A Small Comic Of My Recent Blunder

A Small Comic Of My Recent Blunder
So you're trying to be a good developer and use type hints in Python. You even ask ChatGPT for help because, hey, why not? It shows you this beautiful dataclass example with Dict[str, int] as a type hint for your stats field. Looks professional, looks clean, you copy it. Then you actually try to use it and Python just stares at you like "what the hell is this?" Because—plot twist—you can't use Dict from the typing module as the actual type for field(default_factory=dict) . That needs a real dict , not a type hint. The type hint is just for show—it doesn't actually create the object. It's like ordering a picture of a burger and wondering why you're still hungry. Type hints are documentation, not implementation. ChatGPT casually forgot to mention that tiny detail, and now you're debugging why your "correct" code is throwing errors. Classic AI confidence meets Python's pedantic reality.

Overflow X Hidden

Overflow X Hidden
Got a tiny horizontal scroll bar ruining your perfectly aligned layout? Just slap overflow-x: hidden on it and call it a day. Problem solved, right? Wrong. Sure, the scroll bar disappears, but so does half your content when users resize their browser. That dropdown menu you spent 3 hours positioning? Gone. The mobile nav that slides in from the side? Clipped into oblivion. But hey, at least there's no horizontal scroll anymore. The !important flag really seals the deal here—because why fix the root cause when you can just nuke it from orbit and make it impossible for anyone else to override later? Future you will definitely thank present you for this one. This is the CSS equivalent of duct taping your check engine light instead of taking your car to a mechanic.

Accurate

Accurate
The perfect relationship doesn't exi— wait, hold on. That green bar showing all 22307 tests passing with zero errors and zero warnings? That's the programming equivalent of finding true love. The tweet format perfectly captures that rare, beautiful moment when your entire test suite runs clean and your code compiles without a single complaint. No deprecation warnings, no flaky tests, no "this might be a problem later" yellow flags. Just pure, unadulterated success. The juxtaposition of the cynical tweet about relationships with the pristine test output is *chef's kiss* because honestly, getting a clean test run is way more satisfying than most human interactions anyway.

Rate My Setup

Rate My Setup
Someone really looked at their Apple Watch and thought "You know what? This 1.5-inch screen is PERFECT for my 8-hour coding sessions." Because nothing says peak productivity like squinting at VS Code on a display smaller than a postage stamp, frantically trying to debug with your pinky finger while your IDE crashes from sheer confusion. The watch is literally begging you to open a folder—ANY folder—just to justify its existence as a development machine. Next up: deploying to production from a smart fridge. The future is now, and it's absolutely ridiculous.

Ignorance Is Bliss

Ignorance Is Bliss
Junior devs just slapping public int x; everywhere and living their best life. Then someone introduces them to encapsulation and suddenly they're writing getters and setters like they just discovered fire. The fancy suit represents that false sense of sophistication you get from following OOP principles—until you realize you've written 20 lines of boilerplate just to access a single integer. You're now "professionally" doing what you used to do in one line, and deep down you're questioning every life choice that led you here. Sometimes the simple solution was fine. But now you're in too deep to go back. Welcome to enterprise development, where we make everything unnecessarily complicated and call it "best practices."

Camel Case

Camel Case
Your laptop just transformed into a portable space heater because you dared to run npm install . The sheer AUDACITY of Node.js deciding that your computer needs to download half the internet just to display "Hello World" is truly a spectacle. Watch in horror as your CPU fan screams for mercy while installing 47,000 dependencies for a simple date formatting library. Your thighs are getting medium-rare, your battery is crying, and somewhere in the distance, a polar ice cap just melted. But hey, at least you got that left-pad package!

Special Relativity

Special Relativity
Einstein figured out that time moves slower when you're traveling near the speed of light. Turns out he forgot to tell the universe about deltaTime . The person on Earth barely ages while our astronaut friend turns into a grandparent on their high-speed joyride. Classic time dilation, except instead of physics equations, we're just missing that one crucial variable in our game loop. You know, the thing that keeps your animations smooth regardless of frame rate? Pretty sure the universe is running on someone's first Unity project where they hardcoded everything to frame count instead of actual elapsed time. No wonder everything's breaking at relativistic speeds. Should've read the docs, God.

Y 2026 Swag Approaching

Y 2026 Swag Approaching
Remember when 4GB of RAM was considered luxury? Then 8GB became the standard, and now we're at that beautiful inflection point where 16GB is becoming the new baseline. This meme captures that gossip-worthy moment when someone casually drops that they've got 16 gigs of memory. By 2026, having 16GB RAM will be as unremarkable as having opposable thumbs. Chrome tabs will still eat it all for breakfast, Electron apps will continue their RAM-hogging traditions, and Docker containers will party like it's unlimited memory. But right now? Right now it's still flex-worthy enough to whisper about. The real kicker is that by the time 16GB becomes truly standard, we'll all be whispering about 32GB like it's some kind of sorcery. Moore's Law might be slowing down, but RAM requirements? Those are accelerating faster than a memory leak in production.

Trial And Error Expert

Trial And Error Expert
Lawyers study case law. Doctors study anatomy. Programmers? We just keep copy-pasting Stack Overflow answers until the compiler stops screaming at us. No formal education needed—just a search bar, desperation, and the willingness to pretend we understand what we're doing. The best part is when you Google the same error five times and somehow the sixth time it magically works. That's not debugging, that's voodoo with syntax highlighting.

Situation, That Is Happened To Me Rn

Situation, That Is Happened To Me Rn
You're out here debugging your game's collision detection, zooming in with your metaphorical telescope trying to figure out why bullets are phasing through enemies like they're ghosts. Is it the hitbox? The timing? The physics engine being moody? Meanwhile, the actual problem is sitting right under your nose: enemy collision on a second layer. Classic game dev moment where you're investigating quantum mechanics when the issue is just that your enemies are literally on a different Z-layer and can't interact with anything. It's like trying to figure out why your keys are missing when they're in your other pocket the whole time.

How Many Unplayed Games Do You Guys Have?

How Many Unplayed Games Do You Guys Have?
Steam Winter Sale hits different when you're a developer. You already spend 12 hours a day staring at code, debugging someone else's spaghetti, and arguing with CI/CD pipelines. The last thing you want to do is boot up a game that requires... more thinking. So instead, you buy 47 games at 80% off because "it's a good deal" and "I'll definitely play this when I have time." Spoiler: you won't. That backlog just keeps growing while you convince yourself that buying more games is somehow different from hoarding. It's not. The real game is watching your library percentage drop from 15% to 4% played and pretending that's fine. That's the endgame content right there.

AI Economy In A Nutshell

AI Economy In A Nutshell
So you pitch your AI startup to VCs: "We're disrupting the industry with revolutionary machine learning!" They respond: "Cool, here's $50 million in funding to build it." Meanwhile, your actual tech stack is just OpenAI's API with some fancy CSS on top. The entire AI economy is basically investors throwing money at founders who then immediately hand it over to OpenAI, Anthropic, or Google for API credits. It's a beautiful circular economy where the only guaranteed winners are the companies actually training the models. The rest of us are just expensive middleware with pitch decks.