dispatching-parallel-agents

To run parallel agents for debugging, you group unrelated failures by problem domain, craft isolated prompts with specific goals and constraints, and dispatch them concurrently to investigate issues without shared state.

Parallel agent orchestration is the process of dispatching multiple specialized agents to execute independent tasks concurrently. You should use it when investigating two or more unrelated failures that can be analyzed without shared state.

You structure prompts by defining a clear scope, goal, constraints, and expected deliverables for each agent. This ensures isolated execution per agent, allowing you to aggregate their findings and resolve conflicts during the consolidated review.

No, you should not use concurrent agents for QA tasks if the failures share state. This approach applies strictly to independent failures that can be analyzed concurrently without cross-task interference or shared state dependencies.

The best way to integrate results is to compare the aggregated outputs from the parallel agents, resolve any conflicts between their findings, and merge the changes into a final report without cross-task interference.

Dispatching parallel agents requires no specific dependencies or component configurations. It relies entirely on crafting focused, self-contained prompts that specify context, goals, constraints, and deliverables for each independent agent.