O'Reilly: Coding With GPT

Nothing quite captures the existential horror of watching someone ask an AI coding assistant to execute git push for them. Like, my dude, that's literally two words. You could've typed it faster than explaining to ChatGPT what you're trying to accomplish. But no, instead we're burning through API tokens like they're going out of style, having a full conversation with an LLM about version control basics. "Hey AI, can you help me push my changes to the remote repository?" Meanwhile, the rest of us are sitting here watching our collective sanity evaporate like steam from overheated GPUs. The real kicker? After all those tokens, the AI probably just tells them to run git push anyway. Efficiency at its finest. This is what happens when we give people powerful tools without teaching them the terminal is not actually scary.

So you pitch your AI startup to VCs: "We're disrupting the industry with revolutionary machine learning!" They respond: "Cool, here's $50 million in funding to build it." Meanwhile, your actual tech stack is just OpenAI's API with some fancy CSS on top. The entire AI economy is basically investors throwing money at founders who then immediately hand it over to OpenAI, Anthropic, or Google for API credits. It's a beautiful circular economy where the only guaranteed winners are the companies actually training the models. The rest of us are just expensive middleware with pitch decks.

When you have zero clue what you're doing but AI is your new senior developer. Someone's out here treating Claude like a Docker wizard, feeding it increasingly desperate prompts hoping it'll magically spit out a working docker-compose.yml . The best part? They probably don't even know what a volume mount actually does (spoiler: it's for persisting data between containers, not adjusting your Spotify). Just vibes-based DevOps where you copy-paste whatever the LLM gives you and pray it works. The frog's expression captures that exact moment when you hit docker-compose up and watch the terminal scroll, having absolutely no idea if success or catastrophe awaits.

Oh honey, we've been standing at this door waiting for the AI bubble to pop since ChatGPT dropped and everyone started slapping "AI-powered" on their toasters. Day 1: *nervous sweating* "surely this hype can't last!" Day 817: *still standing there like a fool* "...any minute now, right guys?" Plot twist: turns out investors have infinite money for anything with "machine learning" in the pitch deck, and your artisanal hand-coded algorithms are about as trendy as a floppy disk. Meanwhile every startup is raising $50M Series A because their founder said "neural network" three times in a mirror. Spoiler alert: we're all still waiting, and that door isn't opening anytime soon. 🚪💀

THE AUDACITY! A product manager who can't even write requirements without a 50-question interrogation suddenly becomes an AI prophet?! Honey, if you can't tell me what button color you want without changing your mind 17 times, I'm supposed to believe you understand the future of artificial intelligence?! The green monster hand of skepticism is PRESSING X TO DOUBT so hard right now. Sweetie, AI might replace a lot of things, but it'll need actual requirements to do so - something you're physically incapable of providing! Come back when your "visionary roadmap" isn't written in crayon and wishful thinking!

You know you've reached peak efficiency when you realize typing is just unnecessary physical labor. Why waste precious finger calories when you can simply *manifest* the code through sheer vibes? Just sit back, radiate the right energy at your machine, and let the electrons arrange themselves into a functioning codebase. It's like pair programming, except your pair is the universe itself and it's doing all the work. Meditation? Nah. Manifestation? Absolutely. Stack Overflow can't help you here—you need chakras aligned and good energy flows. The post-it notes are probably there to remind you which crystals to use for debugging.