zlacker

>>laurex+(OP)
I've pretty clearly seen the critical thinking ability of coworkers who depend on AI too much sharply decline over the past year. Instead of taking 30 seconds to break down the problem and work through assumptions, they immediately copy/paste into an LLM and spit back what it tells them.

This has lead to their abilities stalling while their output seemingly goes up. But when you look at the quality of their output, and their ability to get projects over the last 10% or make adjustments to an already completed project without breaking things, it's pretty horrendous.

>>samtp+j8
As someone who vibe codes at times (and is a professional programmer), I'm curious how yall go about resisting this? Just avoid LLMs entirely and do everything by hand? Very rigorously go over any LLM-generated code before committing?

It certainly is hard when I'm say writing unit tests to avoid the temptation to throw it into Cursor and prompt until it works.

>>jobs_t+em
I resist it by realizing that while LLM are good at things like decoding obtuse error messages, having them write too much of your code leads to a project becoming almost impossible to maintain or add to. And there are many cases where you spend more time trying to correct errors from the LLM than if you were to slow down and inspect the code yourself.

>>samtp+mv
If you don’t commit its output until it’s in a shape that is maintainable and acceptable to you— just like with any other pair programming exercise— you’ll be fine. I do think your skills will atrophy over time, though. I’m not sure what the right balance is, here.