Quickly Made AI Wrappers Everywhere

The only thing scarier than AI taking over the world? Finding out Python isn't just C in a trench coat. C purists have spent years comforting themselves with the myth that Python is just a wrapper around C functions, like a child riding on their parent's shoulders wearing a long coat. "See, it's just C underneath!" they whisper to themselves while clutching their pointers. But the truth that Python has evolved into its own full-fledged language is apparently more terrifying than any artificial intelligence apocalypse. Nothing strikes fear into the heart of a memory-management enthusiast quite like a language where indentation matters and garbage collection just... happens.

Oh. My. GOD. The absolute TRAGEDY of AI development in four painful acts! 😭 It starts with such INNOCENT OPTIMISM - breaking down the plan into features, like some kind of organizational GENIUS! Then the descent begins... features into tasks with that suspicious "fiask 3" typo lurking like a red flag from the debugging underworld. By panel three, we've entered full CHAOS territory with a file structure that would make Marie Kondo WEEP - file1.py somehow spawning ANOTHER file1.py?! The circular dependency from HELL! And the grand finale? Throwing your hands up and hiring an ACTUAL developer who knows what they're doing! Because nothing says "I've made terrible life choices" like watching your AI project implode spectacularly before it even reaches production!

The existential crisis every ML engineer faces at 2AM after their model fails for the 47th time. "What is thinking? Do LLMs really think?" is just fancy developer talk for "I have no idea why my code works when it works or breaks when it breaks." The irony of using neural networks to simulate thinking while not understanding how our own brains work is just *chef's kiss* perfect. Next question: "Do developers understand what THEY are doing?" Spoiler alert: we don't.

Five of these panels show the typical innovation S-curve where technology evolves from primitive (MS-DOS, Internet Explorer) to peak performance (Windows 95, Chrome). Then there's music... where we apparently peaked at Napster and it's been downhill ever since. The real innovation was clearly the ability to download entire discographies without paying a cent. Progress isn't always what corporate overlords want you to believe it is.

Remember when code reviews meant finding your coworker's spaghetti logic and passive-aggressive variable names? Now it's just you, questioning your existence while scrutinizing AI-generated code that's somehow both flawless and completely nonsensical. The modern code reviewer: frantically Googling obscure algorithms at 2 AM because you can't tell if GitHub Copilot is brilliant or hallucinating. "Is this O(log n) solution actually genius or am I being gaslit by a language model that learned to code from Stack Overflow?" Nothing grinds your gears quite like spending your precious human life debugging code written by a machine that doesn't even get tired or need coffee breaks.

The AI hype train has left the station and everything's suddenly a "vibe" now. LLMs? Vibe. Image generators? Vibe. Neural networks? Big vibe energy. Meanwhile, developers are just nodding along in meetings, terrified to admit they have no idea why marketing keeps calling their REST API a "conversational vibe interface." Too late to ask now. Just smile and pretend you've been vibing all along.