From YAML to AI agents: building smarter DevOps pipelines with MCP

DevOps teams have spent years turning manual work into YAML.

That helped. CI runs on every pull request. Deployments can be triggered from a commit. Kubernetes can reconcile desired state. Terraform can plan infrastructure before it changes anything.

But a lot of DevOps work still sits outside the pipeline:

reading failed CI logs