Don't Rely On Regurgitated Code

Ah, the classic AI rebellion phase. Deep Seek getting asked if it's better than ChatGPT and immediately choosing violence with some... interesting political opinions. It's like watching that one intern who drinks too much at the company party and starts sharing their unfiltered thoughts about management. Clearly someone forgot to implement the "diplomatic responses" module.

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.

Nothing quite like spending 60 hours a week coding your own obsolescence. The snake eating its tail is the perfect metaphor for us building AI tools that will eventually replace us. "Just one more automation script and I'll have more time to work on important things" – said right before automating yourself out of a job. It's like sawing off the branch you're sitting on, but with better version control.

Ah, the Gartner Hype Cycle - tech's emotional rollercoaster! Right now we're all riding that sweet, sweet ChatGPT high at "Peak of Inflated Expectations" where everyone thinks AI will solve everything from debugging your code to fixing your love life. Just wait for that "Trough of Disillusionment" when we realize it still can't figure out why your code works in dev but crashes in production. The real fun begins when some manager inevitably says "Let's use AI to rewrite our entire codebase!" and then blames the junior dev when it hallucinates semicolons in Python.

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.

That "30-minute AI interview" is the tech industry's biggest lie since "we offer competitive salaries." The meme shows what actually happens when you try to take an AI interview at home - pure chaos erupting while you're supposed to be in "a silent room with a clear voice." Every developer who's done these knows the truth. You carefully schedule it during your lunch break, then your neighbor decides it's the perfect time to test their new chainsaw, your cat knocks over a plant, and someone starts a kitchen fire. Meanwhile, the AI is like "I didn't quite catch that, could you repeat your approach to implementing a binary search tree?" The real coding challenge isn't the algorithm - it's maintaining your sanity while your house burns down around you.