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Series
A series of 12 AI+DevOps tools built with Python and Ollama — all running locally, zero cloud costs, zero API fees. Each project combines a core DevOps tool with local AI to solve real engineering problems.
The Problem with Trivy Output Running Trivy gives you a wall of CVE numbers. Most developers copy-paste them into Google and spend 20 minutes figuring out if each one actually matters for their use ca
The Problem AWS Cost Explorer shows you data. It doesn't tell you what to do about it. I was paying $127/month and knew I was wasting money but couldn't quickly identify where. What the AI Found Runn
Why I Built This K8s error messages are designed for cluster operators, not for the developer who just shipped a feature and now has a pod stuck in CrashLoopBackOff at 11pm. kubectl get pods tells you
The Idea Every time I needed a new AWS resource, I'd spend 20 minutes reading Terraform docs just to get the syntax right for something I'd done before. I wanted to type plain English and get working
The Problem GitHub Actions failure logs are noisy. Finding the actual error in 500 lines of output takes time you don't have during an incident. You get a red X, click through multiple pages, scroll p
Why I Built This Every DevOps engineer has had the 2am moment. Something is broken. You don't know what. You SSH in, check logs, Google the error, open five tabs, still nothing clear. Thirty minutes l