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> so less skilled coders just take the output of whatever the LLM spits and assume it's correct, later it turns out there is a bug. The person who submitted the code doesn't understand the code, because they didn't bother learning it just that it was mostly correct. Instead of discovering and fixing the source of the error they just go in and discover where the error is output and slap some more AI generated code over it to squash the bug.

Ever worked with offshored programmers (won't name country or companies)? The things I've seen. Getting code via email that doesn't compile. Then seeing they replied-all, cc'd some random employee not on the project and 2-3 managers about "getting the urgent fix". Having a teenager with a 3 months bootcamp, an AI and a few post-it with git commands would actually be an improvement over this.

> The issue is that the biggest thing AI brings is it allows you to generate lots of code, very fast. So we have more and more code, that is less and less understood by any human being.

I know guys whose whole contracting careers is re-writing (completely from scratch) huge codebase that were offshored. 10x reduction in line count is pretty much standard. I guess these AIs means their business model will keep working for the next decade!