[supern0va]

>If anything AI will be used to correct all the crappy human made code that is still being pushed due to the vanity of coders still pretending that they are better than AI at coding.

In my organization, this is already happening. We've been using LLMs to boost our test coverage without touching our human code, then use that as a scaffold to let it go through and refactor, clean up, and optimize, and then validating against both our tests and gold standard test datasets.

In our case, it's made a legacy codebase far more readable to our junior engineers, and the performance improvements (from using an autoresearch-style approach) has resulted in a six figure decrease in our compute spend for the production service we trialed this on.