parallel-exec

Running tasks in parallel saves time by dispatching multiple sub-agents concurrently for independent tasks that do not share file dependencies, significantly reducing overall project timelines.

Parallel workflow automation handles environment isolation by ensuring each sub-agent operates in its own isolated environment, preventing state conflicts during concurrent execution of multiple independent tasks.

Yes, you can use parallel execution to update an API and UI components simultaneously by assigning one sub-agent to the API changes and another to the UI changes, running both concurrently.

Managing merge conflicts when parallel tasks modify the same files requires conflict resolution mechanisms that detect and manage file collisions during concurrent execution, ensuring proper synchronization of parallel workflows.

You should avoid concurrent execution for multi-component feature development when tasks share file dependencies, as parallel workflows require independent tasks to prevent state conflicts and ensure proper isolation.

Yes, parallel execution supports batch operations on distinct datasets by coordinating the concurrent execution of multiple sub-agents, optimizing execution time through isolated environments and resource allocation.