As AI coding tools like Cursor, Claude Code, and GitHub Copilot become mainstream, developers face a new dilemma: should they rely on free-form 'vibe coding' or stick to structured specification-driven development (SDD)? This article from a Chinese developer blog explores the tension between these two approaches. The author argues that while vibe coding accelerates prototyping and reduces friction, it often leads to code that lacks maintainability and alignment with business requirements. Conversely, SDD ensures clarity and traceability but can slow down iteration. The key insight is that neither approach is superior in isolation; the best results come from combining them. For example, using SDD for high-level architecture and critical business logic, while leveraging vibe coding for boilerplate and exploratory features. This hybrid model is especially relevant for teams adopting AI-assisted development at scale. The article provides practical advice on how to implement this balance, including using natural language specs as prompts and maintaining a feedback loop between generated code and specifications. For overseas developers and tech leads, this debate mirrors similar discussions in the global AI engineering community and offers actionable strategies for improving both productivity and code quality.
This article discusses the clash between two AI programming paradigms: SDD (Specification-Driven Development) and Vibe Coding (free-form AI code generation). It argues that while AI tools boost productivity, combining structured specs with flexible coding yields the best results for real-world projects.