What problem does it solve? It automates disciplined story implementation by guiding an AI developer through a structured workflow that finds ready stories, writes failing tests first, implements code, validates against acceptance criteria, and updates sprint status without skipping steps. ## Core Features & Use Cases - Sprint Story Discovery: Automatically finds the next story marked ready-for-dev in sprint-status.yaml or accepts an explicit story file path. - Test-Driven Implementation: Enforces a red-green-refactor cycle per task, runs regression suites, and blocks completion until all validation gates pass. - Review Continuation: Detects prior code review findings, prioritizes unresolved review follow-up tasks, and marks them resolved in both task and review sections. - Use Case: A developer says "dev this story" and the workflow loads the story spec, implements every task with tests, updates the File List and Change Log, and marks the story ready for review. ## Quick Start Tell the AI to dev the next ready story in the sprint plan or provide a specific story file path to implement.