I Said What I Said

Content My teacher when I print goodbye world instead of hello world

Ah, the modern programmer's greatest alibi. "My model's thinking" has replaced "code's compiling" as the perfect excuse to stare blankly at nothing while your manager hovers nearby. The beauty is in the plausible deniability. Your LLM could be solving world hunger or generating cat pictures—nobody knows! And that 20-minute "thinking" phase? Could be processing terabytes of data or just stuck in an infinite loop. Either way, you're off the hook. Ten years in the industry and I've seen the excuses evolve from "the build's running" to "Docker's updating" to this masterpiece. Progress!

Witnessing someone code on a plane without internet is like watching a cryptid in the wild. No Copilot whispering sweet autocomplete nothings? No frantic Stack Overflow tabs? No documentation? Just pure, unfiltered brain power and error messages? This person is either a coding wizard from the ancient times or has memorized the entire MDN documentation. The rest of us can barely remember our own API endpoints without Googling them seventeen times. Honestly, if you can debug without AI assistance in 2025, you're basically a superhero and should be studied by scientists.

The initial joy of getting 10,000 lines of AI-generated code in minutes quickly transforms into the crushing reality of what comes next. That smiling face knows what's coming - endless refactoring sessions, security vulnerability patches, and explaining to management why that "instant solution" needs two years of cleanup. It's the coding equivalent of ordering fast food and then dealing with indigestion for days. The technical debt interest rate is brutal, and Hide-the-Pain Harold knows it!

When your AI-powered project becomes a Frankenstein's monster that even AI can't fix... That's when you know you've created something truly special. This dev built a 30-file Python monstrosity with zero Python knowledge, using Claude as their coding sidekick. Now Claude's having an existential crisis trying to understand the spaghetti code it helped create. The irony is delicious - AI was supposed to replace programmers, but it turns out you still need actual programming skills to tell the AI how to clean up its own mess. This is like asking a toddler to babysit itself and then wondering why the house is on fire.

Someone's school just accidentally exposed the entire LLM prompt to students! The screenshot shows the system instructions for an AI teaching assistant that's supposed to give hints without providing full answers. It's literally telling the AI to say "Nice Job!" if answers are close and "Try Again!" if they're wrong. This is like catching your teacher with their answer key hanging out of their pocket. The digital equivalent of finding the "How to Pretend You're a Good Teacher" manual left open on the desk. Whoever configured this system just gave students a behind-the-scenes peek at how the AI sausage is made!