LLMs in DevOps: Why They Work Best as a "Very Fast Junior Engineer"

I was staring at roughly 10,000 lines of network rules spread across a live cloud environment. Two environments, dev and prod, two regions each, all handled by their own separate configuration files. The task was to cross-check what had already been imported into Terraform and what hadn't, and then split the rules correctly across all those files. That kind of task could easily take weeks to do carefully by hand. With an LLM doing the heavy lifting, I was done in three hours. That was the moment the mental model clicked for me. And yes, these were network security rules. But here is the thing: in a Terraform import workflow, the tooling itself is the safety net. The goal is a 1:1 match between your IaC and the actual state of the environment. If the AI-generated configuration has any drift from reality, Terraform tells you immediately when you run the import. You are not trusting the AI blindly, you are using it to do the repetitive work and then letting Terraform verify the result. Th