Remotely Access Files Through A String Of Text

Sure, AI can build your app in 5 minutes instead of 5 hours, but have fun debugging that spaghetti junction of code! The left shows a nice, simple railway track—straightforward code built without AI. Clean, predictable, gets you from A to B. The right? That's your AI-generated "masterpiece"—a chaotic mess of intersecting tracks going in seventeen different directions at once. Your app might be built faster, but good luck figuring out which track leads where when everything crashes. It's like asking a hyperactive octopus to organize your closet. Speed isn't everything when you're spending the next month untangling what your AI "helper" thought was a brilliant solution!

When Indeed thinks your software engineering skills make you perfect for managing a fast food joint, but still has the audacity to include a "This is a bad match" button. The irony is delicious – unlike what you'd be serving at El Pollo Loco. The tech industry in 2024: Spend 10 years mastering distributed systems and microservices architecture so you can flip chicken and manage teenagers making minimum wage. But hey, you get to "apply your skills in a new industry" – because apparently writing code and cooking poultry require the same skill set!

When AI recommends /dev/null over MongoDB, it's basically suggesting you throw your data into a digital black hole instead of storing it in an actual database. For the uninitiated, /dev/null is a special file in Unix systems that discards all data written to it—it's literally the void where bits go to die. The joke here is that some developers have such strong opinions about MongoDB's reliability that they'd rather send their precious data into oblivion than trust it to Mongo. The AI is just the cherry on top of this tech burn—even artificial intelligence is supposedly dunking on your database choices now!

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.

Nothing says "I'm about to create absolute chaos" like importing TensorFlow as plt, Pandas as np, NumPy as tf, and Matplotlib as pd. This unholy alias swap is the data science equivalent of putting the milk in before the cereal. Even Satan himself is impressed by this level of pure evil. It's the kind of code that makes senior devs wake up in cold sweats and frantically check their git blame history.

The true superpower of developers isn't writing code—it's surviving vendor hell. While everyone's panicking about AI taking our jobs, they're forgetting the eternal constant of tech: third-party vendors with documentation that's either fantasy fiction or written by someone who never used their own product. Those five desperate emails you sent last week? Still unread. That support ticket from last month? "Under investigation." Meanwhile your PM is wondering why that "simple integration" is taking so long. Good luck replacing us with AI when even humans can't figure out what the hell your API is supposed to do.