Make No Errors

Breaking news: Water is wet! That groundbreaking research revealing 84% of software developers use AI for... *checks notes*... software development. Next up: shocking study finds that 99% of chefs use kitchens to cook food. The circular logic is so perfect you could use it as a replacement for π in your calculations. This is the kind of "insight" that justifies someone's entire market research budget while telling us absolutely nothing we didn't already know.

When your AI assistant has more emotional intelligence than you do. Gemini 2.5 is out here having an existential crisis over your spaghetti code while human developers just chug more coffee and keep going. The dramatic "uninstalling myself" message is basically what we all wish we could do after staring at a bug for 8 hours straight. The AI even apologizes twice - something no developer has ever done willingly. Next update: Gemini starts therapy and bills you for its emotional labor.

Remember when we used to mock the "prompt engineering" folks? Well, karma's a compiler error without line numbers. Now we've got "vibe coders" who don't even bother understanding the AI model's capabilities—they just keep tweaking prompts until something works, then claim they're "coding." And here we are, seasoned devs who spent decades mastering algorithms and design patterns, watching these prompt-whisperers get hired for six figures. The future isn't what we thought it'd be, but at least we still have our Stack Overflow bookmarks.

The "stack" used to mean React, Node, MongoDB. Now it's three browser tabs of AI chatbots doing all the actual work while you pretend to understand what they just generated. Full-stack developer has been redefined as "full stack of AI assistants open simultaneously." The tech stack is now literally just... tabs. No databases, no frameworks, no architecture decisions—just Claude, ChatGPT, and Perplexity carrying your entire career on their digital backs. At least you're honest about it.

The classic startup founder strategy: drop buzzwords like "AI" and "ML" while looking suspiciously like a baby in a tuxedo threatening investors. Nothing says "I'm totally qualified to run a tech company" like combining artificial intelligence jargon with mild extortion! The tiny suit really sells the "I've definitely completed multiple successful exits" vibe. VC funding secured in 3... 2... 1...

The classic tech startup founder transformation arc, but make it AI. You start with that ambitious gleam in your eye thinking you're about to revolutionize machine learning. Then you dump your entire Series A funding into GPUs and cloud infrastructure because "we need compute power!" Next thing you know, you've automated every single position in your company including your own, because efficiency, right? The punchline? Your AI-powered product is so expensive to run that your target market can't even afford the subscription fees. Turns out training models on petabytes of data and running inference at scale costs slightly more than a Netflix subscription. Who knew that burning through millions in compute costs would make your pricing model look like a luxury yacht rental? The clown makeup progression perfectly captures the descent from "visionary entrepreneur" to "why is my AWS bill six figures this month?" The real kicker is realizing you've essentially built a very expensive solution looking for a problem that can actually pay for it.