One thing that should not be automated is the choice of resampling method. The code templates require the user to choose the rsample function that is appropriate.
Why shouldn't resampling be automated?
I think, Do I need to adjust the ratio depending on the amount of data, because it will have a negative impact on the generalization performance?
Additional question.
Is it possible that tuning automation will appear in the future for functions for sampling as well?
Will there be a package like tune?
Shouldn't that theoretically be automated too?
The sampling you want to do will depend on what kind of data you have and the task at hand you are trying to accomplish. Assuming you want to estimate predictive performance and go with cross-validation, you still need to decide which type of cross-validation you want to do.