Someone exactly said it better here[0] already.

[0]. https://news.ycombinator.com/item?id=47817982

To be fair, I've had the extreme misfortune of working on Odoo code and I can understand why an LLM would struggle.

Yearly breaking changes but impossible to know what version any example code you find is related to (except that if you're on the latest version, it's definitely not for your version), closed and locked down forum (after several months of being a paying customer, I couldn't even post a reply, let alone ask a question), weird split between open and closed, weird OWL frontend framework that seems to be a bad clone of an old React version, etc. etc. Painful all around. I would call this kind of codebase pre-LLM slop, accreted over many years of bad engineering decisions.

a semester ago i was taking a machine learning exam in uni and the exam tasked us with creating a neural network using only numerical libraries (no pytorch ecc). I'm sure that there are a huge lot of examples looking all the same, but given that we were just students without a lot of prior experience we probably deviated from what it had in its training data, with more naive or weird solutions. Asking gemini 3 to refactor things or in very narrow things to help was ok, but it was quite bad at getting the general context, and spotting bugs, so much that a few times it was easier to grab the book and get the original formula right

otoh, we spotted a wrong formula regarding learning rate on wikipedia and it is now correct :) without gemini and just our intuition of "mhh this formula doesn't seem right", that definitely inflated our ego