htmlgraph:execute

You can parallelize development tasks by executing a wave-based plan using Git worktrees, where each task runs in an isolated worktree managed by concurrent AI agents. This approach enforces quality gates and handles merges between stages.

Wave-based execution organizes development tasks into concurrent groups, ensuring dependencies are met before moving to the next stage. Each wave runs tasks in parallel across isolated Git worktrees, followed by automated quality checks.

Git worktrees isolate each concurrent development task by providing a separate working directory for every AI agent. This ensures clean task execution and enables automated merging strategies without branch conflicts.

Yes, SDK integration is required to track progress and manage task states during parallelized execution. The SDK monitors wave-based execution, coordinates agent collaboration, and enforces automated quality gates.

Yes, automated quality gates integrate code quality checks and tests after each execution wave. This ensures that concurrent tasks meet quality standards before proceeding to the next dependency stage.

Parallel agent execution requires careful dependency management across waves and SDK integration for state tracking. Complex merge strategies may be needed when concurrent tasks modify interdependent code sections within the same release plan.