maestro:dispatching

Parallel task execution is achieved by orchestrating independent coding tasks across multiple agents using a plan-first workflow. The system verifies task independence, manages dependencies, and dispatches concurrent work items to optimize development throughput.

Dependency management for concurrent coding agents ensures tasks are only dispatched when their prerequisites are met. The orchestration workflow evaluates task independence and queues dependent items until their required upstream work is completed.

You should use parallel task execution when fixing several unrelated bugs or implementing distinct features simultaneously. This approach significantly speeds up development cycles by leveraging concurrent processing for non-conflicting work items.

Constructing detailed worker prompts for concurrent agent execution involves using an agent-driven workflow that verifies task independence and generates specific instructions for each parallel worker. This enables effective fan-out of non-conflicting development tasks.

Parallel task dispatching works for related features only if the tasks are verified as independent and non-conflicting. The orchestration process explicitly checks for task independence before constructing worker prompts to prevent concurrent execution conflicts.