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TL;DR: Vibe coding is building software by describing what you want to an AI and steering it, rather than hand-writing every line. For product designers it's a genuine superpower for turning ideas into real, interactive, testable products fast. Just don't confuse a working prototype with production-ready software.
The term describes a loose, conversational way of building: you prompt an AI for what you want, run it, react to the result, and refine — letting the model handle most of the syntax. You're directing outcomes more than writing code line by line.
It collapses the distance between an idea and something you can actually click. Instead of static mockups, you can put a real, interactive prototype in front of users — which tests interaction, timing, and feel in ways a flat design never will.
Prototypes, internal tools, landing pages, and proofs of concept — anywhere speed and learning matter more than long-term maintainability. It's the fastest way I know to pressure-test a product idea in the real medium.
Production software needs things vibe coding glosses over: security, edge cases, performance, accessibility, and maintainability. AI-generated code can be subtly wrong in ways that bite later. For anything real, an engineer still needs to own the codebase.
I vibe-code to prototype and to communicate intent — a working demo beats a spec every time. Then, for production, that prototype becomes a reference for proper engineering, not the shipped product itself.
Do I need to know how to code to vibe code? Less than before — but understanding the basics makes you far better at steering and spotting when the AI is wrong.
Can I ship vibe-coded products? For prototypes and small tools, yes. For real products, treat it as a starting point, not the finish line.
Carlos Lastres is an Apple Design Award–winning product designer and software engineer in Tokyo who works hands-on with AI tools to design conversion-focused products.