Question On My Job Application

First half: "AI will destroy all programming jobs! Web dev is dead! DSA and MERN are obsolete! Only learn ML and chase trends! Stop coding!" Plot twist: "The more people panic and abandon ship, the more job security for those of us who know better." Classic fearmongering followed by the actual 4D chess move. Nothing creates better job security than convincing your competition to quit. The tech industry's version of "This beach is totally haunted, you should leave... alone... with all your picnic supplies."

Ah, prompt engineering—the dark art of manipulating AI language models through carefully crafted inputs. This meme nails the uncomfortable truth: we're basically just psychological manipulators trying different phrasings, formatting tricks, and emotional appeals until the AI finally spits out what we want. "Try adding 'as a world-class expert' to your prompt" is just fancy talk for "lie to the robot until it believes in itself." And the best part? After all that effort crafting the perfect prompt, you just walk away like Skeletor, already planning your next psychological operation. The relationship between humans and AI is less collaboration and more... elaborate con job.

Ah yes, the terrifying AI revolution that's going to replace us all... with a locally saved HTML file. Nothing says "cutting-edge web development" quite like sending someone a file path that only works on your machine. The future of tech is clearly C:\Users\ben\Downloads\index.html — accessible to literally no one but Ben. Sleep tight, fellow developers. The robots aren't coming for our jobs until they figure out what a web server is.

The hard pill that data scientists refuse to swallow! While everyone's obsessed with fancy neural networks and complex algorithms, the brutal reality is that garbage data produces garbage results, no matter how sophisticated your model is. It's like putting lipstick on a pig - your 17-layer deep learning architecture won't save you from the mess of unclean, biased data you're feeding it. The real heroes aren't the ones with the fanciest models but the poor souls who spend weeks cleaning datasets nobody will ever appreciate. Next time someone brags about their model's accuracy, ask them about their data preprocessing steps and watch them squirm!

So we've gone from "full-stack engineer" to "prompt engineer" and now we're just calling it what it is: sloperator. Someone who operates the slop machine. You know, the person who types "make it more professional" seventeen times until ChatGPT finally spits out something usable. Look, I've been in this industry long enough to see every buzzword cycle through. Remember when everyone was a "ninja" or "rockstar"? Now we're pretending that asking an AI nicely is engineering. Next thing you know, people will be putting "Advanced Sloperator - 5 years experience" on their LinkedIn. The brutal truth? Half of us are sloperators now and we're all just hoping nobody notices until our next performance review.

The eternal cycle of tech hype has reached AI, and seasoned devs are getting tired. Non-technical folks are out here acting like AI is going to replace us all tomorrow while pushing no-code solutions that barely work. Meanwhile, actual developers know the truth: these tools are just fancy autocomplete with good marketing. Instead of dropping cash on "AI that writes code," people could learn how their systems actually work and build sustainable solutions. But that requires effort, and why do that when you can just slap "AI-powered" on everything? The real kicker? We're the ones who'll have to clean up the technical debt when the hype dies down. Just like we did with blockchain, serverless, and whatever "vibe coding" is supposed to be.