computer science Memes

Object Oriented Programming Is An Exceptionally Bad Idea Which Could Only Have Originated In California

Object Oriented Programming Is An Exceptionally Bad Idea Which Could Only Have Originated In California
Edsger Dijkstra, the legendary computer scientist who gave us shortest path algorithms and structured programming, wasn't exactly known for holding back his opinions. The man literally wrote essays with titles like "Go To Statement Considered Harmful" – subtlety wasn't his thing. Here he's taking a flamethrower to OOP while simultaneously roasting California in one elegant sentence. The California dig is chef's kiss – implying that only the land of tech startups, venture capital, and questionable wellness trends could birth something as "misguided" as object-oriented programming. Dijkstra preferred mathematical elegance and formal methods. To him, OOP was like watching someone solve a calculus problem with crayons. The functional programming crowd still quotes this like scripture whenever someone mentions inheritance hierarchies or the Singleton pattern. Plot twist: OOP went on to dominate the industry for decades. Sometimes even legendary computer scientists can't predict what'll stick. But hey, at least we got a sick burn out of it.

It Wasn't Easy

It Wasn't Easy
Four years of algorithms, data structures, operating systems, and theoretical computer science just to create... the most basic login form known to humanity. Two input fields and a button. Congratulations, you've basically recreated what a bootcamp grad does in week one. The brutal irony here is that university teaches you how to build compilers and implement red-black trees, but somehow you still end up Googling "how to center a div" when it's time to build actual UI. That CS degree really prepared you to... copy a login template from Bootstrap. But hey, at least you understand the Big O notation of your authentication algorithm, right? That's gotta count for something when you're storing passwords in plaintext because security wasn't covered until senior year.

Floating Point Arithmetic

Floating Point Arithmetic
ChatGPT confidently declares that 9.11 - 9.9 = 0.21, which is technically correct... if you're doing math in a universe where computers don't exist. But then someone says "use python" and suddenly we get -0.79 because floating-point arithmetic said "let me introduce myself." The real kicker? ChatGPT then explains the floating-point precision issue like a professor who just realized they wrote the wrong answer on the board but needs to save face. "Small precision errors" is putting it mildly when your subtraction is off by a whole sign and an order of magnitude. This is why we can't have nice things like accurate financial calculations without using Decimal libraries. Binary fractions gonna binary fraction. 🤷

Either Experience Means Anything Or It Does Not

Either Experience Means Anything Or It Does Not
Recruiters really out here asking senior devs with a decade of battle scars to explain red-black trees they memorized for their CS degree and promptly yeeted into the void. Like, sure Karen, let me just recall the implementation details of a skip list I learned in 2012 while I've been shipping production code using hashmaps and arrays for the past 10 years. The job posting says "5+ years experience building scalable web applications" but the interview is basically a computer science trivia night where you lose points for Googling. Pick a lane: either my years of actually solving real problems matter, or we're all just pretending experience is code for "can recite Knuth from memory."

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Haute Complexity

Haute Complexity
Naomi Osaka showed up to the Met Gala wearing the CLRS algorithms textbook as high fashion, and honestly? She's not wrong. The dress perfectly mirrors the cover of Cormen, Leiserson, Rivest, and Stein's legendary tome—those abstract red geometric shapes that have haunted CS students since 1990. The irony is beautiful: a book that represents pure logical complexity transformed into artistic complexity. Both are intimidating, both make you question your life choices, and both somehow manage to be elegant despite causing existential dread. The red shapes on her outfit? That's basically what your brain looks like trying to understand dynamic programming at 2 AM before the final. Fashion meets O(n log n), and I'm here for it. If only studying algorithms could be this glamorous instead of crying over balanced tree rotations in a dimly lit library.

Correct Logic, Wrong Situation

Correct Logic, Wrong Situation
So you've mastered binary search with O(log n) efficiency and think you can apply it everywhere? Cool, but maybe don't use it to guess someone's age in real life. Starting at 50, then jumping to 25 based on their reaction is technically optimal for narrowing down the search space... but also a fantastic way to ensure you're sleeping on the couch tonight. Sure, you'll find the answer in fewer guesses than linear search, but at what cost? Your relationship? Your dignity? Sometimes the most efficient algorithm isn't the most socially acceptable one. Just because you can optimize something doesn't mean you should . Save the divide-and-conquer for your code, not your dating life.

Got Me Thinking

Got Me Thinking
So apparently half the best devs have CS degrees, but all the worst devs also have CS degrees. The math here is doing something interesting. The follow-up clarifies the real insight: the terrible engineers only got jobs because they had the degree, which is basically saying a CS degree is both useless and mandatory at the same time. It's the perfect encapsulation of the industry's hiring paradox. The degree doesn't make you good, but it does make you employed. Meanwhile, self-taught devs are out here writing production code that actually works while being told they need a piece of paper that cost $100k to prove they know what a linked list is. The real kicker? The worst devs got hired *because* of the degree, suggesting HR departments have been using CS degrees as a very expensive coin flip.

Got Me Thinking

Got Me Thinking
So here's the uncomfortable truth bomb: having a CS degree is neither necessary nor sufficient for being a good developer. About half of the talented devs out there learned by actually building stuff instead of memorizing Big O notation for exams they'll never use. Meanwhile, every terrible developer somehow has that fancy degree because—plot twist—they passed tests but never learned to, you know, actually code. The follow-up reply is even spicier: the only reason we know these awful engineers exist is because they managed to interview well enough to land jobs. Turns out a degree is great at opening doors, just not at making you competent once you're inside. It's like having a driver's license but still parking like you're playing GTA. The real skill? Learning to code despite your education, not because of it.

...And The Two Hard Problems

...And The Two Hard Problems
The famous Phil Karlton quote gets the Harry Potter treatment it deserves. "There are only two hard problems in computer science: cache invalidation and naming things" – but throw in "off by one errors" and you've got the holy trinity of developer suffering. Voldemort showing up as "I AM LORD VOLDEMORT" is chef's kiss because naming things is literally his entire villain origin story. The Deathly Hallows symbols representing the three problems? Brilliant. Because just like those magical artifacts, these problems will haunt you until the end of your career. Cache invalidation will make you question reality itself. Naming things will have you staring at a variable for 20 minutes. And off-by-one errors? They're why your loop always misses that last element or mysteriously crashes with an index out of bounds. The Elder Wand couldn't fix these even if it tried.

Heyy, You Guys Like My High School Graduation Cap?

Heyy, You Guys Like My High School Graduation Cap?
Kid literally made a graduation cap out of RAM sticks. You know what? I respect the commitment to the bit. Most students decorate their caps with glitter and inspirational quotes, but this absolute legend went "nah, I'm gonna need at least 128GB of memory to remember this day." The dedication to actually source that many RAM sticks and glue them together is honestly impressive. Though I gotta say, in today's market, that cap probably costs more than the degree itself. Hope they didn't use DDR5 because that's basically a down payment on a house at this point. Also, fun fact: with that much RAM on your head, you could theoretically run Chrome with like... 6 tabs open. Maybe 7 if you're feeling adventurous.

Valid Question

Valid Question
Mozilla announces their new non-binary mascot "Kit" who uses they/them pronouns, complete with adorable artwork of the Firefox logo looking all lovey-dovey at itself. Then someone drops the most brutally logical question: "How the fuck is it supposed to run if it's non-binary?" Because, you know, computers literally operate on binary. Ones and zeros. The entire foundation of computing. Every single process, every pixel, every mascot announcement tweet—all running on good old-fashioned binary code. The irony is absolutely chef's kiss. It's like announcing your vegan mascot is made of beef. The joke writes itself: a browser that processes millions of binary operations per second has a mascot that identifies as non-binary. The philosophical implications are giving my CPU an existential crisis.

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Sad Life

Sad Life
Binary search is O(log n) - lightning fast, efficient, elegant. Your life? That's an unsorted array, buddy. Can't binary search chaos. The brutal truth hits different when you realize you've spent years optimizing algorithms but your own existence is still running at O(n²) complexity. You can't just divide and conquer your problems when they're scattered randomly across your mental heap with no index in sight. Maybe try a linear search through your feelings first. Or just bubble sort your priorities until something floats to the top. No guarantees though.