dispatching-parallel-agents

You can execute independent tasks in parallel by dispatching them to specialized agents that operate without shared state or sequential dependencies. This approach automates task dispatch and significantly reduces overall investigation time.

Parallel task dispatch is an automated mechanism that assigns unrelated problems to isolated agents. It ensures each agent has a specific scope and clear goal, preserving the original context for coordination work.

You should use parallel execution for multiple independent failures when dealing with different test files or subsystems. This approach helps investigate and resolve unrelated issues concurrently without sequential dependencies.

Yes, parallel task dispatch requires carefully crafting agent instructions and context. Each agent must have a specific scope and clear goal to operate independently and preserve the original context for coordination.

The main limitation of dispatching parallel agents is that it only works for independent tasks without shared state or sequential dependencies. It is not suitable for tasks that require coordination or sequential execution.