https://news.ycombinator.com/newsguidelines.html#generated

I wonder how much of this comes from the agent picking up code quality of the project as it explores files snd works out the actions it’s taking.

Together with its inherent training becoming an average of the world. In a world where average isn’t good enough.

Or rather. Good code quality is an uphill battle you need to fight for every time you look around in the code base, to prevent the world leaking in, and the better the quality gets the more good code will the agent have in its context when it generates new code.

And once LLM companies start charging more money than they spend, the “we’ll just have Claude maintain the code” types and vibe coding crowd could either be stuck with extremely heavy subscription fees, or a totally unmanageable code base.

https://news.ycombinator.com/newsguidelines.html#generated

I’ve got a coworker that is pretty heavy AI users, and not in a “guide it” type of way more of a “yolo” type of way. Reading his MR are insane. There is so much crazy indirection and weird wrappers that make the types work but ignore an obvious simplification.

Code works fine, but why use lots of code when little of code will do?

This isn’t strictly an AI problem, there are definitely human engineers who gold plate. At least with AI it doesn’t slow down velocity.