Are you using it only on massive codebases? It's much better with smaller codebases where it can put most of the code in context.

Another good use case is to use it for knowledge searching within a codebase. I find that to be incredibly useful without much context "engineering"

It's also good on massive codebases that include a lot of "good practices" examples.

Let's say you want to add a new functionality, for example plug to the shared user service, that already exist in another service in the same monorepo, the AI will be really good at identifying an example and applying it to your service.