The Beautiful Disaster

Waterfall development starts with just wheels and slowly builds into a complete car, one piece at a time, in sequential order. Can't back up, can't change direction. Hope you spec'd the right vehicle. Agile takes a different route - start with a skateboard, then scooter, bicycle, quad bike, and finally a car. Each iteration is actually usable, unlike those lone wheels from waterfall. Then there's AI development: throw in Wacky Races' Mean Machine with three normal cars. Because nothing says "cutting edge technology" like randomly generating a monstrosity and hoping it doesn't kill anyone on the highway.

The ultimate job security hack: be so utterly useless that even AI doesn't want your position! When your only contribution to the codebase is comments like "// TODO: fix this later" and your Git commits consist mainly of whitespace changes, you've achieved immortality in the corporate hierarchy. The sweet irony of being simultaneously worthless yet irreplaceable is the tech industry's greatest paradox. That guy's walking away with a smile because he just realized his strategy of writing completely undocumented spaghetti code for the last five years wasn't laziness—it was career insurance!

The perfect visualization of AI development budgets! OpenAI shows up with sleek precision shooting, complete with high-tech gear and professional stance. Meanwhile, Deepseek is just some dude with a pistol who clearly bought his equipment at the discount store but is still somehow hitting the target. It's the classic "billions in funding vs. scrappy startup that still gets results" scenario. Deepseek might look like that one developer who debugs production with print statements, but they're still competing in the same AI Olympics!

Content yeah, i'm sick Ikta Sick of thick database, lemme SELECT * FROM your heart, babygurl

Claiming you've been using ChatGPT since 1996 is like saying you had WiFi in the Middle Ages. For the youngsters: that's Courage the Cowardly Dog typing on a chunky beige PC from when the internet made dial-up sounds that haunted your nightmares. Back then, "AI assistance" meant asking your roommate if they remembered the syntax for a for-loop while they were in the shower. The closest thing to ChatGPT was probably Clippy, and even he couldn't help you reverse a binary tree.

Junior developers turning their heads away from perfectly good documentation and help resources to stare longingly at the siren call of ChatGPT with half-baked prompts. The eternal struggle of tech leads everywhere - watching their team ignore centuries of accumulated wisdom in favor of asking an AI "how 2 center div plz?" and then implementing whatever hallucinated garbage it spits out. The documentation might as well be written in invisible ink at this point.