dispatching-parallel-agents

To dispatch parallel agents, define independent problems, assign a focused agent per domain with explicit constraints, and run them concurrently to collect and merge results. This preserves your main session context for coordination work by keeping each problem isolated.

Use multi-agent orchestration when failures or tasks are unrelated across subsystems, files, or components. Dispatching parallel agents is ideal when investigations can proceed concurrently without cross-domain interference, requiring clear task scope and expected-output formats.

The best way to handle independent problems is dispatching one agent per problem domain. By crafting precise instructions and isolated contexts, agents stay focused and succeed, preventing cross-domain interference while enabling efficient review and integration of results.

To merge results from parallel agents, define an expected-output format beforehand. Each agent investigates its domain independently, and you synthesize the collected results by reviewing the structured outputs and integrating them into your main session context.

Yes, you need to define explicit constraints for each agent in parallel dispatch. Clear task scope and constraints ensure agents stay focused within their isolated contexts, preventing cross-domain interference and enabling successful independent problem resolution.

Yes, you can use parallel agents to investigate unrelated failures across different files. Dispatching one agent per independent problem domain allows concurrent investigation of failures across subsystems, files, or components without cross-domain interference.