Use of an AI to write your code is also a form of dependency. When the LLM spits out code and you just dump it in your project with limited vetting, that's not really that different from vendoring a dependency. It has a different set of risks, but it still has risks.
Not including the unused features both makes the code you are adding easier to read and understand, but it also may be more efficient for your specific use case, since you don't have to take into account all the other possible use cases you don't care about.
In decent ecosystems there should be low or zero overhead to that.
> Not including the unused features both makes the code you are adding easier to read and understand, but it also may be more efficient for your specific use case, since you don't have to take into account all the other possible use cases you don't care about.
Maybe. I find generic code is often easier to read than specialised custom implementations, because there is necessarily a proper separation of concerns in the generic version.