What It Costs to Take a Vibe-Coded App to Production

You built something in Lovable, Bolt, Replit, or Cursor. It works, people like it, and now you need it to survive real users, real data, and real money. The first question everyone asks is the one almost nobody publishes an answer to: what does it actually cost to get from here to production?

Here are real numbers, the factors that move them, and the questions that tell you whether a quote is honest.

The short answer

For a typical vibe-coded MVP, expect:

The industry-wide range for audit-plus-hardening work runs roughly $1,000 to $15,000 depending on codebase size, and most apps land in the middle of it. If someone quotes you $50,000 to "fix" a straightforward SaaS MVP, get a second opinion. If someone quotes $500 for the whole job, they are planning to run a linter and call it hardening.

What actually moves the price

1. Which builder you used

This matters more than founders expect, because each tool leaves a different mess:

• Lovable / Bolt apps usually have a clean React frontend worth keeping, with the real work in Supabase security rules, secrets handling, and deployment. Mid-range cost.
• Base44 handles infrastructure for you, which means getting your app out of Base44 at all is part of the job. The export problem adds cost before hardening even starts.
• Replit projects vary wildly — the agent is autonomous, so two apps with identical features can have completely different internals. The audit matters more here.
• Cursor / Claude Code / Windsurf projects are real repos from day one, which removes the export problem entirely — but sessions-long agentic editing produces architectural drift that takes longer to untangle than builder output. See our guide on taking a Cursor app to production.

2. Whether money moves through the app

Payments roughly double the hardening scope. Webhook verification, idempotency so nobody gets double-charged, refund paths, and reconciliation are all things AI generators skip and auditors of payment flows do not. If you have Stripe wired in, budget toward the upper half of every range above.

3. How much data you already have

An app with no users can be fixed aggressively. An app with 5,000 users and no migration system has to be fixed like surgery — every schema change needs a migration path that does not lose production data. Live data adds 20–40% to most engagements.

4. Compliance requirements

HIPAA, SOC 2, or GDPR obligations move you into a different bracket entirely, because the work stops being "make it not break" and becomes "make it provably controlled." Our SOC 2 guide for AI-written code covers why.

What a real quote should itemize

An honest rescue quote names specific work, not vibes. Look for these line items:

1. Secrets and key rotation — every credential the AI hardcoded gets moved server-side and rotated, not just hidden.
2. Access control review — row-level security or equivalent, tested per role, not just enabled.
3. Input validation and constraints — at the API boundary and in the database.
4. Error handling — failure paths for every external call.
5. Deployment to infrastructure you own — off the builder's preview, with environment configuration documented.
6. A test safety net — at minimum around auth and money flows.
7. Handover documentation — so the next engineer (or you) can maintain it.

If a quote is one line — "make production ready, $8,000" — you cannot tell what you are buying, and neither can they.

Why the audit-first structure saves money

Paying $500–$2,000 for an audit before committing to a fix is almost always worth it, for one reason: it converts an open-ended engagement into a fixed-scope one. The audit tells you which of the five gap areas your app actually has, whether the codebase is worth hardening or needs a targeted rebuild, and what the fix costs — before you have spent fix money. It also gives you a document you can take to any other vendor for comparison, which keeps everyone's pricing honest. Our AI code audit guide walks through what a proper audit covers.

The cost of not doing it

The ranges above look different next to the downside numbers. A leaked API key on a metered service can burn thousands of dollars in a weekend. A data leak from missing access rules can end a young company's reputation before it has one. And an app that falls over during your launch spike converts your best-ever traffic day into a refund queue. The hardening bill is almost always smaller than the first incident it prevents — that math is covered in the real cost of shipping unhardened.

Frequently asked questions

Can I just ask the AI to fix its own security issues? You can ask, and it will confidently claim success. The problem is verification: the AI does not test its own access rules against an adversary, and the classes of bugs that matter — auth bypasses, missing constraints, race conditions — are exactly the ones that look fine until exercised. Human review of the specific dangerous surfaces is the part you are paying for.

Is it cheaper to rebuild from scratch? Rarely. The frontend and product logic the AI built are usually fine; the missing engineering sits underneath them. A rebuild throws away the part that worked to re-buy the part that was never broken. The exception is a data model that cannot support your real use case — an audit catches that in the first hour.

How long does the work take? A hardening pass on a typical MVP is one to three weeks. Timelines and what determines them get their own guide: how long a vibe-code rescue takes.

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Want a number for your specific app instead of a range? SprintX audits vibe-coded apps at fixed cost and quotes the hardening as fixed scope — you see exactly what is broken and what each fix costs before committing to anything. Send us your repo or builder link.