Thanks Valve !

Left side: Regular person confidently declaring they feel "totally safe using Tesla Autopilot." Right side: Programmers who actually wrote the code having an existential crisis because they know exactly what lurks in those if-else statements. Nothing makes you question mortality like knowing the corner cases your code doesn't handle. The same programmers who put "// TODO: Fix this later" in production code are now responsible for keeping your car between the lines.

OMG, the AI has spoken and it has ZERO chill! 💩 Asked to vibe check a site from a single image, and what masterpiece does it produce? LINKEDIN! The professional hellscape where everyone pretends their job is their personality! The AI basically looked at a pile of steaming poop and thought "Hmm, yes, this screams 'professional networking platform' to me." If that's not the most savage roast of corporate culture I've ever seen, I don't know what is. The algorithm has officially become sentient and chosen VIOLENCE!

Behold, the moment when programming evolved from tedious logic to "just ask the AI." This genius decided that calculating 1+2 was beneath their intellectual capabilities, so they summoned OpenAI for this complex arithmetic challenge. Why waste precious brain cells on elementary math when you can burn through API credits instead? The shadowy figure below is clearly the ghost of computer science past, silently judging our descent into algorithmic laziness. Next week: using GPT-4 to determine if water is wet.

This meme perfectly captures the chaotic evolution of app development in the AI era. On the left, we have the traditional coding path - straight, predictable, and mind-numbingly slow (5 whole hours for ONE app? The horror!). Meanwhile, the right side shows the AI-assisted coding reality - a complex railway junction with infinite possibilities, unexpected turns, and somehow getting things done in 5 minutes. Sure, the AI way looks more complicated, but that's just because your app now includes 47 dependencies you don't understand, three different machine learning models that occasionally hallucinate features, and enough technical debt to make your future self contemplate a career change to goat farming. The irony? Both tracks eventually lead to the same destination: an app that'll need to be completely refactored in six months anyway.

The ghost of Stack Overflow past returns with a new disguise! Those AI coding assistants promising to revolutionize programming are just our old friend "unhelpful help" wearing a fancy sheet. You unmask it to reveal the same frustrating experience we've always had - intrusive popups asking if you need help writing a letter when you're clearly in the middle of debugging a critical production issue. The "Don't show me this tip again" checkbox might as well be connected to /dev/null for all the good it does. The more things change, the more they stay infuriatingly the same.

Yeah, so ChatGPT "helping" us code is like hiring an intern who writes beautiful documentation but ships code that only works on their machine. Sure, it cranks out that boilerplate in 5 minutes instead of 2 hours, but now you're spending an entire day debugging why it decided to use a deprecated library, mixed async patterns, and somehow introduced a race condition that only happens on Tuesdays. The real productivity boost is going from 6 hours of debugging your own mess to 24 hours of debugging someone else's mess that you don't fully understand. At least when I wrote the bug, I knew where to look. Now I'm reading AI slop trying to figure out why it thought nested ternaries were a good idea. But hey, at least the developer disappeared from the "after" picture. Maybe they finally got that work-life balance everyone keeps talking about. Or they're just crying in the server room.