Toddlers Are Not Optimized

When your professor spent 45 minutes explaining Big O notation and tree traversal algorithms, but you're over here just jamming everything into a HashMap because key-value go brrr. Sure, there are 57 other data structures specifically designed for your exact problem, but why waste time being elegant when you can waste memory being lazy?

So you spent three weeks learning trigonometry, diving into DDA algorithms, and debugging why your walls look like a Salvador Dalí painting, only to realize John Carmack did this in 1992 on hardware that had less computing power than your smart toaster. And he did it while probably eating pizza and writing assembly like it was a casual Tuesday. The "box of triangles" bit hits different when you realize modern game engines abstract all this pain away with their fancy rendering pipelines, but back then? Carmack was literally casting rays and doing trigonometric calculations per pixel to fake 3D in Wolfenstein 3D. No GPU acceleration, no Unity, no "just import Three.js"—just raw math and the will to make demons shootable. Meanwhile, you're here in 2024 with Stack Overflow, ChatGPT, and 64GB of RAM, still struggling to get your raycaster to not crash when you look at a corner. Humbling stuff.

Looking at that isEven function hurts my soul on a spiritual level. Someone's literally checking if a number is even by hard-coding individual cases (0 is even, 1 is odd, 2 is even, 3 is odd...) instead of just using the modulo operator ( return num % 2 === 0 ). And they're doing this while casually flying 30,000 feet in the air with a gorgeous view! The perfect combo of terrible code and flex. My sanity would jump out that window faster than you can say "runtime complexity."

When your algorithm professor says "brute force is O(n) in the worst case" and you think it's not so bad until you realize n=1000 and you're at combination 980. That's the computational equivalent of getting to the last bathroom stall only to discover there's no toilet paper. Just 20 more combinations to go, but your flight boards in 5 minutes. Classic Murphy's Law of Computing: the solution is always in the last place you look—and usually when you're out of time.

The digital equivalent of "walking uphill both ways in the snow." These coding veterans had to squeeze every last bit of performance from machines with less memory than your coffee maker has today. Back when RAM cost more than gold by weight, these legends were performing bit-packing wizardry—cramming 8 boolean values into a single byte instead of wasting 8 whole bytes like some spoiled modern developer. Sure it was slower, but when your entire computer had 64KB of memory, you didn't have the luxury of clean code. Meanwhile, junior devs are complaining that their 32GB RAM MacBook Pro is "literally unusable" because Slack and Chrome are running at the same time.

Ah, the classic bait and switch of tech hiring. You show up to the interview in your fancy suit (Tom from Tom & Jerry), answering questions about red-black trees and time complexity while sweating through your bow tie. Then six months later, you're in the trenches (buff Jerry), sleep-deprived, debugging legacy code written by someone who clearly hated humanity, chugging coffee at 2 AM because production is down and somehow it's your fault. The algorithm questions? Haven't used that knowledge once. But hey, at least you can tell your friends you're a "software engineer" while you're actually just Stack Overflow's most loyal customer.