Comment by jph00

That's fair! I guess since it's a new thing that doesn't quite neatly fit in a category, we were perhaps too shy about trying to define it. Also, we really want to focus on the methodology, rather than the platform. But yes, you're right we should explain the platform too. :) I'll have a go here, and will then go and add it to Johno's article.

So basically, you can think of the platform as combining all these: ChatGPT; Jupyter Notebook + nbdev; Bits of vscode/cursor (we embed the same Monaco editor and add similar optional AI and non-AI autocompletion); a VPS (you get your own persistent full VPS running Linux with a URL you can share for public running applications); Claude Code (all the same tools are available); a persistent terminal.

Then there's some bits added that don't exist elsewhere AFAIK: something like MCP, but way simpler, where any Python function can be instantly used as an AI tool; the ability to refer directly to any live Python variable in AI context (but optional, so it doesn't eat up your context window); full metaprogramming of the environment (you can through code or AI tools modify the environment itself or the dialog); context editing (you can -- and should -- directly edit AI responses instead of tell the AI it's wrong); collaborative notebook coding (multiple people can edit the dialog, run code, etc, and all see live updates).

The combination of these things is rather different (and IMO better!) than the sum of its parts, but hopefully this helps a bit?