Pylint is different because it’s working against a necessarily dynamic wavefront that it has to keep parity with as it advances. All python changes, ecosystem adaptations, etc - and maintaining that with an AI harness in CI would never work. It would require a concerted effort and thought along the way.
So it’s sort of a different beast all together. In fact I think this is a great demonstration of using AI to resurrect technology built for X to work with Y, where X is dead and Y is current. Automating this feels like a net positive and because the original software is “finished” there isn’t decision making and strategy required.
"Who will maintain this?" appears to be "Me with an agent". And it's great.