Reminds me of my general principle of the best solutions being "square" in the sense that the effort you expend on them is quite similar on any axis. By the time you're past abstraction's diminishing returns for the given problem, you're spending way more effort on that than anything else (which is understandable - it's fun!) and your efforts aren't "square" any more.

(A toy example of the 'square' thing - imagine you have to make 10,000 widgets for 1 dollar each. Making them all by hand for $1 without optimizing the process would be inefficient. So would spending $9,999 to build a machine which could make widgets for $0.0001. But spending $100 to optimize production so you can make the widgets for $0.01 each is a massive win ($200 cost vs. $10,000 for the other alternatives.)