Copilot Has Ruined Code Reviewing For Me

Simple task: print numbers 1-10. Developer asks ChatGPT to do it. Instead of a basic loop, it delivers a recursive function. "Not bad," thinks the developer, and asks for optimization. ChatGPT's response? "Let's spawn threads for each recursive call!" The result is computational chaos—a CPU-melting, fan-screaming disaster that turns a 3-line solution into a parallel processing nightmare. It's like asking for a screwdriver and getting a nuclear-powered jackhammer with rocket boosters. Classic AI overengineering at its finest!

The AI assistant lifecycle in six painful acts. First, AI screams it has the "BEST SOLUTION TO YOUR PROBLEM!" Then you explain "IT IS NOT WORKING." The AI pivots: "OKAY, TRY THIS APPROACH INSTEAD!" But it's "NOT EVEN CLOSE TO WHAT I NEED." The AI proudly declares it "WORKS ON MY DATASET!" before you finally storm off muttering "WILL DO IT MYSELF." It's the modern version of "works on my machine" except now we're gaslighted by a model trained on StackOverflow instead of a coworker who refuses to admit their code is broken. The circle of tech life continues...

Modern programming has evolved from rigid methodologies to whatever fever dream this is. Left side: someone asking about "vibe coding" like it's an actual paradigm. Middle: a developer who learned SOLID principles from anime examples instead of textbooks and somehow still functions. Right side: the enlightened one who's given up on architecture entirely because "AI will handle it." The three horsemen of the coding apocalypse. For those wondering, SOLID is actually a set of object-oriented design principles (Single responsibility, Open-closed, Liskov substitution, Interface segregation, Dependency inversion). But sure, explain it with anime characters. That'll stick.

When your boss says "we need to implement machine learning" but all you really need is a simple if-statement. The eternal struggle of devs everywhere - getting asked to use a sledgehammer when a regular hammer would do just fine. The math behind ML is the unsexy reality nobody wants to talk about at standup.

The Nobel Committee turning its back on actual computer science to ogle traditional physics is the academic equivalent of your crush ignoring your perfectly engineered app to date someone who can explain why apples fall from trees. Quantum computing? Machine learning breakthroughs? Nah, let's give another medal to someone who found a slightly different way to measure gravity. Meanwhile, the folks revolutionizing how we process information are left swiping through job postings that require "5+ years experience in a framework released last Tuesday."

The expectation vs reality of AI coding assistants in a nutshell. Everyone's hyping different AI models, but they're all just regurgitating the same Stack Overflow answers and GitHub repos with slightly different syntax highlighting. Notice how all four implementations have identical logic? That's because no matter which AI overlord you pledge allegiance to, they've all been trained on the same Rust code snippets. It's like four college students copying the same homework but changing the font to avoid detection. The real innovation here is how many different ways they can add comments to the same algorithm while making you feel like you're getting unique, cutting-edge assistance. Revolutionary stuff.