parallel-execution

You can coordinate parallel tasks using non-blocking patterns that launch work items into a background queue, monitor their progress concurrently, and synchronize results only when needed without halting the main execution flow.

A non-blocking task interface allows concurrent work items to be launched into a background queue and monitored for progress without pausing the main execution thread, enabling synchronized waits only when final results are required.

Independence checks verify that work items have no overlapping data or file conflicts before concurrent execution, ensuring parallel tasks can run safely from the queue without interfering with each other's resources.

Yes, max concurrency control enforces configurable limits on the number of parallel tasks running simultaneously from the queue, preventing system resource saturation while maintaining optimal throughput.

Queue-based coordination in L3 autonomy mode orchestrates parallel execution by pulling independent work items from the queue, applying configurable max_parallel limits, and providing clear status updates throughout the concurrent workflow.

You should avoid parallel execution when independence checks fail, meaning work items share data or file dependencies that could cause conflicts, or when concurrent tasks would exceed your system's available resources despite max concurrency controls.