Overengineering Memes

The code shows recursive implementations of addition and multiplication that would make any compiler burst into flames. That computer is just expressing what the CPU feels about running this code. Recursive arithmetic instead of using built-in operators? Must be what the client meant by "make it more elegant." Next sprint: implementing division by repeatedly subtracting 1.

When your CS professor asks for a simple multiplication function but you decide to use recursion and set your computer's RAM on LITERAL FIRE! 🔥 The code is basically saying "I'll add 'a' to itself 'b' times" but in the MOST DRAMATIC WAY POSSIBLE! Your poor CPU is screaming in agony while calculating 3×4 through FOUR recursive calls when a simple multiplication operator would've done the job in 0.000001 seconds! The stack trace is probably longer than my list of regrets after staying up all night debugging this monstrosity! And for what? To impress who exactly?! The computer gods are NOT amused, honey! 💅

That smug face when you implement addition using recursion instead of the + operator because regular math is for peasants. Sure, it'll crash with a stack overflow on large numbers, but that's a problem for future you after your code review. Bonus points for making the function signature look deceptively simple while hiding your algorithmic flexing inside.

OH. MY. GOD. Behold the pinnacle of software engineering! Two whole lines of code that redefine variables to... exactly what they already are! 🤦‍♀️ This "ultimate python boilerplate" is the equivalent of telling someone "water is wet" and expecting a Nobel Prize. The sheer audacity of creating a repo for this masterpiece of redundancy! And it's 26 whole bytes! Such efficiency! Such innovation! I'm absolutely DYING at how this captures the essence of those GitHub repos that promise revolutionary code but deliver the programming equivalent of a ham sandwich without the ham.