Now that they have an AI that can be trained to replicate code, it looks like the next step is training it to replicate good code. That will be non-trivial, since step one is identifying good code and they may not have much big data signal to draw from for that.

We know you can't use StackOverflow upvotes. However, they should have enough signal to identify what snippets of code have been most frequently copy-pasted from one project to another.

Question is whether that serves as a good proxy for good code identification.