nice work! what level of type inference do you do on unannotated code?

it's that django does metaprogramming that cannot be expressed in terms of python's static type annotations. you need dedicated plugins that essentially replicate that metaprogramming to generate the relevant types.

it's not just django btw, pretty much any metaprogramming library needs that sort of custom support, including dataclasses - take a look at any python type checker and you will find code specifically replicating what dataclasses does in terms of code generation. for pytype we actually put dataclass and namedtuple support alongside our other third-party plugins in the codebase.

at the very least, enshittification is a company policy and gemini is a specific product.

man, that brings back memories - very early in my career I tried to use postgres as a task queue, thinking that with O(hundreds) of jobs it wasn't worth setting up something like rabbitmq. sadly I knew pretty much nothing about db design and the performance was horrible, ended up ripping it out and installing rabbitmq after all (and having a whole new set of headaches with random rabbit admin issues but at least when it worked it was fast)

for sure, which is why I appreciate them all the more when I encounter them! I wish more of the industry operated that way.