Might Be True

The classic bull in a china shop, but make it tech. That's Cursor AI—the new code assistant—asking if it can bring its "friend" into your pristine codebase. Every developer who's ever let an AI tool loose on their project knows that feeling of watching it confidently rewrite your carefully crafted code into something that technically works but somehow manages to violate every coding standard you've established over the last decade. Five minutes later, you're frantically running git reset --hard while quietly questioning your life choices.

Management's brilliant solution to years of accumulated technical debt: deploy another AI agent. Because nothing says "we understand the problem" quite like throwing a shiny new tool at a codebase held together by duct tape and prayer. Meanwhile, Steiner—who's probably been telling them for months they need to refactor—sits there with the calm resignation of someone who knows exactly how this ends. Spoiler: it doesn't end well. The AI will probably generate more spaghetti code, introduce three new dependencies that conflict with existing ones, and somehow break production on a Friday at 4:55 PM.

Ah, the modern programmer's greatest alibi. "My model's thinking" has replaced "code's compiling" as the perfect excuse to stare blankly at nothing while your manager hovers nearby. The beauty is in the plausible deniability. Your LLM could be solving world hunger or generating cat pictures—nobody knows! And that 20-minute "thinking" phase? Could be processing terabytes of data or just stuck in an infinite loop. Either way, you're off the hook. Ten years in the industry and I've seen the excuses evolve from "the build's running" to "Docker's updating" to this masterpiece. Progress!

Every decade brings a new "revolutionary" way to make developers obsolete, yet here we are, still debugging at 3 AM. Visual Programming in the '90s promised drag-and-drop salvation, MDA in the 2000s swore models would auto-generate everything, No-Code platforms in the 2010s claimed anyone could build apps without writing a line. Now we've got "Vibe-Code" where you just describe what you want and AI does the heavy lifting. Spoiler alert: someone still needs to fix it when the AI hallucinates a database schema or generates a sorting algorithm that runs in O(n!). The pattern is clear—each generation thinks they've cracked the code to eliminate coding itself. Meanwhile, programmers keep getting paid to clean up the mess these "solutions" create. Job security through eternal optimism, baby.

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.

There's a massive difference between being skeptical of AI because you understand its limitations, ethical concerns, and the hype cycle versus blindly hating it because some crypto-bro-turned-AI-guru is trying to sell you a $5000 course on "prompt engineering mastery." One is a principled technical stance, the other is just being tired of LinkedIn influencers calling themselves "AI thought leaders" after running ChatGPT twice. The tech industry has a real problem with snake oil salesmen who pivot from NFTs to AI faster than you can say "pivot to video." They oversell capabilities, underdeliver on promises, and make the rest of us who actually work with these technologies look bad. You can appreciate machine learning as a powerful tool while simultaneously wanting to throw your laptop when someone pitches "AI-powered blockchain synergy" in a meeting. It's like being a chef who loves cooking but hates people who sell $200 "artisanal" toast. The technology isn't the problem—it's the grifters monetizing the hype.