What Is White Coding? A Smarter Take on Vibe Coding

White coding is presented as an AI-assisted software development approach in which teams first collaborate on a whiteboard to define architecture, data models, user flows, constraints, and edge cases, then convert that design into a concise specification for AI agents to implement and humans to review. Coined by Capgemini architect Iwan van der Kleijn, the term contrasts with “vibe coding,” a phrase popularized by Andrej Karpathy for prompting AI to create code with minimal direct inspection; white coding instead emphasizes planning, specification-driven generation, testing, diff review, and clear human accountability. The approach is positioned as more suitable for durable applications involving databases, sensitive data, multiple maintainers, or operational risk, while vibe coding may remain appropriate for disposable prototypes and simple experiments. The text cites reports suggesting AI-generated code can carry elevated security risks without oversight and recommends maintaining versioned specifications, centralizing security controls, validating AI-suggested dependencies, scanning for secrets, and assigning an owner to each application. It also promotes Superblocks and its Clark AI feature as a platform intended to support this workflow through governed app generation, visibility into changes, enterprise security features, and deployment options.

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