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Comment by Aachen | Hacker News Reader

I'm not saying you can't be happy with autogenerated software, especially for something like a dictation app where the main functionality amounts to a language selector (or calling into a detector) and calling TTSlibary.render(String text).play(). You could also just use an existing TTS app, but whatever works for you

For more complex software, so far it has been my experience that you get more predictable behavior (fewer edge-cases), performance, and relevant (but, to be fair, less comprehensive) documentation when someone thought about and built it

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For software that became popular, sure. Have you spent a lot of time looking at horribly written unpopular software that far outpaces the popular ones in quantity, not quality?

I fully agree that a well-written human application can be far better organized and documented. But I’m not talking about the top 10% that most people interact with and focus on, but rather the bottom 90% that get far fewer eyes and are way more poorly written, regardless of perceived complexity.

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’m glad we're on the same page then :)

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.

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