Optimization Memes

Cod Be Like

3 days ago 123.8K views 0 shares

Back in the day, game devs were out here coding ENTIRE ROLLERCOASTER TYCOONS in Assembly language like absolute psychopaths, fitting shooters into 97KB (yes, KILOBYTES), and somehow making games run on potatoes while also having bodies that could bench press a small car. They were built different, both literally and figuratively. Fast forward to now and we've got AAA studios crying about how they can't fix bugs because someone's allegedly stealing breast milk (?!), shipping 50GB games that require another 50GB day-one patch, telling you to buy a NASA-grade PC just so their unoptimized mess doesn't crash every 5 minutes, and blaming YOU—the player—for their always-online singleplayer game being broken. The devolution is REAL and it's SPECTACULAR in the worst way possible. We went from "I made this masterpiece fit on a floppy disk" to "Sorry, the game is 200GB and still doesn't work, also here's $70 worth of microtransactions." The bar went from the moon straight to the Earth's core.

I've Become Everything I've Ever Hated

Hardware Gamedev Programming Debugging

5 days ago 205.4K views 0 shares

Remember when you just wanted to play games? Now you're basically a sysadmin for your own gaming rig. You used to mock those PC nerds obsessing over thermal paste and case fans while you were casually enjoying GTA San Andreas on your PS2. Fast forward to your 30s and you've got MSI Afterburner running 24/7, three monitoring apps tracking your temps, and you're genuinely excited about optimizing your RAM timings. You spend more time tweaking settings than actually playing. Your Steam library has 300 games but you're too busy stress-testing your CPU overclock to launch any of them. The programming angle? We do the same thing with our dev environments. "I'll just quickly set up my IDE" turns into a 4-hour rabbit hole of configuring linters, optimizing build times, and monitoring memory usage. The setup becomes the hobby.

Compiler Flag

C++ Programming

7 days ago 226.1K views 0 shares

Imagine a utopian future where the -o4 optimization flag actually exists. We're talking about a world where your code doesn't just run fast—it achieves sentience, solves world hunger, and probably fixes your merge conflicts too. Currently, GCC and most compilers max out at -o3 , which is already aggressive enough to make your binary unrecognizable. But -o4 ? That's the stuff of legends. Flying cars, futuristic architecture, and code that compiles without warnings on the first try. Pure fantasy.

I Guess They Let The Intern Optimize The App

Windows Microsoft Programming Debugging Backend

8 days ago 270.5K views 0 shares

I Guess They Let The Intern Optimize The App

So Discord's brilliant solution to their memory leak problem is... turning it off and on again? REVOLUTIONARY! Instead of actually fixing why their app is devouring RAM like a starving hippo at an all-you-can-eat buffet, they just implemented a hard reset when it crosses 4GB. That's not optimization, that's just automated panic mode! It's like your car engine overheating, so instead of fixing the cooling system, you just install a mechanism that automatically turns the car off every time it gets too hot. Sure, technically it prevents the engine from exploding, but you're still stranded on the highway every 20 minutes. Genius engineering right there! Someone really looked at this memory leak, shrugged, and said "Have we tried just... restarting it?" And somehow that made it to production. The absolute audacity of calling this a "failsafe" when it's literally just admitting defeat to your own memory management.

Ew Brother Ew Whats That

Programming Csharp C++ Python Java

8 days ago 262.0K views 0 shares

You know that face you make when you're doing a code review and stumble upon someone allocating memory like they're running a server farm in 1995? That visceral disgust mixed with genuine concern for humanity's future? Yeah, that's the one. The hyper-specific "0.000438 seconds" is chef's kiss because we all know that one dev who profiles everything and then acts like 438 microseconds is the reason the quarterly metrics are down. Meanwhile, there's a nested loop somewhere doing O(n³) operations on the entire user database, but sure, let's focus on this memory allocation that happens once during initialization. The nose wrinkle and raised lip combo is what happens when you see someone creating a new ArrayList inside a loop that runs a million times. Or when they're allocating a 5GB buffer "just to be safe." Brother, the garbage collector is already crying.

I Put Alot Of Effort Into My Titl

C++ Programming Python

8 days ago 281.4K views 0 shares

C++ devs really be out here benchmarking their 6000-line monstrosity against your Python one-liner and acting like they just solved world hunger. Yeah, congrats on shaving off 0.000438 seconds—that's really gonna matter when both programs finish before you can even alt-tab back to your browser. The superiority complex is strong with this one. Meanwhile, your Python script was written during a coffee break and is already in production while they're still arguing about whether to use std::vector or std::array .

I Am Built Different

React Webdev Javascript Programming Frontend

10 days ago 220.7K views 0 shares

Your body is literally optimized for survival, reproduction, and energy conservation. But here you are, a biological marvel powered by mitochondria and ATP, running a JavaScript framework that re-renders the entire DOM every time someone breathes near a state variable. The skeleton knows what's up—it's grinding those bones into dust converting JSX into browser-compatible JavaScript, then watching React's reconciliation algorithm desperately try to figure out which components changed. Your CPU fans are screaming, your RAM is crying, and somewhere deep in your system monitor, a process called "node" is consuming 4GB just to display a button. Meanwhile, your ancestors survived saber-toothed tigers with less computational effort than it takes your laptop to run `npm install`. Evolution really didn't prepare us for the bundle size of modern web development.

Finally Got The Open GL Working In My Audio Visualizer

C++ Hardware Gamedev Programming Debugging

11 days ago 357.5K views 0 shares

Finally Got The Open GL Working In My Audio Visualizer

When you finally get OpenGL rendering working after three days of segfaults and "undefined reference" errors, and everyone's impressed by the pretty particle effects while you're sitting there proud that your GPU is actually doing the work instead of melting your CPU. They think it's about the visuals. You know it's about that sweet, sweet hardware acceleration and those glorious 60 FPS with 2% CPU usage. The real flex isn't the sparkles—it's the efficiency, baby.

What Else Programming Related Can Convert You Into Believer

Hardware Webdev Programming Frontend Backend

13 days ago 236.9K views 0 shares

What Else Programming Related Can Convert You Into Believer

Imagine RAM getting so scarce and pricey that devs actually have to *gasp* optimize their code and think about memory management. No more spinning up 47 Chrome tabs with 8GB each. No more Electron apps eating RAM like it's an all-you-can-eat buffet. Suddenly everyone's writing efficient code, profiling memory leaks, and actually caring about performance. The idea that a hardware shortage could force an entire generation of developers to rediscover what "resource constraints" means is so absurdly dystopian yet plausible that it might actually restore faith in divine intervention. Because let's be real—nothing short of a biblical RAM apocalypse is getting modern devs to stop treating memory like it's infinite.

Cloth Cache

Algorithms Hardware Programming Backend

14 days ago 285.4K views 0 shares

When you've been optimizing cache hit ratios all day and suddenly your entire life becomes a systems architecture problem. The justification is technically sound though: L1 cache for frequently accessed items (today's outfit), sized large enough to prevent cache misses (digging through the closet), with O(1) random access time. The chair is essentially acting as a hot data store while the closet is cold storage. The real genius here is recognizing that minimizing latency when getting dressed is mission-critical. Why traverse the entire closet tree structure when you can maintain a small, fast-access buffer of your most frequently used items? It's the same reason CPUs keep L1 cache at 32-64KB instead of just using RAM for everything. The only thing missing is implementing a proper LRU eviction policy—but let's be honest, that pile probably uses the "never evict, just keep growing" strategy until Mom forces a cache flush.

I Still Don't Understand How Booting Time Got Slower For Whatever Reason

Windows Hardware Microsoft

15 days ago 189.2K views 1 shares

I Still Don't Understand How Booting Time Got Slower For Whatever Reason

Oh, the BETRAYAL of modern computing! You dropped half a grand on a bleeding-edge AM5 CPU and a blazing-fast M.2 NVMe drive that can theoretically transfer data faster than light itself, only to watch your PC boot up like it's stuck in molasses. Meanwhile, your crusty old 2010 setup with a cheap SATA SSD was zooming through boot screens like The Flash on espresso. The cruel irony? Windows has become SO bloated with telemetry, security checks, and whatever mysterious rituals it performs during startup that even NASA-grade hardware can't save you. Your fancy 8000MB/s drive sits there twiddling its thumbs while Windows decides whether it wants to check for updates, scan your soul, or just take a leisurely stroll through its startup processes. Technology peaked in 2015 and nobody can convince me otherwise!

Do You Guys Think Memory Efficiency Will Be A Trend Again

Javascript Webdev Hardware Programming Frontend

16 days ago 216.5K views 0 shares

Do You Guys Think Memory Efficiency Will Be A Trend Again

Electron apps: where your simple to-do list needs 800MB of RAM because why optimize when you can just ship an entire Chromium browser with it? The developer confidently explains their revolutionary idea while someone from a timeline where RAM actually costs money arrives to stop this madness. But modern devs don't care—memory is cheap and abundant, so let's just bundle V8, Node.js, and the kitchen sink for that calculator app. Meanwhile, embedded systems engineers are weeping in a corner with their 64KB constraints.

Browse