On The Same Boat

Looks like GitHub Copilot just went full 1950s mode! Two functions side by side: one for men that returns the salary unchanged, and another for women that returns 90% of the input. Copilot didn't just write code—it accidentally coded up the gender pay gap! This is what happens when your AI learns from historical data without an ethics class. The machine isn't biased... it just perfectly mirrors our messed-up world. Maybe the next update should include a "modern society" plugin.

Ah, the classic LinkedIn clickbait switcheroo! Someone's proudly announcing their addiction to the "PORN stack" - which turns out to be P ostgreSQL, O penAI, R eact, and N ext.js. The perfect tech stack for your resume and guaranteed heart attacks for HR departments everywhere. Bonus points for the 703 reactions from developers who nearly spat out their coffee before realizing it's just another tech acronym. Job recruiters must be having a field day with their keyword searches!

The eternal battle between humans and AI summed up in one glorious exchange. While ChatGPT smugly cranks out flawless code in milliseconds without a single itch, the human developer proudly announces their victory in the most primal way possible. The true competitive advantage of humanity? Multitasking capabilities that Silicon Valley hasn't figured out how to replicate yet. Take that, machine learning!

Putting on glasses to transform from "LLM Engineer" to "Knows about openai, anthropic and google-genai package" is peak tech industry smoke and mirrors. It's like calling yourself a "Cloud Architect" because you once deployed a WordPress site to AWS. The glasses don't add intelligence—they just help you see through the BS of your own job title. Next time someone introduces themselves as an "LLM Engineer," ask them if they can actually explain a transformer architecture or if they just know how to copy-paste API keys.

Ah, the classic Medium experience. Shows up all excited with pizza (free articles), only to discover the place is literally on fire with paywalled content, AI garbage, and people yelling at each other about tech stacks. Yet we keep coming back like digital masochists. The "Stop using X" articles are particularly chef's-kiss terrible—written by someone who used the technology for exactly 37 minutes before declaring it "fundamentally broken."

The duality of AI in the development lifecycle is painfully accurate. Junior devs are celebrating like they've discovered fire – "Look ma, no hands!" – while generating code they barely understand. Meanwhile, senior developers stare into the existential void as they're forced to review the AI-generated spaghetti mess. That thousand-yard stare says it all: "I've seen things... terrible things... like nested ternaries and 200-line functions named 'doStuff'." The circle of programming life continues – AI just made the mess arrive faster.