dispatching-parallel-agents

To dispatch parallel agents, assign one agent to each independent problem domain. This ensures each agent operates concurrently without sharing session state, returning concise summaries of findings and fixes for integration into your main workflow.

Parallel agent delegation assigns isolated agents to independent problems concurrently. You should use it when managing 3 or more unrelated failures or subsystems, as it accelerates resolution and preserves context by preventing cross-contamination between tasks.

You assign independent tasks by deploying separate agents with focused context and constraints for each problem domain. Each agent operates in isolation without inheriting your session history, ensuring results are aggregated without cross-contamination.

Yes, dispatching parallel agents is designed for exactly this scenario. When 3 or more failures are unrelated, dispatching parallel investigations accelerates resolution by assigning a separate agent to each problem domain.

You aggregate results by collecting the concise summaries returned by each isolated agent. The agents are designed to return structured results that can be integrated into the main workflow with minimal conflicts.

You should not use parallel agents for task management when your failures or subsystems are related rather than independent. Parallel delegation relies on isolating agents to prevent cross-contamination, which is ineffective for dependent problems.