AI in DevOps: What Works and What Doesn't

A year-long experiment with AI tools in DevOps found that AI-generated Terraform code and pipeline optimizers added complexity without efficiency gains. Successful tools like AI-written changelogs and CodeRabbit reduced cognitive load by integrating into existing workflows. The key lesson: AI should augment, not replace, human decision-making in high-precision tasks.