This MF Cannot Code Without AI

The duality of AI in the development lifecycle is painfully accurate. Junior devs are celebrating like they've discovered fire – "Look ma, no hands!" – while generating code they barely understand. Meanwhile, senior developers stare into the existential void as they're forced to review the AI-generated spaghetti mess. That thousand-yard stare says it all: "I've seen things... terrible things... like nested ternaries and 200-line functions named 'doStuff'." The circle of programming life continues – AI just made the mess arrive faster.

Tech bros with VC money have a unique approach to AI development: just keep burning cash until something works. It's like debugging with a flamethrower. "Have we achieved artificial general intelligence yet?" "No, but we've achieved artificial general bankruptcy quite efficiently." The Silicon Valley strategy of throwing billions at a problem until either the problem gives up or your investors do. Venture capitalists call this "iterative innovation" - normal people call it "setting money on fire while wearing cool sunglasses."

The handshake of deception! Both AI artists and "vibe coders" have found their career shortcut—let the machines do the heavy lifting while you collect the praise. For the uninitiated, "vibe coders" are those developers who spend more time curating their aesthetic GitHub profiles and tweaking VS Code themes than writing actual code. They're the ones who post snippets they didn't write and drop terms like "neural architecture" in casual conversation despite just copy-pasting from ChatGPT. The modern tech equivalent of putting your name on the group project after contributing absolutely nothing. But hey, fake it till you make it, right? Just don't ask them to whiteboard anything without internet access.

Ah yes, the pinnacle of AI evolution: generating code that looks real but is completely non-functional. This masterpiece features "coast" instead of "const", a magical "YIMENT" primary key, and my personal favorite - "ortetocatiem" as a variable. It's like someone fed a neural network a programming textbook and a bottle of tequila. The best part is some poor junior dev will probably try to debug this for hours before realizing they've been bamboozled by an AI hallucination.

When companies boast about "implementing AI," what they really mean is that the project manager discovered ChatGPT can do basic math. Revolutionary stuff! Next up: using a neural network to decide where to order lunch. The corporate world's definition of "AI implementation" is basically just replacing Excel with slightly fancier tools while claiming they're at the cutting edge of the technological revolution. Meanwhile, actual machine learning engineers are banging their heads against their keyboards.

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