The article explores the transition from 'Vibe Coding'—a loose, experimental approach to AI-assisted programming—to SDD (Specification-Driven Development), a more structured methodology. It argues that as AI coding tools like Claude Code and Cursor become ubiquitous, teams need engineering rigor to ensure code quality and maintainability. The piece likely covers practical steps for adopting SDD, including specification writing, test generation, and iterative refinement with AI. For overseas developers and tech leads, this signals a maturation of the AI coding landscape, moving from hype to production-ready practices. The commercial value is high as companies seek to integrate AI efficiently without sacrificing reliability.
This article discusses the shift from informal 'Vibe Coding' to more disciplined SDD (Specification-Driven Development) in AI-assisted programming. It provides insights into how engineering teams can evolve their workflows for better reliability and scalability. This matters as AI coding tools become mainstream, requiring structured methodologies.