The Great Developer Migration

The modern tech interview arms race has reached new levels of absurdity. "Close your eyes and answer this question" is basically the interviewer saying, "Hey AI, I know you can code, but can you see?" It's like catching someone using a calculator by asking them to high-five you. Next they'll be asking candidates to solve a CAPTCHA mid-interview or prove they're human by feeling emotions about their legacy codebase. The irony is that real developers would probably fail this test too since we're all mentally somewhere else during meetings anyway.

Squinting at "LLM Token Pricing" with confusion, then putting on glasses to see "Microtransaction For Devs" with sudden clarity. That moment when you realize OpenAI isn't selling you API access—they're selling you the gaming industry's most hated business model. "That'll be $0.002 per token to debug your code. Want to generate an entire function? That's the premium package, buddy." Next they'll be selling loot boxes with random completions. "Congratulations! You got three hallucinations and a refused response!"

You know you've made it in tech when you realize your entire job is just being middleware. Claude (or any AI tool) does the actual work, your manager takes the credit, and you're stuck in the middle translating between "can you make it pop more?" and actual executable code. The real kicker? APIs are supposed to be stateless, but here you are carrying emotional baggage from every sprint review. You're basically a REST endpoint that returns 200 OK while internally screaming 500 Internal Server Error. Fun fact: Unlike actual APIs, you don't get to deprecate yourself or return a 429 Too Many Requests when your manager Slacks you for the fifth time asking "quick question" at 6 PM on a Friday.

Google really said "let's revolutionize coding with AI!" and then proceeded to create the most EXHAUSTING onboarding experience known to humankind. You're hyped, you download it, and suddenly you're trapped in authentication hell—three login attempts like you're trying to break into Fort Knox. Then BAM, rate limited after 5 prompts because apparently Google thinks you're trying to speedrun the singularity. And the cherry on top? Rumors swirling that Google's own engineers aren't even allowed to use their own creation. The absolute BETRAYAL. So naturally, you crawl back to VS Code with your tail between your legs, defeated by corporate bureaucracy once again. Sometimes the old reliable just hits different.

Remember when we spent hours implementing binary trees and sorting algorithms from scratch? Now there's a line of developers sprinting toward ChatGPT while the "Data Structures & Algorithms" door collects dust. Why bother with Big O notation when you can just prompt engineer your way to a solution? The irony is we still need those fundamentals to understand if ChatGPT's code will crash and burn in production. But hey, who has time for that when deadlines are yesterday?

Remember when AI engineers actually had to understand math? The top half shows the glory days of hand-crafted algorithms and weeks of debugging custom gradient descent. The bottom half is just us typing "make AI do the thing" into ChatGPT and calling ourselves engineers. We've gone from spending months fine-tuning decision trees to spending minutes fine-tuning our prompts. The muscles have atrophied, but hey, at least we can ship "AI innovation" before lunch now.