dispatching-parallel-agents

Running multiple independent tasks concurrently involves dispatching one agent per independent problem domain. This allows separate investigations to execute at the same time, accelerating resolutions when tasks have no cross-dependencies or shared state.

You need to dispatch parallel agents when facing two or more independent tasks with no shared state or sequential dependencies. This approach prevents wasted time from sequential coordination and allows concurrent work on unrelated failures or subsystems.

Scoping tasks for parallel execution requires clear task boundaries, single-domain agent prompts, and non-shared state. Each agent must handle a well-defined problem area to ensure safe parallel work without interfering with other subsystems.

Parallel agents are not suited for subsystems that share state or have sequential dependencies. They require non-shared state and no cross-domain dependencies to ensure safe parallel work without conflicts during concurrent execution.

Synthesizing results from concurrent agents involves gathering each agent's findings after they complete their independent domain tasks. The system then combines these separate outcomes to produce a final synthesized result for all dispatched tasks.

Dispatching parallel agents works effectively for single-domain problem areas when there are multiple independent tasks. Each agent receives a single-domain prompt to handle a well-defined problem area, ensuring focused investigation without cross-domain interference.