dispatching-parallel-agents

To run independent debugging tasks in parallel, you can dispatch a dedicated agent per problem domain. This isolates scope and prevents cross-talk, reducing total resolution time for multiple unrelated failures by enabling concurrent investigation.

Parallel task dispatch is a coordination method that launches a dedicated agent per independent problem domain. It enables parallel work for 3+ unrelated tasks without shared state, providing faster resolution through isolated, concurrent investigations.

You should use parallel agents for workflow automation when managing 3+ unrelated failures or tasks that can be solved independently without shared state. This approach enables parallel investigation and faster resolution by isolating each problem domain.

To coordinate independent agents and prevent conflicts, you perform a lightweight aggregation step after parallel execution. This summarizes the results from each dedicated agent to ensure clear summary and non-conflicting integration once they finish.

Before dispatching parallel agents, you need a task-dispatch framework and clearly defined agent prompts. Providing a set of independent tasks with these defined prompts allows the system to dispatch each to a dedicated agent for parallel execution.

Parallel dispatching agents are not suitable for tasks that share state. This approach is strictly applicable to 3+ unrelated failures or tasks that can be solved independently, as shared state prevents the isolated investigation required for parallel work.