Spec-driven development enhances AI data engineering

AI coding agents accelerate data engineering but can amplify fragmentation in complex enterprise systems. Vibe coding, relying on temporary prompts, scatters operational context, hindering long-term system evolution and visibility. Spec-driven development (SDD) addresses this by converting prompts and business logic into executable, versioned specifications that form the system's persistent memory. These specifications act as operational contracts, guiding AI agents and humans to build and evolve data platforms more consistently across teams and releases. SDD integrates business context, validation, and workflows directly into the system, improving traceability and reducing fragmentation in AI-generated data platforms.