gsd-execute-phase

To execute project phases in parallel waves, you orchestrate plans by grouping them based on dependencies, spawning distributed subagents, and running them concurrently while preserving the overall phase order.

Wave-based parallelism in workflow automation is a technique that groups tasks by dependencies and executes them in concurrent waves to optimize throughput and resource usage across distributed subagents.

You control execution strategies for multi-phase plans by applying optional flags like --wave, --gaps-only, and --interactive to tailor how waves are grouped, verified, and executed.

Yes, you can run phased verifications with per-subagent isolation by orchestrating waves that maintain context budget management and preserve workflow gates across the distributed execution.

The best way to manage resource-conscious automation in software deployment is to coordinate complex phases in waves, ensuring per-subagent isolation and context budget management to optimize throughput.

You preserve workflow gates during parallel plan execution to ensure robust governance, maintain checkpoint handling, and guarantee that verification and state updates occur correctly across all waves.