How Much Does Vibe Coding Cost? Prototype, MVP and Cleanup

“How much does vibe coding cost?” has two answers. Doing it yourself costs a monthly tool subscription and your time. Getting a product built with AI that is safe to put in front of customers costs engineering time, and that is where most of the budget goes.

This guide breaks the cost down by stage (prototype, MVP and cleanup of an existing AI-built app), explains what drives the price at each stage, and lists the costs people forget.

The three stages, and what each one buys

As a guide, most first projects fall into one of three sizes: a proof of concept in 1 to 3 weeks, an MVP in 4 to 10 weeks, or a production release from 12 weeks. AI shortens the drafting inside each of those, not the decisions, reviews and testing around it.

What makes vibe coding projects cost more, or less

1. Scope, measured in flows, not screens. A flow is something a user does from start to finish: sign up, book, pay, invite a colleague. Each flow needs its own logic, data and tests. Ten screens that serve one flow cost less than four screens that serve four.

2. Integrations. Payments, email, calendars, maps, CRMs and AI APIs each add setup, error handling and testing. They are also where AI-generated code most often breaks under real conditions.

3. Data and permissions. An app with one kind of user is simpler than one with customers, staff and admins who each see different data. Getting access rules right is not optional, and it takes engineering time.

4. How much of an existing app can be kept. For cleanup work this is the biggest factor. If the structure is sound, the work is targeted fixes. If the data model was invented one prompt at a time, part of the app may need rebuilding first. An audit tells you which before you commit to a budget.

5. Compliance. Health, finance and children’s data bring extra requirements for security, logging and hosting. Plan for them from the start; adding them later costs more.

The costs people forget

• AI tool and API usage. Subscriptions are cheap, but usage credits and AI API calls grow with every prompt and every user. Set limits and watch them.
• Hosting and third-party services. Database, file storage, email sending, error logging and monitoring each have their own bill.
• Rework. An AI-built app that goes live without review often needs fixing after users depend on it, which is the most expensive time to fix anything. Our article on whether vibe coding is safe for production covers the usual problems.
• Maintenance. Dependencies need updates, security patches keep coming, and users ask for changes. Budget for it every month after launch.
• Your own time. Doing it yourself is not free: every hour of prompting and debugging is an hour not spent on customers.

How to keep the cost down

1. Prototype first, and keep it small. Build only the flow that proves the idea. Test it with real users before you pay for anything else.
2. Decide early what goes to production. Use our AI prototype to production checklist to see what a launch-ready app needs.
3. Get the data model reviewed before you build on it. It is the most expensive part to change later.
4. Put tests on the flows that matter. They stop every new prompt from breaking something that already worked.
5. Ask for a written estimate with milestones, so you know what each stage costs before it starts.

How we price vibe coding work

We price after a short scoping conversation rather than from a rate card, because the cost depends on what you need built or fixed. There are three ways to work with us: a fixed-scope project with an agreed timeline and budget, a dedicated team billed monthly, or engineers added to your own team. For an existing AI-built app, the vibe code audit and cleanup starts with the audit, so the estimate is based on what is actually in the code.

Tell us what you want to build or fix on our vibe coding services page, and an engineer will reply within one business day with the first step and a scoped estimate.