LLMs produce code faster than humans are able to check it. Today's systems are able to generate thousands of lines of code per day, no human team would be able to keep up with them. The problem, in my opinion, is the way LLMs are used. An LLM reasons and makes mistakes according to the logic it was created with, but different LLMs reason and make mistakes in different ways. I'll give an example: take 2 black boxes, each one with 2 inputs and 1 output. Inside, the boxes work in a different way: with the same inputs the outputs are different. The real key is to use the method of adversarial development: this reduces to a minimum (even if it doesn't eliminate completely) the possibility of errors. So to humans the task of checking the output, and to have quality output you need to spend, and a lot, at least 2 frontier LLMs. But the question is: is quality as a goal an expense or an investment?