dispatching-parallel-agents

Parallel agent dispatching solves multiple independent test failures concurrently by assigning each agent to a specific test file or subsystem. Instead of debugging sequentially, you dispatch separate agents to investigate and fix each domain simultaneously, reducing total resolution time.

Use parallel agent dispatching when you have 3 or more independent failures across different subsystems or test files with no shared state between them. Each problem domain must be addressable in isolation; parallel processing accelerates fixes when failures don't depend on each other.

Yes, parallel agents work across independent subsystems without shared dependencies. Each agent investigates and fixes only its targeted domain, applying constrained changes locally. This approach scales to handle complex systems with many failing components simultaneously.

Each agent must work on a truly independent problem domain with no shared state or context requirements. Agents produce domain-specific output summaries; failures tied together through dependencies or shared configuration require sequential or unified investigation instead.

Concurrent investigation eliminates sequential investigation delays. By grouping failures by independent problem domain and tasking separate agents simultaneously, parallel dispatching solves multiple problems in the time it would take to address one sequentially.