AI is building apps for regular people now

A writer at The Verge sent Gemini a prompt about her garden and came back five minutes later to find a working app in her browser window. There was also a bug. The error said, "Channel is unrecoverably broken and will be disposed!" She clicked a button. In 233 seconds Gemini reported it was done, using words like "blockages" and "race conditions." She didn't understand either one. But the app worked.

This is the new wave of "vibecoding" — building functional apps with plain English prompts instead of lines of code. The tool catches its own mistakes and asks you to approve fixes. You don't need to know how it works, just what you want it to do. The writer says this was her second or third attempt. That's the thing about AI tools: they're good enough now that you can iterate fast enough to get close, even if you're not a developer.

For working families, this is quietly important. The cousin who runs a side business, the auntie organizing her neighborhood's Facebook group, the parent juggling schedules — they've been waiting for tools that don't require a CS degree or a budget for a dev. When you can describe what you need in your own words and get something working, the barrier to entry drops. The app might not be perfect, but it's yours.

Why this matters for us: AI is becoming a tool that regular people can use to solve real problems without needing to learn how it works — and that means the next generation of apps will be built by us, not just for us.