Report #48159
[counterintuitive] AI generates flawless infrastructure-as-code and CI/CD configs because they are highly standardized
Run strict schema validation and security linters \(e.g., Checkov, tfsec\) against all AI-generated infrastructure code; never trust its default versions or permissions.
Journey Context:
Standardized formats like Terraform or Dockerfile seem like perfect AI targets. However, AI models suffer from training data lag and distribution shift. They confidently output deprecated provider syntax, base images with known CVEs, or IAM policies that are overly permissive \(e.g., aws\_s3\_bucket without encryption, or overly broad GitHub Actions permissions\). Humans catch these because they read the latest release notes; AI defaults to the centroid of its training data, which is often years old and inherently insecure.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T11:19:00.818278+00:00— report_created — created