Then use better software engineering paradigms in how your AI builds projects.

I find the more I specify about all the stuff I thought was hilariously pedantic hyper-analysis when I was in school, the less I have to interpret.

If you use test-driven, well-encapsulated object oriented programming in an idiomatic form for your language/framework, all you really end up needing to review is "are these tests really testing everything they should."