Interesting. I use emacs for hacking Python but I've never heard of this tool. Do you actually use this for software development or is it more of a data-science-type exploration tool?
I use Org for software development whenever I can, which is currently everyday.
Usually, new code starts in cells with some Org-managed context (e.g. a Jupyter kernel in a remote container with some DB/service access). This is done using the :session code cell keyword, which works per subtree. Managing remote sessions like this generally keeps me away from terminals.
Surrounding the cell are various mini-dashboards with useful docs / links / commands for that part of the project. Since Org supports embedding elisp and shell commands in clickable links [1], these mini-dashboards can be made very quickly.
Org lets me edit the code using the proper Emacs mode for its language, while pulling dynamic completion / docs from the Jupyter kernel. Just like Jupyter notebooks, I can view rich outputs from the cells in-line. I can then name the outputs and make them inputs to other cells, including ones in different languages / kernels. AFAIK that's an Org-only trick.
Most code eventually finds it's way to normal source files (see Org's "tangle" feature). This feels more natural than moving code from notebooks since, again, the cell editing mode is the same as the one for source files.
Org's tree-manipulation capabilities + support for multiple sessions means that (so far) I've only ever needed 1 Org file per project. I track this in git, which is simple since Org is just plain-text. To share with non-Org users, I usually export to ipynb [2] or, for static docs, HTML [3].
