dispatching-parallel-agents

Parallel agent dispatching breaks complex problems into isolated sub-tasks and assigns each to a separate agent for concurrent execution. This approach works best when tasks have no shared state or dependencies, enabling simultaneous diagnosis across unrelated root causes and reducing overall completion time.

Use parallel agents when investigating multiple independent failures—such as test suite failures, subsystem bugs, or security vulnerabilities—that require separate analyses. Sequential debugging suits tightly coupled problems; parallel dispatching accelerates diagnosis when root causes are unrelated and fixes won't conflict.

Successful parallel execution requires strict isolation of changes per agent, one agent per independent domain, and a final integration review. This prevents conflicting modifications across failure investigations and ensures all fixes coexist safely in the codebase.

Yes. Assign one agent to analyze dependencies, another to identify security vulnerabilities, and additional agents to other independent tasks. Since these investigations have no shared state, they execute concurrently and produce separate fix recommendations for integration review.

Avoid parallel dispatching for tightly coupled investigations where fixes depend on each other's output, shared mutable state, or sequential decision-making. Parallel agents require completely independent sub-tasks with isolated change scope to prevent conflicts and ensure correctness.

Parallel dispatching executes multiple independent investigations simultaneously, reducing total runtime. Sequential execution completes one task before starting the next. Parallel suits independent root causes; sequential suits dependent analyses where later tasks require earlier results.