My College Professors Be Like...

Let's be honest, "algorithm" is just a fancy word we use to sound smart in meetings. What we're really talking about is that spaghetti code Dave wrote at 2am after his sixth energy drink. Next time your product manager complains about "the algorithm" showing users the wrong content, just say "Oh, you mean that if-else nightmare Brad cobbled together during sprint planning while simultaneously attending three other Zoom calls?" Much more accurate.

The pinnacle of software engineering: a digital clock implementation that would make computer science professors weep. This masterpiece features arrays with missing values, commented out time libraries (because who needs those?), nested loops that would make Dante add another circle to hell, and the iconic comment "//fuck i++" which perfectly captures the developer's spiritual journey. Yet somehow, against all laws of programming and human decency, the output shows a working clock counting from 11:56 to 00:02. It's the coding equivalent of building a rocket with duct tape and prayers—and watching it actually reach orbit.

Junior dev: *screaming in agony* "WE MUST CREATE AN ENTIRELY NEW FILE FORMAT FROM SCRATCH BECAUSE EFFICIENCY!!!" Senior dev: *calmly sips coffee* "Zipped XML. Next problem?" The evolution of problem-solving in tech is brutal. At some point you realize reinventing the wheel isn't impressive—it's just a waste of sprint points. The beard of wisdom knows that existing solutions usually work just fine, while the passionate newbie wants to build a nuclear-powered unicycle.

The four stages of training an AI model, as experienced by every data scientist who's ever lived: First panel: Innocent optimism. "Training time!" Oh, you sweet summer child. Second panel: Desperate pleading. "C'MON LEARN FASTER" while staring at that pathetic learning curve that's flatter than the Earth according to conspiracy theorists. Third panel: The error messages. Just endless red text that might as well be hieroglyphics. *SIGH* indeed. Fourth panel: Complete surrender. "3, 6, 2!!!" *shoots model* "I'LL GO GET THE NEXT ONE." Because nothing says machine learning like throwing away hours of work and starting from scratch for the fifth time today. The real joke is that we keep doing this voluntarily. For money. And sometimes fun?

Tech interviews in a nutshell. Interviewer wants you to implement a sorting algorithm from scratch, probably expecting some elegant quicksort or merge sort with O(n log n) complexity. Meanwhile, you just use the built-in sort method that every sane developer would use in real life. The interviewer's face says it all – horrified that you'd dare use a practical solution instead of reinventing the wheel to prove you memorized algorithms from 1962. Pro tip: The built-in sort is optimized by people smarter than both of you. But good luck explaining that during the awkward silence that follows.

OH. MY. GOD. This is the most SAVAGE database joke I've ever witnessed! 💀 A FULL OUTER JOIN literally returns ALL rows from BOTH tables, matching them where possible but keeping the unmatched ones too! Just like these two books - "What They Teach You at Harvard Business School" and "What They DON'T Teach You at Harvard Business School" - which together contain THE ENTIRE UNIVERSE OF KNOWLEDGE! I am DECEASED! The database nerds are absolutely HOWLING right now while everyone else is left wondering why we're cackling over SQL joins! This is the kind of humor that separates the database architects from the mere mortals!