dispatching-parallel-agents

To run parallel agents for unrelated failures, you assign each distinct problem to a separate agent with an isolated prompt, enabling concurrent work without cross-contaminating session history.

The best way to dispatch independent tasks in parallel is to assign each well-scoped problem domain to a dedicated agent, ensuring clear domain boundaries and no shared state between them.

Context isolation works by giving each concurrent agent a clean reasoning environment without prior session history, preventing data leakage and cross-contamination while executing parallel tasks.

You should use a parallel agent coordination layer when multiple unrelated problems arise across test suites or subsystems, requiring isolated contexts to process distinct failures concurrently.

To aggregate results without leaking context, use a coordination layer that collects and reconciles isolated agent outputs into a unified report, ensuring no shared state or history is exposed across domains.

The limitation of isolated parallel agents is that they require well-scoped problem domains and clear boundaries; tasks with shared state or overlapping contexts cannot be dispatched concurrently without leaking context.