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HTTP 418: I'm a teapot

The server identifies as a teapot now and is on a tea break, brb

HTTP 418: I'm a teapot

The server identifies as a teapot now and is on a tea break, brb

Trending Memes

More engaging than a 4-hour architecture planning meeting

Binary Search My Life

Algorithms Programming
15 hours ago 201.4K views 1 shares
Binary Search My Life
Binary search requires O(log n) time complexity, but only if your array is sorted first. Otherwise you're just randomly guessing in the middle of chaos. Kind of like trying to find the exact moment your life went off the rails by checking your mid-twenties, then your teens, then... wait, it's all unsorted? Always has been. The brutal honesty here is that you can't efficiently debug your life decisions when they're scattered across time in no particular order. You need that sweet O(log n) efficiency, but instead you're stuck with O(n) linear search through every regret. Sort yourself out first, then we'll talk algorithms.

Look At This Junk!

Programming Debugging
15 hours ago 194.9K views 1 shares
Look At This Junk!
You know that feeling when you revisit your old code and suddenly wonder if you were drunk, sleep-deprived, or just fundamentally broken as a human being? Two months is that perfect sweet spot where the code is old enough to be incomprehensible, but recent enough that you can't blame a different version of yourself. The horror sets in when you realize there are no comments, variable names like x2 and temp_final_ACTUAL , and a function that's somehow 400 lines long. You start questioning your career choices, your education, and whether that CS degree was worth anything at all. The real kicker? It works perfectly in production. You're terrified to touch it because you have absolutely no idea how or why it functions. It's like archaeological code—best left buried and undisturbed.

What Do I Need The Include Lines For

C++ Programming Debugging
14 hours ago 218.6K views 0 shares
What Do I Need The Include Lines For
Someone just discovered the secret to writing memory-safe C code: free your memory before you allocate it. Galaxy brain move right there. The cherry on top? They included assert.h like they're about to write production-quality code with proper error handling, but then immediately went full chaos mode with free(&malloc()) . That's like putting on a seatbelt before driving off a cliff. Pro tip: Those include statements are actually the only correct part of this code. Everything after line 5 is a war crime against computing.

Operator Overloading Is Fun

C++ Programming Java
16 hours ago 205.4K views 0 shares
Operator Overloading Is Fun
Someone wants to overload the == operator for value comparison instead of reference comparison. Java, being Java, has a complete meltdown because that would be "abuse." Meanwhile, C++ just shrugs and says "go ahead" when asked about overloading the & operator to nuke an object's internal data. Java protects you from yourself by refusing operator overloading entirely. C++ hands you a loaded footgun and a blindfold, then walks away whistling. One language thinks you're a child who can't be trusted with scissors. The other assumes you're a responsible adult who definitely won't use operator overloading to create cursed abominations that make code reviewers weep. Spoiler: C++ is wrong about you being responsible.

Advanced Debugging

Debugging Programming
20 hours ago 204.0K views 0 shares
Advanced Debugging
Oh, the AUDACITY of suggesting we use proper debugging tools! Listen, we didn't spend years learning to code just to actually *use* the IDE's built-in features like some kind of responsible professional. The bell curve doesn't lie, honey – the true geniuses are out here spamming console.log() and print() statements like it's 1999, living their best chaotic lives. Meanwhile, the "intellectuals" in the middle are having a full meltdown trying to set up breakpoints and configure watchlists like they're diffusing a bomb. Both ends of the spectrum have figured out the ultimate truth: why spend 5 minutes learning the debugger when you can spend 5 hours adding print statements everywhere? It's called *efficiency*, sweaty.

What An Odd Choice

Programming Algorithms Backend
19 hours ago 201.1K views 0 shares
What An Odd Choice
Tell me you don't understand computer science without telling me you don't understand computer science. Some tech journalist really looked at 256 and thought "wow, what a random, quirky number!" Meanwhile every programmer within a 50-mile radius just felt their eye twitch. For those blissfully unaware: 256 is 2^8, which means it's literally THE most natural limit in computing. It's the number of values you can represent with a single byte (0-255, or 1-256 if you're counting from 1 like a normal human). WhatsApp's engineers didn't sit in a room throwing darts at numbers—they picked the most obvious, efficient, byte-aligned limit possible. The real tragedy? Someone got paid to write that article while having zero clue about binary numbers. Meanwhile, we're all debugging segfaults for free.

Justified

Testing Agile Programming Debugging
16 hours ago 194.8K views 0 shares
Justified
Ah yes, the ancient art of waterboarding someone for suggesting best practices. Your team watches in silent approval as you're stretched on the rack for daring to propose that maybe, just maybe , spending a sprint on documentation and unit tests could prevent the production fires that happen every other Tuesday. The irony? Six months later when the codebase is an undocumented dumpster fire and nobody knows what anything does, they'll be asking "why didn't we write tests?" while you're still recovering from the torture chamber. But sure, let's ship that feature with zero coverage and comments that say "//TODO: fix this later" because technical debt is just a myth invented by people who hate fun, right? At least the medieval executioners had the decency to make it quick. Your team prefers the slow death of watching you maintain their spaghetti code alone.

Fair Enough

Programming Webdev
21 hours ago 194.8K views 0 shares
Fair Enough
You know that "5 years of experience with React" you put on your resume when React was only 3 years old? Yeah, your employer also claimed their "fast-paced startup environment" was actually a well-organized team with proper documentation and reasonable deadlines. Turns out both of you were playing the same game of professional embellishment. Now you're stuck maintaining a legacy PHP codebase that was supposedly "modern microservices architecture" while they're wondering why you can't single-handedly rebuild their entire infrastructure in a weekend. It's like a Mexican standoff of mutual disappointment, except nobody wins and everyone just silently accepts their fate. The tech industry's most honest relationship, really.

I Feel Targeted And Triggered By That Except I Would Never Buy A Mac

MacOS Apple Programming
18 hours ago 191.8K views 0 shares
I Feel Targeted And Triggered By That Except I Would Never Buy A Mac
The brutal truth about tech bros and their spending priorities hits different when it's laid out like this. You'll drop $5k on a maxed-out MacBook Pro and another grand on a Herman Miller Aeron because "ergonomics" and "productivity," then rationalize it with spreadsheets showing cost-per-hour calculations over a 10-year lifespan. But that conference T-shirt from a startup that's been dead for half a decade? That's your daily uniform. The irony is chef's kiss—we optimize our tools to perfection while our wardrobe screams "I got dressed in the dark at a hackathon." The real kicker? Posted from an iPhone. The self-awareness is there, just not strong enough to actually change anything.

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Do You Prefer Fluffy UI Over Liquid Glass?

Frontend Webdev Android Ios
12 hours ago 189.8K views 0 shares
Do You Prefer Fluffy UI Over Liquid Glass?
Someone went full arts-and-crafts mode and turned their phone into a tactile nightmare. Every UI element is literally covered in felt, fur, and what appears to be the remnants of a craft store explosion. The Gmail widget looks like it's been through a dryer cycle, the camera icon has achieved maximum fluffiness, and that Google search bar? It's basically a caterpillar now. The "fluffy UI" vs "liquid glass" debate just got physical. While Apple and Google spend millions on perfecting their glassmorphism, neumorphism, and material design languages, this person said "nah, I want my interface to feel like petting a sheep." The volume controls have individual fur coats, and the music widget looks like it's wearing a shag carpet. Props for the commitment though—every single element is meticulously crafted. This is what happens when a frontend developer discovers a hot glue gun and loses all sense of restraint. Your battery life might be fine, but your lint roller is definitely crying.

Gets Phished By It Anyways

Security
17 hours ago 189.6K views 0 shares
Gets Phished By It Anyways
Ah yes, the mandatory security training that starts with good intentions and somehow evolves into a 4-hour PowerPoint odyssey about password hygiene you learned in 2003. You're nodding along for the first 15 minutes, then suddenly you're on slide 247 about the history of phishing attacks dating back to AOL chatrooms. The real kicker? After sitting through this marathon of "don't click suspicious links" and "verify sender addresses," Karen from accounting still clicks on "URGENT: Your Amazon package needs immediate verification" from [email protected] and compromises the entire company's credentials. Security training is like that gym membership—great start, zero follow-through, and somehow you're worse off than before because now you're overconfident.

Every Data Scientist Pretending This Is Fine

Python AI Programming
21 hours ago 182.3K views 0 shares
Every Data Scientist Pretending This Is Fine
Data scientists out here mixing pandas, numpy, matplotlib, sklearn, and PyTorch like they're crafting some kind of cursed potion. Each library has its own quirks, data structures, and ways of doing things—pandas DataFrames, numpy arrays, PyTorch tensors—and you're constantly converting between them like some kind of data type translator. The forced smile says it all. Sure, everything's "compatible" and "works together," but deep down you know you're just duct-taping five different ecosystems together and praying nothing breaks when you run that training loop for the third time today. The shadow looming behind? That's the production environment waiting for you to deploy this Frankenstein's monster. Fun fact: The average data science notebook has approximately 47 different import statements and at least 3 dependency conflicts that somehow still work. Don't ask how. It just does.
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