dispatching-parallel-agents

To execute independent tasks in parallel, you can dispatch specialized agents to investigate and resolve each issue simultaneously without shared state or sequential dependencies, significantly reducing total resolution time.

Managing concurrent execution for unrelated failures is best handled by dispatching specialized agents with isolated contexts and clear goals to investigate and resolve each independent issue in parallel.

You dispatch an agent by assigning a specific task, such as 'Investigate the root cause of the API timeout errors,' to a specialized agent designed to focus entirely on that single domain.

You should use parallel task management for error resolution when you face multiple independent issues that can be executed concurrently without shared state, allowing simultaneous investigation and faster integration of fixes.

The main limitation of dispatching parallel agents is that tasks must be completely independent; this approach does not work for tasks with sequential dependencies or shared state that require coordinated, sequential execution.