dispatching-parallel-agents

You dispatch parallel agents by assigning one agent per independent problem domain to run concurrently without shared state, reducing overall investigation time. Each agent receives a focused objective and constraints to work independently.

The multi-agent dispatch pattern assigns one agent per independent domain to run concurrently without shared state. It provides prompt templates and a workflow for parallel evaluation, review, and integration to tackle unrelated failures simultaneously.

Dispatch parallel agents when you have multiple unrelated failures or incidents that can be worked on without shared state. If the problem domains are independent, concurrent investigation reduces overall effort compared to sequential processing.

You review and integrate results from parallel agents by collecting summaries from each domain and verifying compatibility across them. The workflow provides a structured pattern for parallel evaluation and integration of the concurrent findings.

No, parallel agents are designed for independent tasks that can be worked on without shared state. If your tasks require shared state, the concurrent dispatch pattern is not suitable for those specific dependent problems.