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The AI gold rush created a beautiful paradox: companies went all-in on AI tooling, hired developers based on "vibes" instead of actual skills, watched their codebase turn into spaghetti junction, then suddenly realized nobody left can actually maintain the mess. Now they're desperately hunting for devs who can, you know, actually code – but surprise, those folks are rare because the number who know what they're doing keeps shrinking while demand skyrockets. It's the tech industry eating its own tail. You can't Copilot your way out of architectural decisions, and ChatGPT won't refactor your 10,000-line God class. Turns out fundamentals still matter. Who knew?

You know what's wild? We went from "don't copy code from Stack Overflow without understanding it" to literally having an AI pair programmer that we treat like an intern we're perpetually annoyed with. The relationship developers have with Copilot is basically: "Hey buddy, you're amazing and can do anything!" followed immediately by "Now shut up and stop suggesting I import the entire lodash library for a single array operation." It's the tech equivalent of asking your smart friend for homework help and then telling them their handwriting sucks. We praise it when it autocompletes our boilerplate, then rage-dismiss its suggestions when it tries to be helpful with our actual logic. The duality of modern development: simultaneously grateful for and annoyed by the robot that writes half our code.

Employee picks the urinal with proper spacing like a civilized human being. Boss walks in and stands directly next to someone when there's an entire row of empty urinals. Classic power move or complete lack of bathroom etiquette awareness. Boss then decides the real problem isn't their questionable decision-making skills—it's that we need to "infuse AI into our products." Because nothing says innovation like ignoring basic social protocols while pitching buzzword solutions. Maybe we do need AI everywhere. Starting with an AI-powered bathroom assistant that gently reminds management about the unwritten urinal spacing rule: always leave at least one urinal gap . Could call it GPT-Pee.

Ooof, that's a spicy take right there. The distinction being drawn here is brutal but kinda true: if ChatGPT can do your job, you were probably just translating requirements into syntax like a glorified compiler. Real software engineering? That's understanding business problems, making architectural decisions that won't bite you in 6 months, mentoring juniors, debugging production at 2 AM because someone didn't consider edge cases, and explaining to product managers why their "simple feature" would require rewriting half the codebase. AI can spit out a React component or a CRUD API faster than you can say "npm install," but it can't navigate office politics, push back on terrible requirements, or know that the "temporary" hack from 2019 is now load-bearing infrastructure. The caffeine-fueled chaos goblins in the bottom panel get it—they're the ones who've seen things, survived the legacy codebases, and know that software engineering is 20% code and 80% dealing with humans and their terrible decisions.