dispatching-parallel-agents

To run parallel agents, dispatch multiple autonomous agents to handle distinct problem domains concurrently. This parallel execution prevents sequential bottlenecks and reduces total turnaround time for unrelated failures or subsystem investigations.

Parallel agent orchestration coordinates multiple autonomous agents to tackle unrelated tasks concurrently. Use it when failures or tasks are completely independent, such as separate test files or features, where isolated work avoids sequential bottlenecks.

Assign dedicated agents by enforcing per-task prompts that restrict each agent to a distinct problem domain. This isolation prevents cross-task interference while allowing the agents to execute concurrently and aggregate summaries for integration.

Dispatching parallel agents works effectively for separate test files and subsystems because it assigns dedicated agents to each isolated domain. Agents execute concurrently, preventing sequential bottlenecks and aggregating summaries for quick review.

You can use parallel agents to investigate multiple features while avoiding production code changes. The agents execute concurrently across isolated domains, aggregating summaries for integration without modifying the existing production environment.

Parallel agent dispatch is limited to independent tasks that can be solved in isolation. It should not be used for dependent workflows requiring sequential execution, as cross-task interference prevention relies on complete domain separation.