Future Of Software Development If GPT Bros Win

Fixing a bug in 30 minutes? Easy peasy, disgusted face. Spending an entire workday explaining to ChatGPT what your codebase does, your business logic, and why that one legacy function from 2014 can't be touched? Chef's kiss. The irony is delicious. We've gone from "let me just fix this myself" to "let me spend 8x longer teaching an AI about all our technical debt so it can suggest the same fix I would've made anyway." Future job posting: "Senior Prompt Engineer - Must have 5+ years experience explaining code to machines that pretend to understand."

The eternal struggle of math majors who chose programming instead of the "traditional" math paths. On the left, we see the bright, colorful world of physics, machine learning, electrical engineering, statistics, and numerical analysis – all respectable career choices that utilize advanced mathematics. On the right, the noir film-style programmer, stripped of color and joy, questioning their life choices while debugging someone else's spaghetti code at 3 AM. That moment when you realize you could be solving differential equations but instead you're arguing with the compiler about why a semicolon is missing. The math degree prepared you to understand complex algorithms but forgot to mention you'd spend 90% of your time fixing indentation errors.

HONEY, PLEASE! Slapping an "AI" label on basic conditional logic is the tech equivalent of putting a Ferrari badge on your 1998 Toyota Corolla! 💅 The ABSOLUTE DRAMA of Uber claiming they're using "artificial intelligence" when they're literally just checking *if drunk_time == true && location == bar && app_fumbling > 30sec*. I. CAN'T. EVEN. 🙄 The tech industry's relationship with the term "AI" is more toxic than my ex's Instagram stories. Just because you can write an if-statement doesn't mean you've created HAL 9000, DARLING!

The grand three-act play of open source glory: Act I: Proudly announce to the world you're a contributor to a prestigious AI project. Act II: Reveal your "critical contribution" was changing messages = messages to messages = encoding in a single line of code. Act III: Transform this heroic one-line fix into a LinkedIn epic where you "led critical efforts" alongside "elite engineers." The resume inflation algorithm is the real AI breakthrough here.

When everyone's out here treating ChatGPT and Copilot like their personal coding assistants, and you're just... not. You've somehow made it through an entire year writing actual code with your actual brain, and now you're wearing that smug superiority like a badge of honor. While your coworkers are prompting their way through PRs, you're out here manually typing semicolons like it's 2019. The look says it all: "I still remember what a for loop looks like without asking an AI." Whether that's admirable or just stubborn is up for debate, but hey, at least your GitHub contributions are authentically yours.

Someone just discovered AI and decided to use it for... checking if numbers are even. You know, that incredibly complex problem that's stumped humanity for centuries and definitely requires a large language model API call instead of a simple modulo operation. The first few rows show manual answers (No, Even, No, Yes) like a normal human would do it. Then row 8 hits and suddenly it's =GEMINI("Is this number even?",A8) all the way down. Someone's burning through their API quota to solve what could've been =MOD(A8,2)=0 . This is what happens when you have a hammer (AI) and everything looks like a nail. Next week they'll probably be using GPT-4 to add two numbers together. The cloud bills are gonna be *chef's kiss*.