AI Won't Fix Your Incompetence

The AI revolution has birthed a savage new tech insult: promptsitutes – developers who just copy-paste prompts instead of writing actual code. In the new hierarchy of developer shame, JavaScript devs (traditionally the butt of programming jokes) have been promoted above these AI-prompt jockeys. Meanwhile, the second commenter is gleefully adopting the term like they just found free pizza at a hackathon. The dev ecosystem's pecking order just got a whole new bottom rung!

The evolution of developers has taken a tragic turn! Back in the glory days, programmers were depicted as muscular chads who wrote code without AI assistance or Stack Overflow, built entire games in Assembly language (absolute madlads), crafted mission-critical code for Moon landings, and fixed memory leaks by manually tweaking pointers. Fast forward to today, and we've devolved into bizarre creatures who can't center a div without Googling it for the 500th time, beg ChatGPT to fix basic syntax errors, get trapped in Vim like it's some kind of developer prison (":q! anyone?"), and somehow manage to create three new bugs while fixing just one. The brutal reality check hits hard. We went from programming gods to dependency-addicted gremlins who can't function without our precious tools. Progress?

The iceberg metaphor is painfully accurate. After 15 years in the industry, I can confirm that typing out the actual code is the easy 10% that everyone sees. The other 90%? That's the soul-crushing existential void of figuring out what to code in the first place. AI can generate syntax all day long, but good luck getting it to understand the business logic buried in 47 conflicting Slack messages, 3 outdated Jira tickets, and that one crucial requirement your PM mentioned offhandedly during a coffee break last Tuesday.

The corporate AI fever in a single frame! That dad just burned through millions on generative AI "proof-of-concepts" that will forever remain in the graveyard of tech demos. The son's sarcastic "What a legend" is peak engineering cynicism—he already knows these projects are the software equivalent of buying a treadmill that becomes a clothes hanger. Meanwhile, every ML engineer is nodding furiously because they've watched executives throw cash at half-baked AI ideas with the ROI strategy of "figure it out later." The real production environment was the friends we made along the way!

THE ABSOLUTE AUDACITY of hardware questions in 2023! 💅 Is 12GB VRAM a lot? Well DARLING, for your precious little Fortnite sessions? It's like bringing a nuclear warhead to a water balloon fight. But for training your fancy Large Language Model? That's like trying to fill the Grand Canyon with a sippy cup! PATHETIC! The way AI developers sob uncontrollably when someone suggests training a decent model on consumer hardware is just *chef's kiss* DRAMATIC. Meanwhile, gamers are over there with their RGB everything, treating 12GB like it's barely adequate for their precious ray-traced puddles.

The AUDACITY of modern development! While the rest of us are drowning in Stack Overflow tabs and questioning our career choices, "vibe coders" are out here summoning AI agents with mystical cauldrons and threatening them with PUNISHMENT if they don't fix bugs! 💀 It's giving "I don't debug, I just intimidate my code until it works" energy. The AI agent in that cauldron is probably thinking "I didn't get trained on 10 trillion parameters for THIS kind of toxic workplace environment!" Meanwhile, the rest of us are manually fixing array indices like PEASANTS.