dispatching-parallel-agents

To run parallel investigations, dispatch a separate agent for each independent problem domain. This enables concurrent debugging across subsystems, reducing total cycle time and speeding up resolution without shared state conflicts.

Use parallel agents for debugging when 3 or more independent failures exist across different subsystems with no shared state. This approach allows concurrent investigation of each failure domain, significantly reducing total cycle time compared to sequential work.

To coordinate multiple agents, define clear task scoping, per-agent goals, input constraints, and standardized output summaries for each. Agents run safely without shared state or conflicts, and you merge their concise summaries after parallel debugging completes.

A key limitation of dispatching parallel agents is that it requires independent problem domains with no shared state. If failures across subsystems are interdependent or share state, parallel agents cannot safely coordinate and may interfere with each other during investigation.

Yes, you can use parallel task distribution to investigate failing test files across different subsystems. Spawn separate agents to investigate each failing area concurrently, then merge the standardized output summaries to resolve all independent failures faster.

For parallel task distribution, you must set clear task scoping, per-agent goals, and input constraints for each agent. This standardized setup ensures safe coordination without interference and provides concise summaries to merge after concurrent investigations.