What is vibe coding, and should my business bet on it?

Question

VX-N · Accepted Answer

Vibe coding is describing what you want to an AI and accepting the code it writes without reading it. It is real, it is fast, and for prototypes it is genuinely useful. The line to hold: a vibe-coded prototype is evidence, not infrastructure. The moment it touches customer data, payments, or anything that must keep running, someone accountable has to read the code. The term is worth defining plainly because it gets used both as a boast and as an insult. Vibe coding means driving a build entirely through conversation — you describe the outcome, the AI writes the code, you look at the running result rather than the source, and you keep prompting until the screen does what you wanted. The code itself goes unread. That is not an exaggeration of the practice; it is the practice, and the tools built around it — the app-builder platforms, the agentic coding assistants — are explicitly designed so a non-programmer never has to open the source. Give it its due, because the honest version of this page is not a warning label. Vibe coding is the fastest route ever built from an idea to something clickable. An operator can produce a working mock of the tool they have been describing to vendors for years — in an afternoon, at no meaningful cost. As a way of discovering what you actually want, it beats a requirements document by a wide margin: the fourth prototype teaches you things about your own process that no workshop would have surfaced. Used this way, a vibe-coded build is genuinely valuable. It is evidence — of the workflow, the screens, the objects, what you reach for first. The line is crossed when the prototype gets promoted, and it happens by drift rather than decision: the demo works, someone starts entering real customer records, someone connects the payment provider, and now unread code is infrastructure. Unread code means nobody knows whether permissions are enforced anywhere real, whether the data model can survive its first migration, whether secrets are sitting in the client, or what happens under load — not because AI code is bad, but because nobody looked. The prototype did not get worse; the stakes changed and the diligence did not. Add the obligations that arrive with real personal data — PIPEDA, and Quebec Law 25 if you touch Quebec — and 'nobody has read the code' becomes a sentence you do not want to say aloud. VX-N's position is not a defense of the old way — we build at vibe-coding speed, with AI writing most of the code, which is how a first deliverable lands within 24 hours of the first call. The difference is production discipline on top: the data model designed before generation, permissions enforced at the data layer, integrations treated as contracts, and every line reviewed by someone accountable before it meets a real customer. Bring us a vibe-coded prototype and we will treat it as what it is — the best requirements document you could have made. The call and the 24-hour plan cost you nothing.