> The code they [LLMs] produce is often fine. It works. It passes tests. It might ship as-is. I don't disagree, but I've been thinking about this a bit: a lot of _human_ written code was/is less-than-fine. And a lot of human devs didn't understand the context when they wrote it. I'm not advocating that we fire devs, or evangelizing that LLms are awesome. But I do wish there was a slightly more honest take on the pre-…
I don't think anyone truly disputes this, but I don't think it's a good argument.
If we already had a sort of poor quality output when humans were at the helm, then what can we expect from AI steered by the sort of humans that produced poor quality code?
My guess would be even more poor quality code, at much higher volumes than before. It is impossible for me to see this as an improvement over "some people always made poor quality code"