I've experimented with using LLM to setup and/or maintain some servers for me for various different use cases (this being one). What I like is an agentic LLM can either document it's initial build process or "explore" your server to better understand how it works, what configuration files are used, software versions installed, etc. When you have that documentation/context provided to a frontier LLM it can take care of most maintenance work you'd like do by hand for "simple" servers. A good prompt to get an llm to explore an existing server to make sure it fully understands it is to ask it to make a working backup.
I’ve done the same, and in the process learned some things. Which is amazing! But it’s easy and tempting to do minimal learning and accept the working shell script or whatever. The better the AI gets, the more tempting that is.
