To be honest I don't see the majority of developers interested into Category Theory. We have to hand it on a silver plate by solving some problems to show it is useful. It doesn't sound pragmatic enough for people to even start looking at it.

One way I'm thinking is to extract "patterns" automatically from their code. Then, it enables to write code review, give advises, pointers, find pattern duplication, common ground vocabulary... I'm sure structuring automatically the code from CT point of view can be helpful.

Disclaimer: Few years ago, I felt in love with theory category and more precisely the sketches (from Ehresmann). I linked Machine Learning and Category Theory [1] by automatically mapping data structure and algorithm definitions together (input/output and operations between) in order to be able to run any algorithm on any set of data. Then I introduced an heuristic based on Kolmogorov complexity to find the best model (algorithm output) to summarize the input data. Loved it !

[1] https://link.springer.com/content/pdf/10.1007/978-3-540-7497...