I am speaking of my experience, and I am an enthusiast for new things. I used the Jupyter Notebook before it was mainstream, or, say, PyTorch, in times when it

I am speaking of my experience, and I am an enthusiast for new things. I used the Jupyter Notebook before it was mainstream, or, say, PyTorch, in times when it was obvious that TensorFlow was the default option. However, in general, I believe that any approach that works is good. And I don't think there is any reason to think that we need to settle with the current data science programming UIs. However, some went with mixed success, e.g. ObservableHQ never took over Jupiter. In my view, PyCharm and VS Code are not that close to each other. PyCharm is a traditional IDE, while VS Code is more like an ecosystem of extensions. In particular, there is one (surprisingly good) for Jupyter Notebooks. When developing any new way of interacting with code, there is a question of which ecosystem to use. Having it as a VS Code extension (or clone) has benefits and limitations. So is having it as a Jupyter extension or (the way you went) - clone. If you want to talk more, happy to move it to emails.