I think most of that is about limiting artifacts (code it writes to be previewed in the Claude app) to the supported libraries etc. The trained model can answer questions about and write code in lots of other libraries, but to render correctly in artifacts there’s only a small number of available libraries. And there’ll be all sorts of ways those libraries are imported etc in the training data so it makes sense to tell it how that needs to be done in their environment.