AI code governance is the set of policies and automated checks an organization uses to make sure code written by AI coding assistants meets the same security, compliance and quality standards as code written by people. It controls what AI tools can generate, verifies their output before it ships, and records evidence for audits.
AI coding assistants write code quickly, but they don’t know your internal policies, approved versions or regulatory obligations. For infrastructure code, that risk is concrete: a generated Ansible Playbook or Terraform plan changes real systems.
AI code governance for infrastructure works in two moments:
- Directing the AI, before code is written. Policy rules are given to the AI tool as context, so it generates conforming code from the start.
- Verifying the output, before code is executed. Deterministic checks run at commit and in CI/CD and block code that breaks a rule.
Steampunk Spotter covers both moments for Ansible and Terraform. It doesn’t matter how the code was written, only whether it’s correct. AI writes it, Spotter verifies it.
To make AI coding assistants follow company policies, give them the policies as context in the editor, then gate their output with deterministic checks in CI/CD. Context improves the first draft; the gate guarantees the result.
