An MVP Built by Vibe Coding: From Idea to Working Prototype

Vibe coding changes this task more than any other: idea to something working is now days rather than weeks. Here is where that speed is real and where it is deceptive.

What genuinely assembles quickly

• An interface over ready services. A form, a list, a card, simple logic. The fastest of all.
• Internal tools. An admin panel, an operator console, report assembly. Few users, low presentation requirements.
• Integrations and glue. Pull from one service, transform, put into another.
• A prototype to test an idea. The job is to demonstrate a flow, not to withstand load.
• Scripts and one-off tasks. Close to the ideal use of the approach.

What does not speed up equally: product decisions, design, working with real users, and anything requiring you to understand what to build.

A stack that lowers the risk

The governing principle: choose the conventional. The more similar code the model has seen, the fewer corrections fall to you. An exotic framework doubles the time not because it is harder but because there is less data on it.

A practical set:

• A standard frontend framework, not a rare one.
• A ready backend instead of your own. A database, authentication and file storage out of the box are weeks you do not write. That approach is covered in the Supabase guide.
• Minimal dependencies. Each is one more thing to verify.
• Types from the start. They give the model structure and catch some errors before runtime.
• Git from day one. Not for history but for the ability to undo.

Where you will still write by hand

An honest list of places where the speed is deceptive:

Authentication and access rights. The model writes code that looks right. A permissions error does not show in the interface: the product works exactly until the day somebody sees somebody else’s data.

Payments. Handling the payment provider webhook, idempotency, order states. A repeated webhook must not charge twice - see idempotent pipelines.

Money and inventory. Anything requiring consistency under concurrent operations.

Personal data. What is stored, where, and how it is deleted. A legal question rather than a technical one.

Anything that cannot be verified by running it. With no way to see the error, you will not see it.

The general rule: assembly is fast where mistakes are visible immediately and deceptive where mistakes are quiet.

When to bring in a developer

Not by code complexity but by the cost of a mistake. The markers:

• Money appeared: payments, subscriptions, balances.
• Personal data appeared.
• Users you cannot afford to lose appeared.
• The prototype needs to become a product: load, reliability, support.
• Nobody on the team can judge whether the code is correct.

The last one outweighs the rest. A prototype nobody can read is a liability, not an asset.

A sensible order

1. A prototype by vibe coding - check that anybody wants the idea.
2. Show it to people and collect feedback. Most prototypes die here, which is a healthy outcome that saved months.
3. Rewrite what survived as a product, with attention to permissions, payments and data.

The most expensive mistake: shipping the prototype as a product because “it already works”. It works for you, on three test records.

An approach to building an MVP on a defined timeline is on the blog: an AI MVP in 30 days. If you want the result rather than the explanation, see services. The overview is in the vibe coding guide.