execute

Parallel task execution is orchestrated by dispatching unblocked tasks to code-writers as soon as blockers clear, scheduling background reviews, and compiling a final report. The system follows a multi-phase workflow of loading plans, creating todos, dispatching, reviewing, and committing.

Managing dependencies in parallel coding tasks is handled by enforcing hard gates and clearing blockers before dispatch. Tasks run in parallel only when their dependencies are resolved, ensuring code-review-inspector and final verification gates pass before completion.

Background code review scheduling works by triggering code-review-inspector agents after code-writers complete dispatched tasks. This automated review acts as a hard gate, preventing task completion and commits until verification passes, followed by a final report.

Yes, this approach is specifically useful for large plans with multiple tasks and dependencies where tasks can run in parallel. It coordinates code-writers, handles commits, and manages final reporting as defined by the plan's phases.

Yes, a loaded plan is required before triggering orchestration. The system uses this plan to create todos, dispatch unblocked tasks to code-writers, enforce review gates, handle commits, and compile the final report across defined phases.

Automated orchestration clears blockers dynamically, dispatching tasks in parallel immediately when ready, whereas manual dispatch introduces delays. It enforces hard gates via code-review-inspector agents, handles commits, and compiles a final report automatically.