Likely Normal

Programmers everywhere are nervously watching GitHub Copilot autocomplete their jobs into oblivion. Gone are the days of “I’ll just Google Stack Overflow for eight hours.” Now, you just whisper your problem into ChatGPT like a digital oracle, and voilà! Code that mostly works… unless you ask it to do literally anything involving dates, math, or basic logic.

AI writes code like a overconfident intern—”Sure, I can build a full-stack app in 30 seconds!” …and then it silently forgets what a database is. You ask for a simple login page, and suddenly it’s generated 400 lines of “technically functional” spaghetti that accidentally mines Bitcoin in the background. “It’s fine,” you mutter, as you spend more time debugging its nonsense than it would’ve taken to just write it yourself.

And let’s not forget the existential dread: “Wait… is this my job now? Reviewing AI code that looks right but acts like it was trained on Wikipedia and a YOLO attitude?” Meanwhile, the AI cheerfully suggests optimizations that would make a senior dev weep—like replacing all your error handling with a try it and see what happens attitude.

In the end, AI won’t replace coders—it’ll just annoy them into early retirement. Until then, we’ll all be stuck cleaning up its digital finger paintings, one “Wait, why did it use eval() here?” at a time.