dispatching-parallel-agents

To parallelize independent agents, you dispatch multiple agents simultaneously to address distinct tasks or failures in different subsystems, executing concurrent processes to significantly reduce overall workflow completion time.

You should use parallel agent dispatch when you have multiple non-dependent tasks across different subsystems, such as debugging unrelated authentication and database failures, allowing concurrent execution instead of sequential processing.

To prevent file modification conflicts when dispatching parallel agents, you must ensure the concurrent agent processes do not share mutable state or modify the same files within their respective subsystems.

Yes, you can dispatch parallel agents to investigate independent subsystems at once, such as sending three separate agents to concurrently fix independent issues in authentication, database, and API modules.

The limitation of parallel agents for workflow performance optimization is that tasks must be strictly independent; agents cannot share mutable state or modify the same files, restricting this approach to non-dependent tasks only.