July 27, 2026 at 12:00 am
Comments posted to this topic are about the item Make It Routine
July 28, 2026 at 12:10 am
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July 28, 2026 at 10:26 am
Part of the road to AI adoption is learning what you need to do to build trust in it and which bits you can trust. There are a lot of people out there claiming to be AI experts. I'm mindful of the time and effort it takes to become an expert, and I'm sceptical, especially when AI can produce some nasty surprises for people who ARE experts.
Some bits I'm still not comfortable with. The idea of allowing it to resize databases and remove logs is a prime example. Allowing it to build stuff is one thing. Allowing it to demolish something is a bridge too far at the moment.
There are some setup tasks I do once in a blue moon. I meant to write them down, but as blue moon tasks, I hadn't done so and always end up regretting it.
Without AI, these actions would probably have stayed in my list of eternal regrets, but with AI, what I've done is use it for the following:-
At this stage, I don't want AI to do everything. I want enough involvement, so I keep learning. A well-written script, commented to educate the person running it, is a good teaching tool.
July 28, 2026 at 4:41 pm
resizing a db or removing/changing logs is interesting.
In general, we wouldn't want a human to do this directly, right? I'd want this run through a pipeline for a PR review and/or an approval. I'd think an AI could do the same thing. Submit changes into a process. An AI isn't really a computer process, it's a proxy for a human, so if we don't trust humans to do things without oversight (and we should less than we do), we shouldn't trust an LLM.
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