I’m perusing around GitHub, and they are exposing a “contributing” page that links to good first issues, contributing guides, and they claim it also uses machine learning to customize content. Here is an example for one of our repos:
and the article:
This is pretty neat, it’s the first attempt at an integration driven by ML, they report to use the Argo framework, and
We also plan to add a mechanism for maintainers and triagers to approve or remove ML-based recommendations in their repositories. Finally, we plan on extending issue recommendations to offer personalized suggestions on next issues to tackle for anyone who has already made contributions to a project.
It’s pretty neat because something like this promises the customize the experience based on previous GitHub experience, possibly making it easier for new contributors, or just more fun!