Taking over a Lovable or Bolt project: what drives the cost, and how to estimate it

You built a V0 in vibe code. In a few hours, you had a screen, a flow, sometimes even a payment. Then comes the time to “go live,” and everything gets complicated.

The question isn’t “does it work on my browser.” The real question is: can it handle real users, real data, proper authentication, and a clean deployment. That’s when the app redesign cost becomes unclear, and the web app agency price varies tenfold depending on what needs to be fixed.

If you’re still comparing tools before this step, you can also read our article on Lovable vs Bolt to better understand the differences between the two approaches.

The goal of this article: explain what drives the cost of a takeover, then how to estimate it before you commit, without starting from scratch.
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Lovable/Bolt project takeover: what exactly are we talking about?

A takeover isn’t “redesigning the UI.” It’s putting a vibe-code-generated base on “production” tracks.

Concretely, a Lovable/Bolt project takeover (and the same for v0) can include:

• secure auth and access
  
• stabilize data (schema, migrations, constraints)
  
• fix deployment and infra (environment, variables, CI)
  
• improve performance (load times, queries, caching)
  
• add safeguards (logs, monitoring, error handling)
  
• prepare for the next steps (technical roadmap, conventions, handover)
  

It’s rarely just one issue. Often, you think you have “a deployment bug,” but the real blocker is a combination: fragile auth + inconsistent data + dependencies that break the build.
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Why a vibe code prototype hits a wall at production time

Lovable, Bolt, and v0 are great for moving fast. Their business models even encourage rapid prototyping and iteration through monthly subscriptions.

Those models are not steered the same way, which is worth knowing before choosing where to prototype. As of 28 August 2026, Bolt bills tokens, 300,000 a day and 1 million a month on the free plan, from 10 million a month on the $25 Pro plan, and states itself that consumption depends on the size of the project exposed to the model: "the larger the project, the more tokens used per message". Lovable bills credits, with 5 build credits a day on the free plan and a cost that varies with task complexity. The direct consequence for a takeover: with Bolt, a prototype that has grown large becomes expensive to evolve, which mechanically pushes towards moving to code. Grids: Bolt and Lovable.

The problem is that “prototype speed” often comes at the cost of compromises that surface later. They are what drives the cost of a takeover.

The 6 factors that drive the cost of a takeover

Without an audit, no one can give you “the price” of your takeover. What we do know is what makes it vary: six factors, which decide how much work is needed. If you receive two very different quotes, they often make different assumptions about one of them.

1. The state of the code

Vibe code can produce duplication, tightly coupled components, scattered API calls, and business logic strewn everywhere. It’s fine when you’re working alone. As soon as you add a dev or fix 10 things, it becomes unstable.

This is the first cost factor. Readable code can be fixed step by step; tightly coupled code forces you to rework foundations before touching anything else.

2. Security and authentication

A prototype can “simulate” login. In production, you need to handle sessions, refresh tokens, password resets, permissions, GDPR, and sometimes multi-tenancy. This is often where the app refactor cost emerges.

“It works in demo” isn’t enough. In production, you usually need:

• robust auth (provider, sessions, error handling)
  
• roles and permissions
  
• route, API, and data protection
  
• forgotten flows (logout, expirations, multiple devices)
  

One specific thing deserves testing before any takeover quote, because it changes the diagnosis: if the backend is Supabase, row level security is disabled by default on new tables. Until it is enabled, the public key embedded in the front end grants access to the whole table from the browser, regardless of what the interface displays. The test takes a minute from a private tab, and its result alone can change the scale of the takeover. This is not an exotic case: broken access control is the first category of the OWASP Top 10. References: Supabase Row Level Security and OWASP A01.

3. The data model

In production, poorly defined data is expensive: bugs, support, impossible exports, billing errors. A proper fix often requires a real data model and migrations.

This is the most underestimated block in vibe coding.

• data model to stabilize
  
• migrations
  
• validation rules
  
• integrations (CRM, billing, email, analytics)
  
• file, export, and backup management
  

The effort escalates quickly if data already exists and needs to be restructured without losing history.

4. Deployment

Locally, everything is fast. In production, you deal with networks, caching, builds, quotas, 500 errors, environment variables, and monitoring.

If you’re still at the stage of defining the right product foundation, our guide how to develop a web application can also help you distinguish between a quick prototype and a production-ready app.
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What we often see in Lovable/Bolt takeovers:

• builds that break depending on the environment
  
• missing variables, poorly managed secrets
  
• no CI/CD, no clean preview environment
  
• unstable hosting configuration
  

5. Performance

With real users and real data, slow queries, missing caching and heavy screens show up immediately. The effort depends on the number of screens and edge cases.

On performance, aim at a public threshold rather than an impression. The Core Web Vitals set three measurable targets: LCP under 2.5 seconds, INP at or below 200 milliseconds, CLS at or below 0.1, at the 75th percentile of page loads, segmented across mobile and desktop. Framing the takeover that way changes the conversation with a supplier: you are no longer asking for "faster", you are asking them to hit three verifiable numbers. Reference: Core Web Vitals.

6. Tests and observability

Without tests on key user journeys or usable logs, each fix risks breaking something else, and you discover errors at the same time as your users. There is no need to aim for 100% coverage: the point is to protect what matters.

• clean error handling
  
• actionable logs
  
• monitoring, alerts
  
• targeted tests (not necessarily 100% coverage, but key user journeys)
  

What makes a Lovable/Bolt takeover heavier

If you receive two widely different quotes, it’s not necessarily a scam. It’s often due to differing implicit scopes.

Here are the most common “multipliers”:

There are already users and data

Taking over an empty database is simple. Taking over one with history, permissions, and data that must not be broken is another story. This is often the real core of app redesign costs.

You need a high “production-grade” level

B2B, sensitive data, payments, compliance, SLAs. The bar rises quickly, especially for auth, logs, and security.

The prototype relies on fragile integrations

A makeshift Zapier, an unstable API, a webhook without retries. In production, every integration must be hardened.

Deployment must be industrialized

This is often where teams get stuck: build, environments, secrets, monitoring. Code isn’t the only issue.
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Three common situations, and what drives their cost

“We have a V0, but can’t deploy it”

Often a mix of dependencies, environment variables, build issues, and server/client routes.

What drives the cost: how clean the repository is and how much the deployment needs to be industrialized.

“Users can log in, but permissions aren’t reliable”

It’s a classic. Once you have roles, workspaces, or per-client data, you need to secure it.

What drives the cost: the number of roles, workspaces and per-client data to secure.

“Data is all over the place”

Unclear schema, changing fields, impossible exports, cascading bugs.

What drives the cost: reworking the data model and migrating the data, especially if migration without data loss is required.
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To regain full control of your Lovable app, see our guide Jailbreak Lovable.

How to estimate the cost of your takeover

Step 1: a 15-minute self-assessment

Without complicated tools, you can scope your takeover with 6 questions. Answer honestly, and you’ll already have an idea of the scale of the takeover.

1. Can someone explain the architecture in 5 minutes?
   
2. Is the auth real, with roles and complete user journeys?
   
3. Is the data model clear, with constraints and readable business logic?
   
4. Is the deployment reproducible, or is it just “it works on my machine”?
   
5. In case of an error, do we have useful logs, or nothing?
   
6. If we add 10 features, does it hold, or does it break everywhere?
   

If you answer “no” to 3 or more questions, expect a takeover that touches several foundations, not a simple fix.
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Step 2: a free 48-hour diagnosis

In 48 hours, we review your project’s code, authentication, data model and deployment. You receive a written diagnosis: what works, what breaks, what is at risk, and an action plan. The diagnosis is free and without commitment: you keep the report even if you do not go further.

Step 3: a tailored estimate

Based on the diagnosis, each takeover is priced individually. The estimate covers only what gets you closer to production: you avoid the huge “just in case” quote, and the small quote that blows up along the way.

Indicative timelines

At Scroll, your first diagnosis is free and delivered within 48 hours. An in-depth audit takes 1 to 3 days, with the report in under a week. Stabilising a prototype before launch usually takes 1 to 3 weeks. A full takeover takes 6 to 12 weeks, up to 16 for the largest scopes. For example, a Lovable-built ERP (62 screens) went live 7 weeks after work began. What moves these timelines is the state of the code and how quickly we get access. You get a firm schedule with the audit.

• Audit: …
• Stabilization: …
• Full takeover: …

Our AI project recovery offer: a takeover designed to unblock fast, without overpaying

At Scroll, we created the AI project recovery offer to address exactly that make-or-break moment: between vibe code prototype and production.

The principle is intentionally simple:

1. Diagnosis : we review your project, identify the real blocker, and give you a clear plan.
   
2. Targeted fix : we only step in where it’s truly stuck, on one of the 4 major topics: deployment, auth, data, performance.
   
3. Clean handover : we leave you with a stable foundation, documented just enough, and ready for the next steps.
   

And yes, despite the name, it’s not just for Lovable: we also work with Bolt and v0, because the symptoms are the same when moving from vibe code to prod.

To see what this kind of intervention looks like in a real case, you can also read how Scroll Agency unlocked a SaaS business AI prototype. It’s a good addition to reassure a reader who’s still torn between a targeted fix and a more structured overhaul.
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The next logical step if you want a reliable estimate

The simplest way to get a serious quote is to start with a short diagnosis, then price a targeted fix. That’s exactly the AI project recovery offer approach: avoid the massive “just in case” estimate, and also avoid the small quote that blows up mid-project.

If your code-heavy prototype is stuck, we can review your project, identify the real bottleneck, and quickly tell you what scale of takeover is needed. Then, we only intervene on what gets you closer to production, without turning your recovery into an endless rebuild.

If you’d like, you can reach out via the AI project recovery offer by Scroll: diagnosis, bottleneck identification, then a targeted fix on deployment, auth, data, or performance.