Modern Problems Require AI Solutions

Nothing cures depression like a good debugging session. Ice cream? Nah. Back rub? Pass. But mention a computer problem, and suddenly we're teleporting off the couch with superhuman focus. The dopamine hit from fixing that one semicolon error is better than therapy. It's not a bug, it's a feature of our broken psyche.

Documentation: *exists* Developers: *immediately pull out the "I-don't-care-inator"* Let's be honest—reading documentation is like flossing. We all know we should do it, but somehow we'd rather blast it into oblivion and ask ChatGPT to explain that obscure method in five words or less. Ten years of experience has taught me that the time saved skipping docs is always paid back with interest during 3 AM debugging sessions. Yet here we are, finger hovering over the ChatGPT tab, ready to type "how to center a div" for the 500th time.

The entire open source revolution—GNU, Linux, Firefox—all born from the collective rage of programmers who couldn't get their printers to work. Nothing motivates innovation like the silent fury of watching a printer smugly display "PC LOAD LETTER" while holding your career hostage. Linus Torvalds probably created Git just to version control his printer troubleshooting attempts.

Top panel: You, a mere mortal, struggling to create a binary file format from scratch like some kind of masochist. Bottom panel: The hex editor descending from the heavens with divine radiance, ready to save you from your own hubris. Nothing quite humbles you like realizing the tool existed the whole time while you were banging rocks together trying to manually format binary data.

Normal programming: confident strides up the staircase. Programming with an audience: suddenly you forget how to type, what variables are, and whether semicolons even exist. It's like your brain decides to factory reset the moment someone peers over your shoulder. The curse of the observer effect in its purest form – quantum mechanics has nothing on the performance anxiety of live coding.

OH MY GOD, the AI apocalypse is here in the form of railway chaos! 😱 Sure, your traditional coding path is a nice, straight, predictable track that takes 5 WHOLE HOURS of your precious life. But throw in some AI agents and BOOM—you've got a tangled nightmare of complexity that somehow works in 5 minutes! It's like trading your nice quiet country road for Grand Central Station during rush hour. Congratulations, you've saved 4 hours and 55 minutes, but your codebase now resembles a plate of spaghetti that even Italian grandmothers would disown. Speed or sanity? YOU CHOOSE!