Most people think the barrier to automation is technical skill. It isn't. The real barrier is knowing what you want badly enough to bother building it. A year ago, "vibe coding" -- describing what you want in plain English and having AI write the code -- felt like a parlor trick. Today it's good enough to turn your everyday irritations into working systems. But AI is wasted on people who don't know how to want. If you use it like search, you'll get slightly better Googling. If you use it like a translator for your intent, you can redesign parts of your life. The first skill isn't syntax. It's imagination. Audit your day. What do you repeat? What dull tasks have you normalized so thoroughly they've become invisible? What 15min daily copy-paste ritual is quietly stealing a hundred hours a year while you shrug and call it "just part of the job"? Programmers call it DRY: Don't Repeat Yourself. Before you write a line of code, make a list of annoyances. Start small. Smaller than you think is respectable. Small is testable. Small compounds. The second skill is supervision. You don't need to understand every line of code. You do need to break wishes into bite-sized pieces, test cautiously, and ask the model to explain its own output back to you in plain English. Treat AI as a translator, not an oracle. We're entering a phase where the advantage won't go to the fastest coders. It'll go to the people who can specify clearly, question relentlessly, and imagine better systems. ⚡ The wanting is the real work. ⚡ If you're non-technical but curious, I wrote a practical walkthrough of how to get started (and how to sidestep the obvious pitfalls): https://lnkd.in/eC-qvFMp #DecisionIntelligence #vibecoding #ai
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