dispatching-parallel-agents

To run independent tasks in parallel, you can dispatch specialized agents that operate in isolated contexts without shared state, allowing multiple unrelated investigations to execute simultaneously and reduce overall processing time.

Task isolation ensures each agent works in its own independent environment without interference from others. This avoids shared state conflicts during parallel processing and allows multiple unrelated investigations to execute cleanly.

You dispatch multiple agents by providing a specific task for each independent issue, such as assigning one agent to fix bug A and another to analyze logs for issue B, enabling simultaneous parallel processing.

Yes, parallel task management is suited for troubleshooting issues across multiple files. It assigns independent investigations to specialized agents operating in isolated contexts, avoiding sequential processing delays and shared state interference.

You should avoid using parallel agents when tasks are not independent. This approach requires isolated contexts without shared state, meaning dependent tasks or investigations requiring sequential processing are not suitable for this parallel dispatch mechanism.