How much does it cost to fix a vibe-coded app?
The cost to fix a vibe-coded app is set by which layers are broken and how much live data sits on them. An app with exposed tables but a sound structure is a small, urgent job. An app whose data model, billing and interface all drifted is a bigger project, even if it has the same number of screens.
Very few studios publish prices for this kind of rescue work yet, so we won't pretend there's a standard rate card. What we can give you are the hourly bands and adjacent ranges we see quoted, mapped to the kind of fix. If you're earlier than this and still planning version one, start with our MVP design and development guide.
Scope of fix | What it involves | How it's usually priced | Range we see quoted |
|---|---|---|---|
Triage audit | Reading the code, access rules, billing and accounts; a written risk list | Fixed fee or a few days of time | Rarely published for rescue work |
Security patch | Access rules, keys moved server-side, roles checked on the server | Hourly | US rates about $80–180/hr |
Data model and billing repair | Tested migrations, webhook handling, subscription states | Hourly or a fixed project | Same hourly bands; scales with live data |
UX and design audit | Flows, states, consistency and copy reviewed | Fixed fee | About $1,500–$25,000 |
Interface redesign | One design system, screens rebuilt on it | Fixed project or retainer | About $2,000–$40,000 for MVP design |
Partial or full rebuild | New foundation plus data and user migration | Project or retainer | Widest range; priced from scope |
These are typical ranges we see quoted in 2026, and they vary a lot by team and region. Beyond the US band, published rates run about $25–60 an hour in Eastern Europe and $15–45 in South Asia. The hours a fix needs matter more than the rate, which is why the next section is about what drives them.
What drives vibe code cleanup cost?
Vibe code cleanup cost is driven by how many layers need work, how much real data has to survive the fix, and how much of the code anyone can trust. Screen count is a weak predictor. Here's what actually moves the hours.
- How many layers are broken. Access rules alone is one job. Access rules plus billing plus a drifted interface is three, and they touch each other.
- Live users and data. A prototype with test accounts can be changed freely. With paying customers, every schema change needs a migration that preserves records, tested on a copy first.
- Integrations. Each payment provider, email service, AI provider and auth method is a place where a fix can break something. More integrations, more testing.
- Prompt history. An app that was regenerated hundreds of times usually has duplicated logic and several versions of each component, so changes take longer to make safely.
- Tests and environments. Most vibe-coded apps have no automated tests and no staging copy. Adding the minimum of both is part of the cost, and it makes every later fix cheaper.
- Ownership. If the code isn't in a repository your company owns, or key accounts sit in a personal login, sorting that out comes first.
AI features add their own line. If users trigger model calls, the fix often includes per-user limits and usage display, which we cover in pricing and usage UX for AI products.
Which fixes are cheap and which are expensive?
Security and access fixes are usually the cheapest and most urgent, data-model and billing repairs sit in the middle, and redesigns and rebuilds cost the most. The order of cost is roughly the reverse of the order of risk, which is lucky: the fixes that protect users first are also the smallest.
- Patch: turn on and correct row-level access rules, move private keys out of browser code, check roles on the server, add rate limits. Small and urgent.
- Repair: restructure the data model with tested migrations, make the payment provider the source of truth for plan status, add error tracking and backups. Medium, and it scales with live data.
- Redesign: one set of components, tokens and states, with screens reskinned on top of the working code. Medium to large, depending on screen and state count.
- Rebuild: a new foundation on a mainstream stack, with users and records migrated. The largest, and only worth it when the structure can't express how the product works.
Why should you pay for triage before getting a fix quote?
You should pay for triage first because nobody can price a rescue accurately without reading the code. A fixed quote from screenshots is either padded to cover the unknowns or will change once the work starts. Triage turns unknowns into a ranked list you can price, split or take elsewhere.
Hand over access
Repository, database, hosting, payment provider and the accounts list, all invited to your company's accounts rather than shared passwords.
Read the risky layers
Access rules on every table, where keys live, how roles are checked, how billing sets plan status, and what happens when something errors.
Test as two users
Sign in as two ordinary accounts and try to read or change each other's records through the API, not just the interface.
Rank the findings
Each issue gets a tier (patch, repair, redesign, rebuild) and an order. Urgent exposure gets fixed first, often during triage itself.
Price the list
With a ranked list, a fix quote is based on real work instead of guesses, and you can choose what to do now and what can wait.
What does Designify charge to fix a vibe-coded app?
Designify starts vibe-coded rescues with a $1,000 trial week: one week of design and development on your real app, at a fixed price. We read the risky layers first and start on the most urgent fixes, and you see how we think and communicate on your code before committing to more.
- Trial week of design and development, fixed
- $1,000
- Ongoing design and development retainer
- $6,000/mo
- Brand and design sprint, design only
- $3,000
If the app needs more than a week, we continue on our $6,000-a-month retainer as your design and development team, with no hourly tracking. If the code is fine and the problem is how the product looks and reads, the $3,000 brand and design sprint gives you a redesigned direction in Figma. How we run MVP work is on our MVP design service page, and what a one-week sprint can realistically ship explains how we scope a week.
How do you estimate an AI app rescue cost yourself?
You can estimate an AI app rescue cost roughly by counting broken layers, live data and integrations, then adding the costs that never show up in a quote. It won't replace triage, but it shows whether you face a patch or a project.
- Platform upgrades. Backups, extra environments and higher limits often need a paid plan. On Supabase, for example, automatic daily backups come with the Pro, Team and Enterprise plans, not the free one.
- Data migration. Moving records and accounts safely takes planning and a rehearsal on a copy of production.
- Your time. Someone has to answer questions and test fixes.
- Feature freeze. New features usually wait during the rescue, and that delay has a cost too.
For example, suppose a founder's AI writing tool has its first paying users
For example, suppose a founder built an AI writing tool with an AI app builder. It has a few hundred sign-ups and a small group of paying users. Triage finds three things: one table is readable by any signed-in user, plan status is set by the checkout success page instead of the payment provider's webhooks, and the editor screen has four slightly different toolbars.
The table and key fixes are the patch tier and get done first. Billing is a repair: webhook handling plus tested states for failed payments and cancellations. The toolbars are a redesign item that can wait a month without hurting anyone. The founder now has three priced items in order instead of one vague rescue quote.
This is a hypothetical example, not a client result.
Is it cheaper to fix a Lovable app or rebuild it?
Fixing a Lovable app is usually cheaper than rebuilding it, because a rewrite throws away validated flows, copy and data and freezes the product while it happens. A rebuild only wins on price when the data model can't express how your product works, or when every fix breaks something unrelated.
Two things keep the fix price down. Lovable supports two-way sync with GitHub, so a team can work in a normal repository instead of only through prompts. And the stack it generates is mainstream React with Tailwind, which most developers know. When moving off the builder does make sense, Lovable to Next.js covers the migration, and rescuing a vibe-coded app covers the fix order in detail. If you're still deciding whether to bring in a team at all, read vibe coding vs hiring a team.
