Thanks Copilot

Someone asked ChatGPT to count days of the week containing the letter "d" and it confidently listed Monday, Wednesday, Thursday, and Friday. Spoiler alert: it missed Tuesday, Saturday, and Sunday. That's 3 out of 7, or roughly a 57% failure rate on a task a kindergartener could nail. Yet somehow CEOs are out here thinking this is the tech that'll replace entire engineering teams. Nothing screams "I understand AI capabilities" quite like watching an LLM fail basic pattern matching while your exec team plans layoffs. The irony? The AI couldn't even count the letter "d" correctly in a seven-item list, but sure, let it architect your microservices. What could possibly go wrong? 🙃

Kingdom Come Deliverance 2 apparently got some flak for using AI-generated voiceovers, and the gaming community's reaction is basically "nobody's cool... except indie devs who somehow resist the siren call of AI automation." It's wild how we've reached a point where NOT using AI is the flex. Like, imagine telling a developer from 2015 that in the future, manually doing work would be the chad move. The bar has literally inverted itself – we went from "look how much we automated!" to "look, we actually paid humans!" It's giving very strong "I use Arch BTW" energy but for game development. The indie devs out here hand-crafting dialogue like artisanal sourdough while AAA studios are speedrunning the AI pipeline.

The classic developer rage-quit speedrun. Threatens to nuke the entire project and cancel their Codex subscription at 12:35 PM because nothing makes sense anymore. Then, exactly 1 hour and 41 seconds later, they crack it. The emotional rollercoaster from "I'm done with programming forever" to "I'm a genius" in under two hours is the most relatable developer experience. That timestamp precision though—someone was definitely watching the clock during their debugging spiral, probably refreshing Stack Overflow every 30 seconds.

So you thought AI coding assistants would make you a 10x developer? Think again, bestie. Instead of shipping features at lightning speed, you spent two weeks playing whack-a-mole with an overzealous LLM that decided to "help" by rewriting half your codebase in ways that technically compile but spiritually hurt. The promise was beautiful: AI would autocomplete your dreams into production-ready code. The reality? You're now a professional code janitor, armed with git revert commands, cleaning up after a robot that watched too many YouTube tutorials and got a little too confident. Your sprint retrospective is just going to be you staring into the void while muttering "the machines were supposed to free us" over and over again.

Someone asked how they knew this dev was using Codex (GitHub's AI code generator), and honestly, the evidence is damning. The function checks if something is a string by... checking if it's a string, then checking if it's an instance of String, then checking if it has a length property (because apparently strings weren't stringy enough yet), and if ALL of that fails, it returns true anyway. It's like writing a function to check if water is wet by testing if it's liquid, transparent, and makes things damp, then concluding "yeah probably wet." The beautiful irony? After this Olympic-level mental gymnastics routine, the function basically just returns true for everything except null and undefined. Could've been return value != null and called it a day. But no, AI decided we needed the director's cut with deleted scenes and commentary track.