I like to take an information theoretic, model-problem fit stance on simplicity. It's useful to reason about it in terms of overfitting vs underfitting, over-a

I like to take an information theoretic, model-problem fit stance on simplicity. It's useful to reason about it in terms of overfitting vs underfitting, over-abstraction vs under-abstraction, high resolution fit vs low resoltion fit, and in terms of cross entropy between the knowledge embedded into a software system and the information relevant to solve the corner cases of the problems (https://medium.com/@b.essiambre/product-market-crossfit-c09b019188f3?source=friends_link&sk=5a57eddd18dd948ebb512afb40a21667 https://medium.com/@b.essiambre/product-market-crossfit-c09b...). Well tuned knowledge is not an easy thing.