dispatching-parallel-agents

You dispatch parallel agents by assigning one agent per independent problem domain, defining clear goals and constraints for each, and orchestrating their simultaneous execution to produce summarized results without shared state.

Dispatching agents without shared state means each autonomous agent handles a separate problem domain independently, preventing cross-domain interference and avoiding interdependencies during parallel execution.

Use parallel agent orchestration when multiple subsystems or failures require separate analysis that can proceed independently. It applies to scenarios where several unrelated problems can be solved simultaneously without cross-task dependencies.

Define clear task boundaries by assigning one agent per domain and establishing scoped goals and constraints for each agent. This ensures predictable outcomes and prevents cross-domain interference during parallel execution.

No, parallel agents are designed for independent tasks without shared state. Applying them to related tasks with interdependencies or cross-task dependencies breaks the one agent per domain model and prevents predictable outcomes.

The best way to orchestrate multiple agents is to assign one dedicated agent per problem domain, run them simultaneously to reduce total investigation time, and enforce clear task boundaries to produce summarized results.