If Lincoln Was A Prompt Engineer

Ah, the classic corporate dilemma: "We need more engineers!" *proceeds to post job listings* while simultaneously a headline announces an AI that can supposedly replace them. The irony is delicious. Companies are still desperately hiring humans while breathlessly hyping the AI that will make us obsolete. Fifteen years in this industry and I've seen this movie before—neural networks, blockchain, quantum computing—all going to revolutionize everything... until they don't. Meanwhile, some poor hiring manager is still trying to find a senior dev with 10 years experience in a 3-year-old framework for entry-level pay. The circle of tech life continues.

When your sorting algorithm is just "Hey ChatGPT, can you sort this for me?" 🤣 Finally, a sorting algorithm with O(API_call) complexity! Sure, it might take 3 seconds instead of 0.000001, but why implement quicksort when you can outsource your basic CS skills to an AI that probably learned from the Stack Overflow answers you were too lazy to read? Next up: VibeSearch - for when binary search is just too much work.

SWEET MOTHER OF DISRUPTION! This bingo card is basically every venture capitalist's wet dream turned into a horrifying reality check! 😱 Each square represents the ABSOLUTE NIGHTMARE that is modern tech - from "only solves rich people problems" (because who cares about the poors?) to "bug causes death" (just a minor inconvenience for the shareholders). And don't get me started on "everything is a subscription" - my bank account is SCREAMING in monthly payment pain! The center square just being "ADS!" is the chef's kiss of digital dystopia. It's the free space because NOTHING in tech is actually free! They're either harvesting your data or your soul - usually both! Next startup pitch meeting, just bring this card and mark squares as the founder speaks. BINGO will happen faster than you can say "disruptive blockchain AI solution"!

The modern developer dichotomy in its full glory! Up top we've got the polished, well-groomed developers who just copy-paste from Stack Overflow, Google search results, and ask ChatGPT to fix their bugs. Meanwhile, the documentation readers below look like they've been coding for 72 hours straight, sustained purely by Monster Energy and sheer determination. Reading docs is apparently the programming equivalent of staring into the void until the void stares back. The best part? Those documentation demons probably write better code than the rest of us combined. Choose your fighter: pretty but dependent, or unhinged but powerful.

Ah yes, the classic "become a data scientist in 50 days" roadmap. Master Python in 5 days, R in another 5, and calculus in a weekend. By day 41, you're predicting which passengers survive the Titanic—a task that's apparently more complex than learning an entire programming language. The most realistic part? The Titanic project sinking just like your expectations when you realize actual data science requires years of study, not a 7-week crash course.

The classic technical debt has come due! Our protagonist spent 1.5 years building a house of cards with ChatGPT as the foundation. Now they're facing a monitored VM environment where their AI lifeline is severed, and they've got 21 hours to learn what they should've spent 1.5 years studying. This is like trying to cram for a swimming test after pretending to be Michael Phelps while secretly using floaties. The controlled environment is the ultimate "runtime error" for someone who's been copy-pasting their way through education! The irony is delicious - they've been training an AI to code instead of training themselves. Now they're contemplating risking academic dishonesty or cramming an entire Java curriculum overnight. Talk about a self-inflicted NullPointerException to their career!