Depends, what to you would qualify as evidence?

Something quantitative and not "company with insane vested interest/hype blogger said so".

If you have to ask, you can't afford it.

If I may ask, does the code produced by LLM follow best practices or patterns? What mental model do you use to understand or comprehend your codebase?

Please know that I am asking as I am curious and do not intend to be disrespectful.

And what’s the name of the company? I’m fixing to harvest some bug bounties.

Think of the LLM as a slightly lossy compression algorithm fed by various pattern classifiers that weight and bin inputs and outputs.

The user of the LLM provides a new input, which might or might not closely match the existing smudged together inputs to produce an output that's in the same general pattern as the outputs which would be expected among the training dataset.

We aren't anywhere near general intelligence yet.

Ignoring your last line, which is poorly defined, this view contradicts observable reality. It can’t explain an LLM’s ability to diagnose bugs in code it hasn’t seen before, exhibit a functional understanding of code it hasn’t seen before, explain what it’s seeing and doing to a human user, etc.

Functionally, on many suitably scoped tasks in areas like coding and mathematics, LLMs are already superintelligent relative to most humans - which may be part of why you’re having difficulty recognizing that.

I get your sentiment but a lot of people on this forum forget that a lot of us are just working for the paycheck - I don't owe my company anything.

Do I know the code base like the back of my hand? Nope. Can I confidently talk to how certain functions work? Not a chance.

Can I deploy what the business wants? Yep. Can I throw error logs into LLMs and work out the cause of issues? Mostly.

I get some of you may want to go above and beyond for your company and truly create something beautiful but then guess what - That codebase is theirs. They aren't your family. Get paid and move on

Do you work as a consultant then? I've been with the same employer for a long time, so if my team creates a mess, I get to look at it daily.

> It's so much faster.

A lot of things are "so much faster" than the right thing. "Vibe traffic safety laws" are much faster than ones that increase actual traffic safety: http://propublica.org/article/trump-artificial-intelligence-... . You, your team, and colleagues are producing shiny trash at unbelievable velocity. Is that valuable?

I mean, people who use LLMs to crank out code are cranking it out by the millions of lines. Even if you have never seen it used toward a net positive result, you have to admit there is a LOT of it.

If all code is eventually tech debt, that sounds like a massive problem.