It's been more than 3 years since we started, and the metrics are stable, slight improvement even but that could be more experience or better models or anything. No apocalypse.
Tja
joined 2 years ago
Points per sprint, features shipped, test coverage. Defects remain unchanged.
I mean, I do leet code semi-regularly, so I'm not too worried about getting rusty. Writing tests is boring as hell, the AI does a decent enough job for at least 90% of them.
Yeah, I understand that, but I kind of enjoy some lively discussions. Plus I want to avoid creating my own echo chamber.
I very much enjoy using AI for all the biloilerplate, test cases, suggestions, etc. It really makes me more productive, hard metrics behind it. Nobody is forcing me to, they just provide the license and let us use our judgment.
I honestly can't think of a project where 0% AI would be better. For 100% maybe a very trivial PoC, but even that would require at least a code revision.
So, as with many things, use in moderation is fine.
I don't recognize anyone, I don't focus on who says stuff but what is said. I ignore the user and the instance (like ignoring ads on websites) and read the content. Only when it's uncanny pro Russia I check if it's an ml user. I never block or tag, too much work.
Doesn't stackoverflow do that? Or some other popular website... Slashdot?
Same here. And the same for reddit, I was surprised when I learned reddit had avatars. I'm surprised that lemmy has them, too.
That ship has sailed. The question is how to use AI to code, for every project there's a sweet spot and it rarely is 0% or 100%.
Welcome to the internet.
Nah, it's just wrong. Like, "you don't even speak you native language correctly" wrong.
The ethics are debatable, but there's not turning back, there's plenty of open source models even that do a very decent job, so we will need to learn to deal with the reality. We never hired juniors anyway, but companies that did apparently have stopped, that can't be good.