Why You Should Never Let AI Write Terraform (And How We Built a Gatekeeper to Fix It)

AI agents are getting incredibly good at writing Infrastructure as Code (IaC). But there is a massive difference between generating valid HCL and actually executing it against production state.

Recently, the DevOps community saw a worst-case scenario: an unconstrained AI agent ran terraform destroy against the wrong state file, obliterating real infrastructure. It proved a hard truth—AI lowers the barrier to entry for Terraform, but when execution is unconstrained, it drastically increases the deployment risk.

At Deen-Labs, we wanted the speed of AI-driven infrastructure without the existential dread of a hallucinated S3 bucket wiping out production.

So, we built ShadowPlane—an open-source, Agentic CI/CD Gatekeeper that intercepts, tests, and heals AI-generated Terraform before it can merge.

The Problem: Unconstrained Execution