What kind of codebases do you work on if you don't mind me asking?

I've found a huge boost from using AI to deal with APIs (databases, k8s, aws, ...) but less so on large codebases that needed conceptual improvements. But at worst, i'm getting more than 10% benefit, just cause the AI's can read files so quickly and answer questions and propose reasonable ideas.

How are you quantifying that 10% ?