Notch Vibing

Visual Studio Code from the future is apparently just an AI delivery system now. The "many updates" in the March 2025 release can be summarized as: AI, AI, AI, AI, AI, and... wait for it... AI! Microsoft's subtle approach to feature diversity is truly inspiring. Why bother with performance improvements, bug fixes, or new developer tools when you can just repeat "AI" six times and call it a day? Coming in version 2.0: Your code now writes itself while simultaneously reporting everything you do to Skynet. But hey, at least it autocompletes your semicolons correctly!

Welcome to the dystopian hellscape where developers have collectively decided that understanding their own code is SO last season! Why waste precious brain cells reading through logic when you can just summon your AI overlord to do the heavy lifting? The descent into madness is GLORIOUS: First, you're all professional and composed—"Hey, the AI output looks pretty solid!" Then you slip into full clown mode, casually admitting you've completely abandoned reading your own codebase. But wait, it gets BETTER. Now you're outsourcing code reviews to ChatGPT like it's your senior engineer. And the final stage? Pure confusion when the AI suggests wrapping everything in a try-catch because apparently error handling is just a vibe now. We've reached peak absurdity where "should try out" is developer-speak for "I have no idea what this code does but the robot said it's fine so ship it!" 🤡

Waterfall development starts with just wheels and slowly builds into a complete car, one piece at a time, in sequential order. Can't back up, can't change direction. Hope you spec'd the right vehicle. Agile takes a different route - start with a skateboard, then scooter, bicycle, quad bike, and finally a car. Each iteration is actually usable, unlike those lone wheels from waterfall. Then there's AI development: throw in Wacky Races' Mean Machine with three normal cars. Because nothing says "cutting edge technology" like randomly generating a monstrosity and hoping it doesn't kill anyone on the highway.

When your machine learning course gets too intense, so you take it to the next level—literally. This is what happens when someone takes "deep learning" a bit too literally. While neural networks are diving into layers of abstraction, this person is diving into a pool with their textbook. The irony is palpable—studying underwater won't make your AI algorithms any more fluid, but it might make your textbook unusable. Next up: "reinforcement learning" at the gym and "natural language processing" by shouting at trees.

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.

Oh how the mighty have fallen! Remember when being told your code looks "machine-generated" was a compliment? Now we've come full circle where both human-written AND AI-generated code get thrown in the same dumpster fire. The ultimate burn isn't comparing your code to a rookie's anymore—it's saying it has that distinct "I asked ChatGPT at 2AM and didn't review it" energy. The real tragedy? The garbage collector can't save either one.