[austinjp]

Sounds good, although it would have to be context aware. For example, code that often gets removed in a production environment might be dissimilar to choose that is typically removed in dev or testing.

There are also other triggers of code removal and refactoring that are outside the code base, such as an organisation migrating to a different platform. An AI trained on a large public commit history could encourage a general shift towards already-established big players, punishing smaller organisations.