Re: This is the sort of thing AI is truly good for
I suppose that's true if you're in the situation where you no longer care about what happens. I've been in that situation several times, having some small but persistent issue. It's not fun to debug, but it is annoying, and eventually, you're willing to run whatever script you find on GitHub in the hopes that, if they say this will make it go away, maybe it will make this go away. You can have the LLM accelerate the process of finding and running those.
Of course, the problem with that situation is that it often goes badly and you end up regretting it. Sometimes the script does exactly what it's supposed to, but sometimes it does something else. For example, when I was tired of manually configuring an OpenVPN box (a few other things, but the VPN was a core part of its function) and running far too many commands to add and configure each user on what was supposed to be a simple endpoint for a few friends, knowing that with this complexity of CLI-focused task, I was always going to have to do all the maintenance later on. I really wanted to have this thing not be my problem, so the first open source project promising to give me a nice Web UI, autoconfigure the endpoint, and make it manageable I installed. And for the next half an hour, I got to manually remove the many pieces of junk the installer script didn't remove when it crashed, including the many chains and rules something Docker-related dumped in my firewall config, locking out my SSH connection. That's the risk you take when you decide not to pay attention to what you're doing, and an LLM is not better at controlling for that. You can use an LLM to find things you later read, and even if it doesn't work it doesn't have a chance to cause damage, but deploy an agent to do it as the article lauds and you're playing a game of chance.