[jordanbeiber]

Using AI doesn’t really change the fact that keeping ones and zeroes in check is like trying to keep quicksand in your hands and shape it.

Shaping of a codebase is the name of the game - this has always been, and still, is difficult. Build something, add to it, refactor, abstraction doesn’t sit right, refactor, semantics change, refactor, etc, etc.

I’m surprised at how so few seem to get this. Working enterprise code, many codebases 10-20 years old could just as well have been produced by LLMs.

We’ve never been good at paying debt and you kind of need a bit of OCD to keep a code base in check. LLM exacerbates a lack of continuous moulding as iterations can be massive and quick.

[egeozcan]

I was part of a big software development team once and that necessity I felt there, namely, being able to let go of the small details and focusing on the big picture is even more important when using llms.