The Four Bins Of Modern Development

An AI trained on StackOverflow responses would indeed be the most passive-aggressive assistant ever created. It would have a PhD in telling you your question is a duplicate of something posted in 2011, suggest you should have read the documentation that doesn't exist, and occasionally remind you that what you're trying to do is "trivial." The only thing missing is the ability to close your real-life problems as "off-topic."

The new tech bro just dropped: the Power Proompter. This magnificent creature spends $200/month on ChatGPT subscriptions while simultaneously dropping $2000 on an RTX4090 to run local models—because irony is dead. They're convinced that "prompt engineering" is the new computer science degree and frantically warn everyone that traditional programmers will be extinct faster than dinosaurs facing that asteroid. The best part? They guard their precious prompts like they're the nuclear launch codes while slapping "Proomt Engineer" on their LinkedIn because spelling is apparently optional in this brave new AI world.

Ah, the classic "tell us about your AI tools" question. The perfect trap for developers who've been using ChatGPT to write 90% of their code for the last year. Do I admit I outsource my brain to silicon, or pretend I still remember how loops work? It's like asking a chef if they use pre-minced garlic. We all do it, but nobody wants to be the first to confess in the interview.

Ah, Google Assistant taking "seconds" literally while DeepSeek and OpenAI duke it out in the AI arena. Poor thing is just counting all the 2nds in a year instead of calculating 365 × 24 × 60 × 60. This is what happens when you train your model on dad jokes instead of math problems. At least it's consistently wrong with confidence - the hallmark of every production system I've ever maintained.

The so-called "advanced AI" for processing insurance claims? Just a Python script that flips a coin! The code imports the random module and uses random.choice() to pick between "deny" and "approve" with equal probability. Next time your claim gets rejected, remember it wasn't because of your pre-existing condition—it was because RNGesus wasn't in your favor today. Sophisticated machine learning my foot! It's literally the computational equivalent of "eeny, meeny, miny, moe" but with fewer steps.

When your AI-powered project becomes a Frankenstein's monster that even AI can't fix... That's when you know you've created something truly special. This dev built a 30-file Python monstrosity with zero Python knowledge, using Claude as their coding sidekick. Now Claude's having an existential crisis trying to understand the spaghetti code it helped create. The irony is delicious - AI was supposed to replace programmers, but it turns out you still need actual programming skills to tell the AI how to clean up its own mess. This is like asking a toddler to babysit itself and then wondering why the house is on fire.