[bpavuk]

previously, mugging through docs to turn them into serializables for some API took weeks of grueling work if you wanted to cover an entire API surface that's as big as, say, GitHub's. nowadays, just "copy Markdown" from the very same GitHub, put 10-12 data classes, and let LLM extrapolate from there. with Gemini's 65.5k max token output, that is just several prompts and about two hours. that's the boilerplate. there is practically no way to automate this unless GitHub adopts OpenAPI spec in a way that's not buggy, so that we can just hit an endpoint and point procedural source generators at them

[embedding-shape]

> that's the boilerplate

Sounds like you're trying to just re-implement a HTTP API, not really boilerplate.

Boilerplate is code you could have avoided written, but you take the "temporary" shortcut of copy-pasting the code instead of building a proper abstraction. This is what I'm talking about is the wrong direction.