dispatching-parallel-agents

You can dispatch parallel agents by assigning one agent per independent problem domain, allowing multiple investigations to run concurrently and produce focused summaries for faster resolution.

Use parallel agents when you have three or more independent failures across test files or subsystems that can be investigated without shared state, reducing overall turnaround time compared to sequential work.

The best way to orchestrate parallel tasks is to dispatch one agent per independent failure domain, specifying constraints and output expectations for each to synthesize a unified summary from their concurrent results.

No, parallel agent dispatch applies to multi-domain debugging where tasks are strictly independent and can run without shared state, ensuring each agent can investigate its problem domain without conflicts.

You collect results by having each parallel agent produce a focused summary for its assigned domain, then synthesizing these independent outputs into a unified summary for overall resolution.

When dispatching agents for parallel task orchestration, specify constraints and output expectations for each independent problem domain to ensure focused summaries that can be effectively synthesized into a unified result.