🤖 AI Summary
A developer has introduced Requirement-Driven Development (RDD), a structured workflow designed to enhance the coding capabilities of AI tools like Claude Code. By addressing the common pitfalls of AI-assisted programming—such as losing track of project status, forgetting requirements, and failing to manage tasks effectively—RDD provides a project management layer essential for building complex applications efficiently. The developer successfully demonstrated RDD's effectiveness by creating a comprehensive e-commerce MVP, complete with user authentication, product management, and an admin panel, in just five prompts.
RDD emphasizes a research-first approach, establishing traceable requirements with clear acceptance criteria before any coding begins. It incorporates a systematic task flow, quality gates for testing, and a memory layer that documents lessons learned, ensuring that context is preserved even after interruptions. This significantly improves productivity and reduces the need for re-explanation, enabling smoother collaboration between developers and AI. With features like velocity tracking and rollback for error documentation, RDD positions itself as a groundbreaking tool in the AI/ML community, providing a practical solution to the challenges of AI-driven development.
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