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Keep in mind that the rate of errors caught by AI will not be consistent. It will drop off over time.
While I'm no fan of AI, that has nothing to do with it. Adding AI to error detection suites is (mostly) fine so long as you don't remove more tradional methods like code review, manually set up unit tests, and properly reviewing each failed test instead of just letting the AI slop in a patch.
My point is that any test you add to an existing codebase is going to catch a decent number of issues at first, then over time it will drop off as pre-existing issues get resolved. Then you'll be left with the lower rate of new issues from updates.
AI isn't a silver bullet. It (sometimes) is another tool in the toolbox.
I would fully agree with that statement.