It's much much worse in the Cybersecurity field. I wanted to share the anecdote here, too, because it's kind of fitting. Somehow, in cyber, everyone believes t

It's much much worse in the Cybersecurity field. I wanted to share the anecdote here, too, because it's kind of fitting. Somehow, in cyber, everyone believes that transformers will generate better answers than not to use the 10 most common passwords. It's like the whole knowledge about decision making theory, neural nets, GANs, LSTMs etc completely got wiped out and forgotten within less than 10 years. I understand the awesomeness of LLMs while debugging and forensics (they are a really good rubberduck!), but apart from that they're pretty much useless because after two prompts they will keep forgetting if/elseif/else conditions, and to check those boundaries is the mission of the unlucky person that has to merge that slopcode later. I don't understand how we got from TDD and test case based engineering to this bullshit. It's like everyone in power was the wrong person to be in that position in the first place, and that statistically no lead engineers ever will be a C-staff or SVP or whatever corporate manager level. While the AI bubble is bursting, I will continue to develop with TDD practices to test my code. Which, in return, has the benefit of being able to use LLMs to create nice templates as a reasonable starting point.