AI Didn't Replace My DevOps Workflow. It Shortened the Path to a Hypothesis.
How an alert, ten browser tabs, and a Slack ping actually get resolved when AI is in the loop — and where I still don't trust it. An alert fires. I open Grafana. Then CloudWatch. Then the logs. Then kubectl describe on the pod that's misbehaving. Then GitHub, to see what merged. Then Argo CD, to see what actually rolled out. Ten tabs in, trying to hold six timelines in my head at once, someone drops into the channel: Do we know what happened yet? That moment is the real job. Not the syntax. Not remembering the exact kubectl flag. The job is correlating scattered signals fast enough to form a hypothesis worth testing. That's the part where AI has changed how I work. It didn't take the troubleshooting away from me. I'm still doing all of it. It just shortened the gap between "something is wrong" and "this is probably where I should look." I don't use AI as a replacement for understanding Kubernetes, AWS, Terraform, Linux, networking, databases, or CI/CD. I use it as another tool in the workflow, one that helps me get from a problem to a testable hypothesis faster. My AI usage today broadly splits across three areas: ChatGPT — communication, research, reasoning, and technical analysis Claude and Claude Code — coding, Kubernetes, scripts, configurations, and troubleshooting AWS DevOps Agent — AWS infrastructure investigation, resource analysis, troubleshooting, and optimization Each tool has a slightly different role. The part that actually matters isn't having access to AI. It's knowing where it's useful, what context to give it, and when its output needs to be challenged. None of them makes a production decision for me. One habit before I get into the tools: I'm careful about what I paste into any of them. Config with real hostnames, account IDs, or anything secret-shaped stays out. ChatGPT: the part of DevOps nobody warns you about People underestimate how much of this job is communication. I'll finish a technical investigation and then have to explain it — to a deve