This AI Only Uses 1 KB VRAM!

Oh look, it's another tech visionary with a "revolutionary" app cobbled together from Stack Overflow snippets and ChatGPT prompts! Nothing says "I understand software development" quite like a CEO dropping 700 spaghetti-coded files with ML models, LLM calls, and a Docker compose file that would make Kubernetes cry. The poor dev is basically being asked to perform digital necromancy on this monstrosity in just two weeks. That resume update isn't writing itself, buddy!

The joke brilliantly skewers how recommendation algorithms work in real life. Instead of having original preferences, ML models basically look at what's popular and say "I'll have what they're having!" It's the digital equivalent of copying the smart kid's homework, but with billions of data points. Collaborative filtering in a nutshell—why make your own decisions when you can just aggregate everyone else's? Next time Netflix suggests that documentary everyone's watching, remember it's just an algorithm at a bar asking what's trending.

The sacred men's room code: stare straight ahead, no talking, and definitely no AI productivity tool recommendations while someone's mid-stream. Nothing worse than being cornered at the urinal by the office AI evangelist explaining how GitHub Copilot will save your career with those made-up productivity percentages. Just let me pee in peace before telling me I'll be automated out of existence, thanks.

The schadenfreude is palpable. Senior devs have watched this movie before—junior copies ChatGPT code, junior deploys ChatGPT code, production server bursts into flames. There's a special kind of satisfaction watching someone learn the hard way that AI doesn't understand edge cases or business logic. It's the circle of dev life: you either die a ChatGPT believer or live long enough to become the cackling senior who saw it coming.

Boss announces they need a new app. First dev suggests ChatGPT, second one pitches Claude. Meanwhile, the third developer—clearly a relic from the Before Times—suggests they actually *write code themselves* and gets defenestrated for their audacity. We've reached peak absurdity where suggesting manual coding in a meeting is now a fireable offense. The industry went from "learn to code" to "learn to prompt" faster than you can say "npm install." That poor soul probably still writes documentation and uses meaningful variable names too. What a dinosaur. Fun fact: In 2024, suggesting you actually understand the code you're shipping is considered a microaggression against AI tools.

C-suite discovers AI exists, immediately mandates every feature must be "AI-powered" regardless of whether it makes sense. Six months later, the codebase is a dumpster fire of hallucinating chatbots and the last competent senior developer is updating their LinkedIn profile while you're left holding the bag. The timeline is oddly specific because that's exactly how long it takes for the AI hype to crash into the reality wall, the metrics to tank, and management to quietly pretend they never said any of this. You'll be the one left refactoring the mess while they're already onto the next buzzword.