In other words, immature engineers are too inflexible about their taste. They know what they like, but they mistake that liking for a principled engineering position

Why is it that we craft our work so AI can understand but we do not do so for people?

It’s like we have an expectation people should put forth the effort to understand, but AI has hard limitations, so we have to take extra steps for AI but can be lazy for others.

But what they cannot do is maintain clear mental models.

LLMs get endlessly confused: they assume the code they wrote actually works; when test fail, they are left guessing as to whether to fix the code or the tests; and when it gets frustrating, they just delete the whole lot and start over.

This is exactly the opposite of what I am looking for.

gov.uk’s guidance on testing with assistive tech, what to use