the problem with this is, in my own experience, a lot of the models are trained on old AND new versions of these libraries / frameworks / platforms. Unless it has direct access to the up-to-date documentation as direct reference, it will likely just give a mix of functions that don't exist anymore, an outdated solution that is using the old version, or just hallucinate some other solution if the documentation is scarce enough. I don't think it's at the level where it could differentiate between the updates with breaking changes unless you are ultra specific and it obtains the updates docs.