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Yeah I was actually thinking that we may see API maintainers publish a lot more sample code with lots of different scenarios for AI to train on.

Similar to how JavaScript libs publish a Typescript type def file for people using Typescript.

Even better (or worse), tell your AI/LLM to output sample uses of the project to be training data for other AI/LLM. Probably ends up being a knowledge transfer protocol.

Seeding gpt (or using copilot) on snippets of your code is extremely effective. I often paste a function of my codebase before asking code questions, as in: “here is an example of a product class, generate the swagger spec for a user crud api” and it will infer how and even what kind of fields our user class has, without having seen it.