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The Parallel Agent Dispatcher provides a structured framework for scaling AI-assisted development by identifying independent problem domains and dispatching them to parallel agents. By decoupling unrelated tasks—such as disparate test failures across different files or independent subsystem bugs—it eliminates sequential bottlenecks and leverages concurrent execution to drastically reduce total debugging time. This skill is essential during major refactors or large-scale maintenance where multiple non-conflicting issues arise simultaneously, ensuring each agent remains focused on a narrow, manageable scope.
