn dedicated agents per domain, ensure isolation, and aggregate results without shared mutable state. This enables concurrent investigation of unrelated problems.

Dispatch parallel agents when you have 2+ independent problem domains requiring no shared state or sequential dependencies. This approach reduces total execution time by allowing isolated agents to investigate unrelated failures concurrently.

To aggregate results from concurrent agents, the orchestration layer collects per-domain outputs after parallel execution completes. You review these isolated findings to ensure safe integration of the concurrent task results.

No, coordinating parallel agents is applicable only to scenarios where tasks are unrelated, require no shared state, and can be executed without sequential dependencies. Sequential tasks require a different orchestration approach.

The best way to orchestrate concurrent agents is to assign one dedicated agent per independent problem domain. This dispatching method maintains isolation, prevents shared mutable state issues, and enables parallel work across domains.

Yes, you need an orchestration layer to dispatch parallel agents. It handles spawning agents for each domain, ensures task isolation, and aggregates the final results safely without relying on shared mutable state.