AI Can't Save You Now

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When you spent years mastering tree inversions in C++ with all those pointer gymnastics, memory leaks, and segmentation faults only to watch some kid ask ChatGPT to do it in 5 seconds. The audacity. The betrayal. Back in my day, we debugged with print statements and cried silently into our mechanical keyboards.

When your resume is just a list of tech companies that imploded right after you left. Nothing suspicious here, folks. Just a trail of digital catastrophes following this person like a shadow. Netflix sports streaming that doesn't exist yet, CrowdStrike's Windows update disaster, Google's Gemini historical figure fiasco, Silicon Valley Bank collapse, and FTX's crypto meltdown. Hiring managers will definitely not notice this pattern of working at companies right before they face existential crises. Solid career strategy - join, collect paycheck, abandon ship, repeat.

Ah, the corporate euphemism for "we're replacing you with ChatGPT." Nothing says "your job security is in jeopardy" quite like a cheerful poster about "vibe coding" where you just need to "embrace AI to write 95%+ of your codebase." The best part is the subtle transition from "programmer" to "product engineer" – because apparently typing prompts is engineering now. And that "10-100x productivity" claim? That's corporate speak for "we're firing 90% of you next quarter." My favorite line has to be "human taste is now more important than coding skill." Translation: we're keeping Dave from marketing because he has "good vibes" but your 15 years of backend experience? Not vibing enough, sorry. The final gut punch is in the fine print: "technical debt accumulates faster." Yeah, no kidding – that's what happens when you let AI hallucinate your entire infrastructure. But hey, at least we'll "get to MVP quickly" before the whole thing collapses!

Ah yes, the classic "let me solve this simple problem with the most unnecessarily complex solution possible" approach. Two mutually recursive functions to check if a number is even or odd? This has ChatGPT's fingerprints all over it. Meanwhile, every developer with more than 3 brain cells is screaming: return (n % 2 == 0); and calling it a day. This is what happens when you ask AI to "make it elegant" or "optimize this function." You get code that looks impressive in a technical interview but would get you publicly shamed in a code review.

The so-called "advanced AI" for processing insurance claims? Just a Python script that flips a coin! The code imports the random module and uses random.choice() to pick between "deny" and "approve" with equal probability. Next time your claim gets rejected, remember it wasn't because of your pre-existing condition—it was because RNGesus wasn't in your favor today. Sophisticated machine learning my foot! It's literally the computational equivalent of "eeny, meeny, miny, moe" but with fewer steps.