Another Thing Killed By OpenAI

The duality of the paranoid developer! First panel: frantically hunting through VS Code settings to disable Microsoft's telemetry like a digital privacy crusader. Matrix-style background because we're obviously elite hackers protecting our precious code snippets and search history. Second panel: immediately surrendering all that privacy by activating GitHub Copilot, which sends your entire codebase to Microsoft's servers for analysis. It's like installing a security system on your front door while leaving the back door wide open with a neon sign saying "FREE DATA HERE!" The true irony? We'll spend hours configuring privacy settings but won't hesitate for a second to let an AI see our embarrassingly commented code if it saves us from writing another boring CRUD function. Privacy principles

In the dystopian future of 2049, the AI overlords are hunting down RAM hoarders like they're war criminals. You thought hiding a few sticks of DDR4 was harmless? Wrong. But our hero here? He's playing 4D chess. "It's DDR5, officer. Bought it before the great shortage of 2025." The real genius move was panic-buying DDR5 during the shortage like it was toilet paper in 2020. Now he's sitting on hardware that's basically cryptocurrency. Meanwhile, the rest of us are still running Chrome with 8GB and praying to the OOM killer gods. Fun fact: By 2049, your RAM will probably need its own RAM just to run the bloated Electron apps of the future. But at least you'll be able to open three browser tabs without your system catching fire.

The evolution of developer laziness has reached its final form. In 2020, some poor soul manually hardcoded every single number check like they were writing the Ten Commandments of Boolean Logic. "If it's 0, false. If it's 1, true. If it's 2, false..." Someone really sat there and typed out the entire pattern instead of just using the modulo operator like num % 2 === 0 . Fast forward to 2025, and we've collectively given up on thinking altogether. Why bother understanding basic math operations when you can just ask an AI to solve it for you? Just yeet the problem at OpenAI and pray it doesn't hallucinate a response that breaks production. The best part? The AI probably returns the hardcoded version from 2020 anyway. We went from reinventing the wheel to not even knowing what a wheel is anymore. Progress! 🚀

For decades, error handling was that thing everyone nodded about in code reviews but secretly wrapped in a try-catch that just logged "oops" to console. Nobody wrote proper error messages, nobody validated inputs, and stack traces were treated like ancient hieroglyphics. Then AI showed up and suddenly everyone's an error handling expert. Why? Because when your LLM hallucinates or your API call to GPT-4 fails, you can't just shrug and refresh the page. Now you need graceful degradation, retry logic, fallback strategies, and detailed error context. The massive book represents all the error handling knowledge we should've been using all along. The tiny pamphlet is what we actually did before AI forced us to care. Nothing motivates proper engineering practices quite like burning through your OpenAI API credits because you didn't handle rate limits correctly.

The asylum of programming sins is now accepting new patients! Left to right, we have the poor soul who thought regex was a sensible XML parsing solution (narrator: it wasn't), the delusional dev who reinvented the wheel with a custom date/time library (because clearly, humanity hasn't solved that problem in the last 50 years), and finally—the pièce de résistance—the screaming maniac who blindly copy-pasted AI-generated "fixes" straight into production. The padded walls of this code asylum are the only things keeping these developers from harming themselves or others with more terrible technical decisions.