We're Doomed: The AI Apprentice Becomes The Master

The perfect litmus test for human-written code comments has arrived! While AI generates those perfectly formatted, polite explanations about what each function does, real developers leave behind digital trauma warnings like "DON'T TOUCH THIS I SPENT 5 FUCKING HOURS ON IT AND IF YOU REMOVE IT THE WHOLE APP BREAKS." Nothing says "written by an actual sleep-deprived human" quite like a comment that's equal parts technical documentation and existential cry for help. In the dystopian future where AI writes all our code, we'll identify the last human programmers by their caps-lock rage and thinly-veiled threats to future maintainers.

The evolution of dependency management excuses is just *chef's kiss*. First we pretend it's a calculated technical decision. Then we admit we're just lazy. But that final panel? Pure gold. "LLMs don't understand it yet" is the new "works on my machine." Nothing like blaming AI for your technical debt while your package.json looks like a digital archaeological dig site. Meanwhile, your junior dev is quietly running "npm audit fix" in production.

The four stages of training an AI model, as experienced by every data scientist who's ever lived: First panel: Innocent optimism. "Training time!" Oh, you sweet summer child. Second panel: Desperate pleading. "C'MON LEARN FASTER" while staring at that pathetic learning curve that's flatter than the Earth according to conspiracy theorists. Third panel: The error messages. Just endless red text that might as well be hieroglyphics. *SIGH* indeed. Fourth panel: Complete surrender. "3, 6, 2!!!" *shoots model* "I'LL GO GET THE NEXT ONE." Because nothing says machine learning like throwing away hours of work and starting from scratch for the fifth time today. The real joke is that we keep doing this voluntarily. For money. And sometimes fun?

Complaining about AI killing Stack Overflow while posting a question that perfectly demonstrates why Stack Overflow had to get strict in the first place. The irony is delicious. This question is the equivalent of walking into a library and shouting "WHY AREN'T LIBRARIES COOL ANYMORE?" while the librarian points at the "Quiet Please" sign. The -17 score is just the chef's kiss on this masterpiece of self-contradiction.

The eternal struggle of math majors who chose programming instead of the "traditional" math paths. On the left, we see the bright, colorful world of physics, machine learning, electrical engineering, statistics, and numerical analysis – all respectable career choices that utilize advanced mathematics. On the right, the noir film-style programmer, stripped of color and joy, questioning their life choices while debugging someone else's spaghetti code at 3 AM. That moment when you realize you could be solving differential equations but instead you're arguing with the compiler about why a semicolon is missing. The math degree prepared you to understand complex algorithms but forgot to mention you'd spend 90% of your time fixing indentation errors.

Content You're a bunch of node.js hipsters that just HAVE to install everything you read on Hacker News! But Docker allows us to run our applications anywhere! Do you hear yourself? Why do we need docker if we're running a VM? A container inside a container!!!