dispatching-parallel-agents

Running parallel tasks concurrently requires decomposing a complex workflow into independent subtasks, constructing focused agent prompts with explicit constraints, and executing multiple agents simultaneously to accelerate overall completion.

Task decomposition is the process of breaking a complex task into independent subtasks that operate on different files or codebase sections without data dependencies, enabling multiple agents to execute concurrently and safely integrate results.

Preventing file modification conflicts when dispatching multiple agents requires enforcing strict rules for task independence verification and constructing agent prompts with explicit scope boundaries before concurrent execution begins.

You should avoid using parallel agents when subtasks have data dependencies, share overlapping file modifications, or require sequential execution to maintain codebase integrity and ensure safe result integration.

Updating API route handlers, tests, and documentation concurrently is possible by dispatching independent agents to separate codebase sections, allowing simultaneous execution as long as tasks have no data dependencies.

Dispatching parallel agents does not work for tasks modifying the same codebase sections, because strict task independence verification mandates that subtasks operate on distinct files without data dependencies to prevent interference.