dispatching-parallel-agents

To coordinate parallel agent investigations, use a dispatcher to assign each failure to a dedicated agent, run them concurrently, and merge the collected summaries without conflicts.

Dispatch parallel agents when you have 3 or more failures across distinct subsystems that require independent analysis without shared context, ensuring isolation and avoiding cross-task context leakage.

The best way to isolate independent failures is to split the failures into distinct, non-overlapping problem domains and assign one focused agent per domain to analyze them in parallel.

To merge findings without conflicts, collect concise summaries from each dedicated agent, verify consistency across the results, and integrate them into a coherent resolution.

Parallel agents are designed for independent analysis without shared context. If failures overlap or share dependencies, isolating them into distinct domains may not be possible without cross-task context leakage.

When creating focused agent tasks, assign each agent clear goals, constraints, and expected outputs to ensure the investigations remain isolated and produce non-conflicting summaries for the dispatcher.