What DevOps Taught Me About AI Governance

Short summary

Platform engineers instinctively govern infrastructure through blast-radius thinking, auditability, and measurement—but these instincts are largely absent from AI tool adoption. GitHub Copilot gets pilot approval while GitOps required six months of architecture review. The author argues that AI-generated code is production code and should receive equivalent governance: scope controls, audit trails, and delivery metrics.

• •DevOps governance instincts (blast radius, auditability, measurement) don't transfer to AI tools despite proven track record
• •Organizations adopt AI coding assistants in weeks; they took months to approve equivalent infrastructure changes like GitOps
• •Solution: treat AI-generated code as production code with scope controls, audit trails, and delivery metrics

Generated with AI, which can make mistakes.