Who is responsible when the AI wrote the code?
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As vibe coding and AI-generated applications proliferate, governance and compliance teams face a structural accountability gap: code produced from natural language prompts often lacks functional specifications, documented decision rationale, audit trails, access controls, and behavioral test coverage. Drawing parallels to the MLOps era, the post argues that 'agentic engineering' — a structured methodology requiring spec-first design, traceable development records (the Ralph loop), layered testing, cross-model validation, and human oversight checkpoints — is what makes AI-generated applications governable in regulated industries. A practical pre-production checklist and AI accountability framework are provided for risk, compliance, and legal teams evaluating whether an AI-generated app is ready for production.
