I think the underlying cause of this
overabstraction is largely a result of abstraction being excessively glorified (mostly) by academics and formal CS curricula. In some ways, it's similar to the OOP overuse that has thankfully decreased somewhat recently but was extremely prevalent throughout the 90s. In software engineering, we're constantly subjected to messages like: Abstraction is good. Abstraction is powerful. Abstraction is the way to solve problems. More abstraction is better. Even in the famously acclaimed SICP lecture series [1] there is this quote:
"So in that sense computer science is like an abstract form of engineering. It's the kind of engineering where you ignore the constraints that are imposed by reality."
There is an implication that we should be building more complex software just because we can, since that is somehow "better". Efficiency is only thought of in strictly algorithmic terms, constants are ignored, and we're almost taught that thinking about efficiency should be discouraged unless absolutely necessary because it's "premature optimisation". The (rapidly coming to an end) exponential growth of hardware power made this attitude acceptable, and lower-level knowledge of hardware (or just simple things like binary/bit fields) is undervalued "because we have these layers of abstraction" - often leading to adding another layer on top just to reinvent things that could be easily accomplished at a lower level.
The fact that many of those in the demoscene who produce amazing results yet have never formally studied computer science leads me to believe that there's a certain amount of indoctrination happening, and I think to reverse this there will need to be some very massive changes within CS education. Demoscene is all about creative, pragmatic ways to solve problems by making the most of available resources, and that often leads to very simple and elegant solutions, which is something that should definitely be encouraged more in mainstream software engineering. Instead the latter seem more interested in building large, absurdly complex, baroque architectures to solve simple problems.
Maybe the "every byte and clock cycle counts" attitude might not be ideal either for all problems, but not thinking at all about the amount of resources really needed to do something is worse.
> how much layers is too much layers?
Any more than is strictly necessary to perform the given task.
[1] http://www.youtube.com/watch?v=2Op3QLzMgSY#t=10m28s