Untrue. KeePassXC has large parts of UI boilerplate code and test cases. The cryptographic routines are the smallest part. They are pretty stable and don't change much. It's also not where we would be using AI.
The statement that correctness plays no role in the training process is objectively false. It's untrue for text LLMs, even more so for code LLMs. Correct would be that the training process and the architecture of LLMs cannot guarantee correctness.
If we're wasting anyone's time, it's our own. Your comment reads like the AI would make up hundreds of invalid complaints, which is simply not true. You can see for yourself in our GitHub repository if you care.