What happens when you give an LLM "hands" to touch your infrastructure? Usually, chaos. But at KernelCore AI, we decided to build it the Senior Dev way. I’ve just finished building a Self-Correction SysAdmin Harness that doesn't just "chat" about your servers—it audits them, debugs them, and codes its own tools in real-time. 🧠 The Architecture: Reasoning meets Sandboxing We combined Ollama (running qwen2.5-coder:14b) with a custom Python Harness and Docker. Intention: I ask a question (e.g., "Why is the system slow?"). Synthesis: The AI reasons and writes a bespoke Python script to investigate. The Sandbox: The Harness spins up an ephemeral, isolated Docker container 🐳. Observation: The script runs, the container dies, and the results are fed back to the AI's "brain." Final Report: The AI analyzes the real-world data and gives me a technical briefing. Enter fullscreen mode Exit fullscreen mode 🛡️ Why Docker? (Zero Trust AI) We aren't letting an AI run rm -rf / on my host!…