When Developers Use AI

The Windows Recycle Bin peacefully evolved for decades, minding its own business. Then Microsoft decided to start throwing Microsoft Teams and Copilot in there, because apparently that's where they belong. The joke writes itself when your own users are already planning which of your new products will end up in the trash before they even ship. Fun fact: The 2025 Teams icon and 2026 Copilot icon are already being pre-emptively deleted by developers who just want their IDE to open without launching seventeen AI assistants and three chat clients.

The perfect excuse for slacking off has evolved over the decades. First it was "my code is compiling" (the classic), then "my AI is training" (the upgrade), followed by "my LLM is thinking" (the premium model), and now we've come full circle back to "my code is compiling" because why fix what isn't broken? The longer the wait time, the longer you can sip coffee and stare blankly at your screen while your manager slowly loses their will to question you. Nature's perfect defense mechanism for developers in the wild.

Someone really said "let's use GPT-5.2 to power a calculator" and thought that was a good idea. You know, because apparently basic arithmetic needs a multi-billion parameter language model that was trained on the entire internet. It's like hiring a neurosurgeon to put on a band-aid. The calculator probably responds to "2+2" with a 500-word essay on the philosophical implications of addition before reluctantly spitting out "4". Meanwhile, your $2 Casio from 1987 is sitting there doing the same job in 0.0001 seconds while running on a solar cell the size of a postage stamp. But sure, let's burn through enough GPU cycles to power a small town so we can calculate a tip at dinner. Innovation.

Nothing activates a programmer's fight-or-flight response faster than hearing "You're absolutely right" from someone who's been arguing with them for the past hour. It's like your brain short-circuits because you've been conditioned by years of debugging, code reviews, and Stack Overflow arguments to expect resistance at every turn. But when AI casually drops this phrase? Your hand moves on its own. The AI has been confidently spewing hallucinations, generating broken code, and insisting that its solution works despite all evidence to the contrary. Then suddenly it pivots with "You're absolutely right" like it knew the answer all along, and you're left wondering if you just wasted 30 minutes arguing with a statistical parrot that agrees with literally everything when cornered. The worst part? The AI will say this while simultaneously providing a completely different solution that contradicts what you just said. It's gaslighting with extra steps and a cheerful tone.

The evolutionary scale of debugging techniques laid bare! At the top, we have the panicked screaming of devs using StackOverflow and ChatGPT - frantically searching for someone else who's encountered their exact error message. But then there's that rare specimen - the dev who calmly reads official documentation to solve problems. The absolute madlad sitting there with a smug grin, methodically understanding the system instead of copy-pasting random solutions. It's like finding a unicorn in the wild. Who actually reads the manual? Next you'll tell me they write comprehensive comments and follow naming conventions too!

The AI assistant lifecycle in six painful acts. First, AI screams it has the "BEST SOLUTION TO YOUR PROBLEM!" Then you explain "IT IS NOT WORKING." The AI pivots: "OKAY, TRY THIS APPROACH INSTEAD!" But it's "NOT EVEN CLOSE TO WHAT I NEED." The AI proudly declares it "WORKS ON MY DATASET!" before you finally storm off muttering "WILL DO IT MYSELF." It's the modern version of "works on my machine" except now we're gaslighted by a model trained on StackOverflow instead of a coworker who refuses to admit their code is broken. The circle of tech life continues...