ai-project-director-backend-runnable-and-evidence

To generate AI Director tasks using readonly repository evidence, you must enforce workspace boundaries and execution preconditions. This ensures backend runnables meet product path standards and tasks are composed strictly from verified repository data.

A backend runnable baseline is a standard ensuring backend runnables are startable, checkable, reproducible, and safe. It prevents task generation from skipping required product paths during long-running execution threads.

You prevent long threads from skipping backend runnable paths by applying evidence-driven task composition. This governs execution preconditions and requires readonly repository evidence to validate the backend runnable baseline.

Yes, backend task generation requires workspace boundaries and execution preconditions to govern runnables properly. These constraints ensure that generated tasks are supported by readonly repository evidence and meet product path standards.

Use evidence-driven task composition for backend runnables after completing backend executor evidence closeout. It is needed when you must ensure backend processes remain startable, checkable, reproducible, and safe against product path standards.

Governing backend runnables without readonly evidence limits your ability to guarantee they are reproducible and safe. It risks allowing long execution threads to skip required product path standards during AI task generation.