Live data from Hacker News

Measuring the sloppiness of code

earendil.com

11–20 of 247 posts

Re: Measuring the sloppiness of code

#15

There is some sense of rose-tinted glasses of pre-LLM coding. A lot of human written code, particularly at the enterprise level, was of low quality well before AI automated it.

Indeed. And not fair comparisons ”look at the quality of this small one-shot Claude hobby project. The quality is less than this major open source project written by some of the best developers in the world”

Re: Measuring the sloppiness of code

#16
It will be solved when there is no more code left to write.

Code is an abstract concept that is not bound to the physical world and I imagine that future will have some much more of it that it is difficult to comprehend. Everything will be code and more code will be written than ever before.

Code will never going to be solved. The question is how much humans will be involved and I think the evidence is that perhaps just a bit. However, because we are talking about vast libraries of code even if we are involved in under 1% of all code and decision making that is needed around the code, there are still not enough developers out there to take on the task.

I might be wrong :)

Re: Measuring the sloppiness of code

#17
post #6

Well... Coding was never the most part of work I spent time.

Congrats on your promotion to full time jira management!

very glib comment.

thinking about how to accurately describe the problem at hand and figuring out the simplest way to approach it takes a lot of effort well before you get to the implementation step of coding.

Re: Measuring the sloppiness of code

#19
Coding is not solved, correctness is not a feature, it is the bare minimum. If your code does not do what it is supposed to do, you could as well have no code at all. Efficiency, security, maintainability, reliability, readability, understandability, extensibility, maintainability, observability, portability, ... this is what high quality coding is about, not that it works, that is a given. And in my experience current models are pretty bad at this.

Re: Measuring the sloppiness of code

#20

There is some sense of rose-tinted glasses of pre-LLM coding. A lot of human written code, particularly at the enterprise level, was of low quality well before AI automated it.

This was always due to pressures by management and the company environment, not the workers themselves. It's hard to blame the people writing code when they have to deal with nontechnical leadership that wants to have a feature factory or never given appropriate resources to solve problems.

Blaming workers is always an excuse by poor management.

Post reply on HN