dispatching-parallel-agents

Dispatching parallel agents assigns a dedicated agent to each independent problem domain so work proceeds concurrently without shared state. The pattern identifies domains, creates focused tasks, dispatches them in parallel, and integrates the structured summaries.

Multi-agent orchestration is applicable when there are two or more unrelated failures or tasks that can be explored concurrently without dependencies. It isolates work by assigning one agent per independent problem domain to prevent state conflicts.

The best way to coordinate concurrent agents is to dispatch them to investigate independent problems without shared state, then review their summaries and integrate the results. This structured pattern ensures work is isolated and parallelized.

Parallel agent dispatch is designed for tasks without dependencies. It is applicable when there are 2+ unrelated failures or independent tasks that can be explored concurrently, not for related tasks requiring shared state or sequential execution.

After dispatching parallel agents, you review the clear summaries generated by each agent and integrate the results to complete the tasks. This structured review step ensures the concurrent outputs are combined effectively.

Dispatching parallel agents requires isolating each task domain to enable parallel execution without shared state. By assigning one agent per independent problem, work can proceed concurrently and avoid conflicts during orchestration.