Hah, that's a unique argument. I haven't before been quizzed on how much time I spend with unpopular software. Do you have a minute? xD I think I use more unpopular software than 99% of the world population. Besides that it's part of my job to security test what are usually internal applications (every ~two weeks a new one), I also use basically only software from F-Droid and the Debian repositories, pulling only the apps from the Play Store from (semi) governments where it's unpractical to get by without them. Besides that, a lot of what I use is self-written, with number of users at most a few hundred, biasing heavily towards one. Yes, I'm familiar with hobby coding projects thank you very much :D
> I’m not talking about the top 10% that most people interact with and focus on
I have all the time in the world for interesting topics of debate. I’ve equally reviewed quite a lot of poorly written tools, libraries, and APIs in the search for far less mainstream solutions to complex problems; guess our conclusions on what quality we found differ, which is the human experience.
Like I said, I’m not claiming AI outperforms in quality in all cases; it can be just as bad as human code can be. I just disagree with the idea that “human written” is a proxy for “quality code” in my experience.
Human written is not a proxy of good code. But human written and published on a hosting platform (with the additional artifacts like docs, build system, tests) are generally good. While LLM may generate all of these, but they are slop.
> I’m not talking about the top 10% that most people interact with and focus on
I’m glad we're on the same page then :)