Machine Loorning: The Self-Perpetuating Cycle Of Bad Code

The ultimate video compression algorithm! This dev created a function that identifies and removes "unnecessary" frames from movies—and apparently decided that 99.9999% of Fast & Furious is just excessive explosion footage. The algorithm is technically correct (the best kind of correct)—if you strip out everything except the plot, you're left with approximately 0.042 seconds of content. Reminds me of that time I optimized our codebase by deleting all the comments, whitespace, error handling, and user interface. Ship it!

That face when the junior dev confidently explains an AI-generated pull request that's 90% hallucinated features and 10% actual code. The smug little smile says it all: "I totally understand what's happening here" while internally panicking about what await Promise.resolve(undefined).then(() => Math.random() > 0.5 ? 'success' : throw new Error('oops')) is supposed to accomplish. The code review is scheduled for 3pm and Stack Overflow is already open in 17 tabs.

Ancient Egyptians built massive pyramids with nothing but stone tools and manpower. Meanwhile, modern developers need sixteen JavaScript frameworks, three cloud subscriptions, and a $3000 MacBook Pro with 64GB RAM just to center a div. And they still complain about the Wi-Fi being slow.

Content I'm going to use ChatGPT to write this document and replace "(Price]" with "$2.50" Every instance of P, r, i, c, e is the second capture group followed by ".50"

The classic "signs of a stroke" medical diagram gets a programmer twist with "if u can't more productive with AI its skill issue" replacing "incoherent speech." Ah yes, nothing says "I'm having a mental breakdown" quite like blaming your inability to leverage AI on your own incompetence. The grammatical errors really sell it too. That's the kind of nonsensical garbage you'd type right before your brain completely shuts down from 72 straight hours of debugging.

The uncanny parallel between gambling addiction and our newfound AI dependency is frighteningly accurate . On the left: traditional gambling. On the right: the modern developer's slot machine—AI prompting. Both promising quick riches while delivering mostly disappointment. The self-delusion is identical. "One more spin" becomes "one more prompt." The house always wins, but in coding, it's your cursor (and the AI companies collecting your prompts). My favorite part? That moment of clarity when you realize you've spent 3 hours prompt-engineering something you could've coded in 20 minutes. It's like waking up in Vegas with empty pockets and a newfound appreciation for your day job.