dispatching-parallel-agents

To run parallel agents without cross-contamination, you dispatch separate isolated agents for each non-overlapping task, ensuring no shared state exists between them. Results are then collected via centralized aggregation for holistic synthesis.

Parallel agent orchestration is the concurrent execution of multiple independent agents to tackle separate issues. You should use it when you have several unrelated failures or tasks with no shared state, enabling concurrent work without interference.

To dispatch separate agents for concurrent work, you need structured prompt design with clearly defined agent roles. This ensures safe coordination and allows each agent to report its result for centralized aggregation.

Parallel task dispatch is designed for independent problem domains with no shared state. If your issues share context or state, this approach is not suitable because isolation prevents cross-contamination but also prevents shared context access.

The best way to aggregate results from concurrently running agents is through centralized result aggregation. Each isolated agent reports its individual result, enabling holistic synthesis without interference from other agents.

Dispatching parallel agents requires clearly defined roles to ensure safe coordination and fault isolation. Without structured roles, concurrent work on independent problems risks overlapping boundaries and cross-contaminating the isolated state.