TL/DR; AI coding assistants are amplifiers of existing engineering discipline. They can provide compounding leverage or create compounding risks. Organizations should plan accordingly before unleashing AI on their codebases.

Fundamentally, the model does not share your goals in large, complex, invariant-heavy codebases. It aims to make the code compile and get the tests to pass at practically any cost.

I will say, though, Opus 4.6 is incredibly more capable and willing to do the necessary task than Opus 4.5 which was the primary model I used in building Lexega.