AI Broke Generational Trauma

Every repo now has a CLAUDE.md file explaining how to use AI assistants to work with the codebase, while the actual README.md documentation drowns in neglect. Because why write docs for humans when you can write docs for your AI overlords? The priorities are crystal clear: Claude gets the VIP treatment with detailed instructions, and the README.md gets whatever oxygen bubbles make it to the bottom of the pool. Documentation for developers? That's so 2023. Documentation for LLMs? Now that's innovation.

THE ABSOLUTE STATE OF MODERN PROGRAMMING! 😭 Look at us, the so-called "tech geniuses" of our generation, reduced to begging AI overlords to fix our punctuation! I'm literally sitting here at 2AM, staring into the void, wondering if my entire career has come down to asking ChatGPT "pretty please add the semicolon I was too lazy to type." The semicolon - that tiny punctuation mark standing between me and functional code - and I've outsourced even THAT responsibility! Next thing you know, I'll be asking it to breathe for me because manual respiration seems like such a chore! The future is here, and it's pathetically hilarious!

The secret to tech wealth in 2025? Just slap "AI" on literally anything! Remember when we called them "scripts" and "automation"? Now they're "autonomous agents" with a 500% markup. Next week I'll be renaming my if-statements to "neural decision nodes" and retiring to my private island. The venture capital money practically throws itself at you!

You ask for proper design documentation—wireframes, user flows, component libraries, maybe some accessibility guidelines—and instead you get a requirements doc that looks like it was generated by an AI that learned UX from reading fortune cookies. The brutal contrast here is *chef's kiss*: one side is desperately pleading for actual design specs, while the other side casually hands over what can only be described as generative AI word vomit wrapped in a Google Doc. The term "slop" has become the perfect descriptor for low-effort AI-generated content that technically exists but provides zero actual value. It's like asking for a Figma prototype and getting back a ChatGPT hallucination formatted as a PRD. The design team probably spent 5 minutes typing "create a requirements document for our app" into some AI tool and called it a day, while you're left trying to build an actual interface from what essentially amounts to corporate lorem ipsum.

Every AI startup founder on LinkedIn acting like they've invented cold fusion when they've just wrapped the Anthropic API in a Next.js app with some Tailwind buttons. The rainbow and sparkles really sell the "revolutionary" part of their pitch deck. Meanwhile, the rest of us are sitting here knowing they're charging $99/month for what's essentially a glorified API call with a UI. But hey, gotta secure that Series A somehow, right?

So NVIDIA decided to pivot from "let's make gaming affordable" to "let's sell every GPU to AI companies for 10x the price." Gamers are out here refreshing Best Buy at 3 AM hoping to snag a GPU that doesn't cost more than their car, while Jensen Huang is literally swimming in AI money like Scrooge McDuck. The irony? GPUs were literally designed for graphics processing (hence the name), but now they're too busy training ChatGPT to write your emails to actually, you know, render your games. Gamers wanted ray tracing; instead they got the privilege of watching their dream GPU get shipped to some data center to train an AI model that generates images of cats wearing hats. Can't really blame NVIDIA though—why sell a $500 GPU to a gamer when you can sell a $30,000 H100 to OpenAI? Economics 101, baby. RIP affordable PC gaming, 1981-2023.