Not So Open Of You

Top panel: Homer standing confidently with a single <AI> tag on his chest. Bottom panel: Homer covered in a chaotic mess of if statements. The perfect visual representation of how we all pretend our code is elegant AI when really it's just a tangled nightmare of nested conditional statements. That "revolutionary machine learning algorithm"? Just 500 if-statements in a trench coat trying to look sophisticated. The corporate demo vs. the git repository reality.

So pair programming has evolved from "let's solve complex architectural problems together" to one dev literally dictating pixel-perfect CSS adjustments while an AI model frantically tries to interpret human frustration. By 2026, your "pair" won't even be another human—it'll be you screaming increasingly specific prompts at an LLM that keeps centering the div in the wrong dimension. The real tragedy? The AI will probably nail it on the first try if you just say "move it up a bit" but will completely hallucinate a new framework if you're too specific. Classic.

Remember when AI was gonna take all our jobs and we'd be obsolete by Tuesday? Yeah, Pepperidge Farm remembers. Turns out "prompt engineers" are about as effective at replacing actual developers as a chocolate teapot. While everyone was panicking about ChatGPT writing flawless code, those of us in the trenches are still here, debugging the same garbage we've been debugging for years. Except now we also get to debug the AI-generated garbage too. Job security never tasted so bitter.

So we've gone from manually writing spaghetti code to having AI write it for us, and now we're at the galaxy brain level: creating infinite loops where AI agents prompt other AI agents to generate even more questionable code. It's like automation inception, except instead of dreams within dreams, it's slop within slop. The real kicker? Someone's actually getting paid to architect systems where bots talk to bots to produce code that nobody will ever read or maintain. It's the ultimate perpetual motion machine for tech debt. Why write bad code yourself when you can build an entire infrastructure dedicated to generating it at scale? The future of software engineering: humans designing increasingly elaborate Rube Goldberg machines of AI agents, all so we can avoid the horror of actually thinking about our code.

Oh. My. God. The DIABOLICAL GENIUS of tech execs playing 4D chess with our careers! 😱 First, they're all "AI will TOTALLY replace you programmers!" Then suddenly everyone's terrified of learning to code. Supply plummets. Demand stays the same. And BOOM – programmer salaries SKYROCKET to astronomical levels! It's the most beautiful, twisted supply-and-demand manipulation I've ever witnessed. And we're all just pawns in their evil little game! *dramatically faints onto keyboard*

Someone asks for a slang term for human-written code, and the response is "rawbraining" – which is absolutely brilliant. In the era where everyone's obsessed with AI-generated code, we've somehow reached a point where humans writing code is the exception that needs its own special term. It's like how "organic" became a thing when processed food took over, or how "acoustic guitar" only exists because electric guitars showed up. Now we need to specify when code comes from an actual human brain instead of a language model. The term "rawbraining" perfectly captures that unfiltered, unassisted, pure human cognitive struggle of turning caffeine and stackoverflow tabs into working software. The best part? In a few years, saying "I rawbrained this entire feature" might actually become a flex in developer circles. "Yeah, no Copilot, no ChatGPT, just me, my IDE, and crippling self-doubt."