parallel-subagents

Parallel execution for multiple independent agents is coordinated by spawning teammates simultaneously to tackle disjoint tasks, using shared task lists and automated completion gates to manage the workflow safely.

Dependency analysis prevents conflicts during parallel task execution by identifying file overlaps and task dependencies before spawning agents, ensuring teammates only run in parallel when their work is truly independent.

Yes, you can use parallel agent teams for multi-angle code reviews and parallel verification tasks, provided the files being analyzed do not overlap and there are no dependencies between the review targets.

The best way to speed up plan execution with multiple independent components is spawning multiple teammates at once to tackle disjoint tasks in parallel, dramatically reducing overall cycle time.

TaskCompleted gates work in multi-agent workflows by acting as automated synchronization points within the shared task list, ensuring cross-teammate communication occurs safely before dependent work proceeds.

You should avoid parallelizing tasks across agent teams when files overlap or dependencies exist between tasks, as parallel execution is only applicable to independent components where conflicts are absent.