Software Engineering Is Dead

This flowchart is basically every developer's internal monologue when production breaks. The logic is flawless: if it works, don't touch it. If it doesn't work but you didn't touch it, clearly you're an idiot for even being near it. The real genius move is the "CAN YOU BLAME SOMEONE ELSE" decision node—which, given the title "Blame AI," has found its newest scapegoat. In 2024, AI has officially joined the ranks of "the intern," "legacy code," and "it worked on my machine" as the ultimate excuse for bugs. Why debug when you can just say "ChatGPT generated this function" and watch everyone nod sympathetically? The flowchart's path to "NO PROBLEMS" through hiding it or blaming others is disturbingly accurate. If nobody knows it's broken, is it really broken? Schrödinger's bug, if you will. The "WILL YOU GET INTO TROUBLE?" branch leading to "PASS THE BUCK" is corporate survival 101. Junior devs take notes: this is the real algorithm they don't teach you in CS class.

Remember when you'd post a genuine question on Stack Overflow and within minutes someone would mark it as duplicate, tell you to read the documentation, and close it before you could even respond? Good times. Now with ChatGPT and AI assistants, Stack Overflow is basically that old man yelling at clouds while the kids have moved on to getting their answers instantly without the side of condescension. The platform that built its empire on gatekeeping knowledge is watching developers quietly slip away to tools that actually... help them. The irony? Stack Overflow's toxic culture of "RTFM" and "marked as duplicate of a question from 2009 that doesn't answer your problem" basically trained us to desperately want ANY alternative. They had one job: be helpful. Instead, they became the programming equivalent of that DMV employee who enjoys telling you you're in the wrong line.

Nothing says "I hate my coworkers" quite like nesting 20 ternary operators deep. You're sitting there doing code review, squinting at the screen like Tony Stark trying to decode alien technology, except instead of saving the universe you're just trying to figure out if this function returns true, false, or summons a demon. And of course the commits are cosigned by Claude. Because naturally, when you ask an AI to write "clean code," it interprets that as "make it technically work but emotionally devastating." Junior devs and AI assistants share one beautiful trait: they both discovered ternary operators exist and decided to make it everyone else's problem. Pro tip: if your ternary needs a scroll bar, it's not clever—it's a cry for help. Just use an if statement like a normal person. Your future self will thank you.

Someone just asked an AI chatbot how to upload their app to the wifi. Not to the web. Not to the cloud. To the wifi . This is what happens when your product manager's mom gets ahold of ChatGPT and decides she's going to "help" with deployment. The model's sitting there on "Opus 4.8 Medium" probably calculating whether it should explain networking fundamentals or just suggest turning it off and on again. Somewhere, a DevOps engineer just felt a disturbance in the force.

The 1080 Ti refuses to die. While its younger, more expensive siblings—the RTX 5080, 4080, and 3080—stand tall and proud with their ray tracing and DLSS buzzwords, the 1080 Ti just keeps chugging along like that one server in the closet nobody wants to touch. Released in 2017, it's still running modern games at 1080p/1440p like it's got something to prove. Meanwhile, crypto miners treated it like royalty, gamers held onto it through the GPU shortage apocalypse, and it's now worth more used than some new cards cost at launch. The little legend that could—and still does.

Nothing says "we love our users" like dropping a free AI feature that immediately sets fire to your data center. Those poor GPUs, running at 110°C, fans screaming like they're auditioning for a metal band. Meanwhile, DevOps is frantically calculating the electricity bill while the marketing team high-fives over user engagement metrics. The best part? The feature probably could've been implemented with a simple if-statement, but hey—gotta justify those VC millions somehow!