dispatching-parallel-agents

To run parallel agents for concurrent investigation, dispatch one agent per independent problem domain. This allows each agent to work in parallel without shared state or sequential dependencies, reducing overall investigation time.

The best way to orchestrate concurrent tasks for unrelated problems is dispatching one agent per domain. This requires clear domain scoping and independent task definitions to let agents work in parallel without cross-domain interference.

You should use parallel task dispatching when you have 2 or more unrelated problems that can be solved without shared state or sequential dependencies. It enables one agent per domain to handle independent failures concurrently.

To collect and synthesize summaries from dispatched parallel agents, you need a mechanism to aggregate and compare their outputs. This allows you to validate fixes, integrate changes quickly, and make final decisions based on the concurrent results.

The main limitation of dispatching parallel agents is that it only applies to scenarios with independent problems. Tasks requiring shared state, sequential dependencies, or cross-domain interference cannot be handled concurrently using this approach.

Yes, you need to define clear domain scopes and independent task definitions before dispatching agents. Scoped ownership prevents cross-domain interference and ensures each agent has a clear goal to work in parallel.