I'm more than aware that my comment won't move the needle on the AI debate a slight bit, but I do think that the readership deserves some honesty and transparency there. No, not a single LLM ever has "deployed SQLite in Production", had to be on duty during the weekend, had to pop open a terminal to a misbehaving service while on family vacation, nor meaningfully suffer the anguish and stress to hotfix a botched or misconfigured deployment. Only humans have. What makes or breaks a software product, costs you your holiday, and perhaps even your job, probably won't be found in some generic piece of common knowledge rehashed and repackaged with some stylistic tweaks. It's the fine details, the one-off things, those weird edge-cases and compounded factors that in hindsights were obvious but had to be learned the hard way, and hopefully, shared by benevolent contributors.

That's the whole reason why many here put the effort to read/post articles and argue over comments: so there's something non-obvious to be learned. LLMs are effectively "knowledge averagers". They will put together a pretty article that's not worth reading, except maybe if the problem space is completely new to you. And that's the kind of disclaimer I would hope to see ahead of anything LLM-produced, and particularly on this website.