dispatching-parallel-agents

You dispatch distinct agents to independent problems, allowing concurrent work on separate test files or subsystems to maximize throughput and reduce debugging time.

It assigns one agent per problem domain, such as separate test files, to address distinct failures concurrently rather than sequentially investigating multiple independent tasks.

Assign multiple agents by giving each a clearly defined problem domain and focused prompt, dispatching them to fix unrelated root causes in separate test files simultaneously.

Use parallel agents when multiple independent failures or tasks need investigation, such as unrelated test file failures, to significantly reduce debugging and development time compared to sequential processing.

Yes, clear problem scoping and focused agent prompts are required for effective parallelization, ensuring each agent operates on a clearly defined problem domain to minimize context switching.

Parallel agents require independent problems for effective dispatch; tasks with overlapping dependencies or shared state cannot be easily parallelized without clear problem scoping and focused agent prompts.