She Said "Yes"

The duality of misspelled comments in code: some developers can't spell to save their lives, while others are playing 4D chess by deliberately misspelling things to prove they're human. It's the ultimate anti-AI flex. "Look at my glorious typo-laden comments! No LLM would ever write 'refactered the databass' or 'fixed bug in buttton click handeler'." The rest of us are just trying to remember if "received" is spelled with "ie" or "ei" while this mastermind is creating linguistic chaos as a career preservation strategy.

Pre-ChatGPT: Developers channeling Neo from The Matrix, bending reality and code to their will, fighting bugs with superhuman focus. Post-ChatGPT: Just a sad cat begging an AI to draw pictures because we've forgotten how to solve our own problems. The evolution of debugging is complete - from coding wizards to glorified prompt engineers asking "pretty please fix my code." The irony? ChatGPT can't even draw that image. Not even a stick figure. Welcome to dependency hell's newest circle.

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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.

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Ah, the eternal developer paradox. When someone shows us AI-generated code, we instantly recognize it as a tangled mess of bugs and questionable design choices. "This is brilliant," we say with thinly veiled sarcasm. But then there's our own code—equally disastrous, probably held together with duct tape and prayers—and somehow we're irrationally attached to it. "But I like this." It's like criticizing someone else's kid for being messy while your own demon spawn is literally setting the house on fire. The cognitive dissonance is strong in this profession.