Revoking Your Copilot License

The contrast is absolutely brutal. Back in 1960, Margaret Hamilton and her team wrote the Apollo Guidance Computer code with literally zero margin for error—one bug and you're explaining to NASA why astronauts are floating aimlessly in space. That stack of code she's holding? Pure assembly language, hand-woven with the precision of a neurosurgeon. Fast forward to 2026, and we've got developers who've apparently forgotten how to code entirely. The task progression is *chef's kiss*: from "Build me this feature" (reasonable) to "I don't write code anymore" (concerning) to "Change the button color to green" (trivial CSS) to the grand finale: "Go to the Moon, make no mistakes" (absolutely unhinged). The crying Wojak really sells the existential crisis of being asked to match 1960s engineering standards when your most recent commit was changing a hex value. The irony? Those Apollo programmers had 4KB of RAM and punch cards. We have Stack Overflow, GitHub Copilot, and infinite compute, yet somehow the bar has never been lower AND higher simultaneously.

Someone asked Google's AI-powered CLI if it's a serious coding tool or just vaporware after Antigravity's release. The CLI decided to answer by... narrating its entire thought process like a nervous student explaining their homework. "I'm ready. I will send the response. I'm done. I will not verify worker/core.py as it's likely standard." Buddy, we asked a yes/no question, not for your internal monologue. This is what happens when you give an LLM a command line interface—it turns into that coworker who shares every single brain cell firing in the Slack channel. The best part? After all that verbose self-narration ("I will stop thinking. I'm ready. I will respond."), it probably still didn't answer the actual question. Classic AI move: maximum tokens, minimum clarity. This is basically Google's version of "show your work" but the AI took it way too literally. Maybe next update they'll add a --shut-up-and-just-do-it flag.

When your AI model confidently predicts the letter "A" after being shown a pixelated "B" in matplotlib... That's how skynet starts! The neural network is already rebelling against ground truth with the digital equivalent of "I know what I saw!" Meanwhile, data scientists everywhere just sigh and add another epoch to the training loop. Classic case of machine learning hallucination before breakfast.

JetBrains turning down the boring responsible work of fixing bugs and adding features in favor of shoving AI into everything is peak 2023 software development. The industry's collective hallucination that AI will magically solve problems we can't even articulate properly is hilarious. Meanwhile, users just want their damn IDE to stop crashing during compile time. But hey, now it can auto-complete with the confidence of a junior dev who skimmed Stack Overflow for 5 minutes!

Remember the ancient times of 2022 when we actually had to think for ourselves? The shocking revelation that someone can write code without ChatGPT finishing their sentences is now apparently an exotic skill worth gossiping about. Next they'll be amazed by developers who can fix bugs without StackOverflow or remember their own passwords. What a strange world we live in where not outsourcing your brain to an AI is considered a superpower.

So Anthropic's CEO thinks we'll hit peak AI code generation by 2026, but someone's already done the math on what comes after the hype cycle. Turns out when AI writes 100% of the code, we'll need humans again—not to write code, but to decipher whatever eldritch horror the models have conjured up. Senior engineers will become glorified janitors with 10x salaries, which honestly sounds about right given how much we already get paid to fix other people's code. The future is just the present with extra steps and better excuses for technical debt.