[rodelrod]

This is only (theoretically) true in the sense that if you build the perfect abstraction, you should not have to think too often about it.

Building good abstractions requires: 1. skill that is in relative terms rare in the profession; 2. enough experience with the problem domain that the abstraction provides the perfect balance between ease-of-use and flexibility as the context changes; 3. a dedicated individual or a small team who nurtures and gatekeeps the evolution of the abstraction obsessively.

For the other 99% of real world cases, the best you can do is try your best to build decent, not-too-leaky abstractions for the problem as you face it today, and the underlying code better be readable because you'll need to maintain it constantly, as will all kinds of other people in varying states of cluelessness.