It does look at the code at a meta level, in particular if the kind of change in the PR has previously been objected to or corrected afterwards. It creates perceptual hashes out of the code changes which are used as categorical variables that go in the neural net.

Deriving features about the code contributions is probably the most challenging aspect of the project so far.