dispatching-parallel-agents

Parallel investigation dispatches separate agents for independent problems. It groups failures by root cause to prevent cross-domain contamination, assigns one agent per domain with focused tasks, and runs them concurrently to collect concise summaries for quick synthesis.

Dispatch parallel agents when 3+ failures or subsystems are unrelated and can be investigated concurrently without shared state. This approach ensures focused tasks per domain and outputs concise summaries for integration into a cohesive plan.

AI coordination for independent subsystems requires a structured agent prompt format. You define a focused agent task for each independent domain, dispatch them to run in parallel, review the summaries, and consolidate changes into a cohesive plan.

No, parallel agents require unrelated subsystems that can be investigated concurrently without shared state. You must identify independent domains first to prevent cross-domain contamination before dispatching separate agents.

After parallel agents complete their focused tasks, you review the concise summaries from each domain. You merge these findings into a cohesive plan by consolidating changes gathered during the concurrent investigation.