dispatching-parallel-agents

To execute parallel task processing, you dispatch specialized agents to work concurrently on independent issues without shared state. This allows each agent to resolve a separate problem domain simultaneously, reducing sequential investigation time.

Parallel task execution is a mechanism that dispatches multiple agents to resolve independent issues concurrently. You should use it when dealing with multiple unrelated problems, such as separate test failures, that can be investigated without dependencies.

Yes, you can dispatch parallel agents to fix multiple test failures concurrently. The system assigns each independent test failure to a separate agent, ensuring focused problem-solving within specific domains without interference.

The limitation of dispatching parallel agents is that tasks must be completely independent without shared state. If your independent issues require dependencies or shared data to resolve, agents cannot operate without interference and parallel execution will fail.

To start dispatching agents for parallel task resolution, assign your independent issues by domain. For example, dispatch agents to investigate and resolve separate issues like 'File A test failures' and 'File B test failures' concurrently.