description

This approach is suitable for building or iterating various AI-assisted products, minimum viable products (MVPs), ambient programming applications, deployment-ready products, prototypes, or functional modules, from initial conception to official launch. It follows a six-step closed-loop process: requirements definition, content generation, bug fixing, performance verification, version release, and collection of real user feedback. The core concept is that while AI can generate code, product development still relies on clear goals, short iteration cycles, performance validation, deployment, and real user data support.