Devops

Oh look, it's the compiler we all secretly want but are too afraid to admit! The "AI C Compiler" (aicc) is basically what happens when you combine a programmer's desperation with their unwillingness to learn proper memory management. Instead of fixing your semicolons and memory leaks like a responsible adult, just throw your garbage code at ChatGPT and pray! "Will your code compile? Will it be fast or slow? Will it have memory leaks?" Who knows! It's like playing Russian roulette with your codebase, except all chambers are loaded and the gun is pointed at your production server. The best part? You don't even need to understand what you're doing anymore! Just make vague gestures at your requirements and let AI figure it out. Programming degree? Waste of money. Stack Overflow? Ancient history. Just whisper sweet nothings to the machine and watch it spit out code that's probably better than yours anyway.

Ah yes, the classic "I clicked the 'Update' button on my phone and now I'm basically a Google engineer" syndrome. Nothing says "tech prodigy" quite like taking credit for an automated system update while tweeting from your smart refrigerator. Next week they'll be adding "helped design quantum computing architecture" to their LinkedIn after turning their Wi-Fi router off and on again.

Ah, the sweet sound of a developer who's been through one too many sprint retrospectives where nothing actually improves. What started as a manifesto written by reasonable people has morphed into corporate theater where we pretend estimating tasks with Fibonacci numbers and t-shirt sizes somehow makes software appear faster. Meanwhile, scope keeps expanding, burndown charts look like seismograph readings during an earthquake, and somehow we end with more points than we started with. That pie chart is the truest thing I've seen all day. 90% planning meetings where we argue if something is an 8 or a 13, and 10% actual coding squeezed in between "ceremonies." And don't get me started on the scrum masters who think "velocity" is something you can increase by having more meetings about increasing velocity. The real agile was the friends we made along the way... while hiding in conference rooms trying to get actual work done.

The mythical "zero bugs" feature is software development's greatest illusion! What looks like perfect code is actually just perfect isolation—nobody's touching your shiny new feature. It's like building an elaborate sandcastle that nobody visits. The brutal scroll of truth reveals what senior devs learn after countless release cycles: no reported bugs often means no actual users. The character's anguished "NYEHH!" is the sound of a developer's dreams being crushed by reality. Next time your PM celebrates zero bug reports, remember to check those usage metrics first!

The moment your boss asks you to revisit that legacy codebase you abandoned six months ago. You swagger in confidently, only to discover your tests are as broken as your promises to "document everything properly next time." Red error messages as far as the eye can see. Time to mysteriously develop a sudden case of food poisoning.

Ah, the classic "payment failed, delete everything" approach. Google Cloud apparently runs on the same code that powers my ex's memory after an argument. The best part? They didn't just nuke $80B worth of data once - they went after the backups too. Like a digital toddler throwing a tantrum: "You didn't pay? I'll delete this... AND THIS... AND THIS TOO!" This is why multi-cloud isn't paranoia, it's survival. And why the most important line in your codebase isn't the clever algorithm - it's the exception handler that doesn't rage-quit when payments hiccup.