By Andrii Lutsenko, CTO and co-founder, Right.Link. Last updated 6 November 2026.
Vibe Code Rescue is Right.Link's service for apps built with AI tools such as Lovable, Bolt, v0, Replit, Cursor and Claude Code that have become unstable, insecure or impossible to extend. We start with an audit of the live product, fix the highest-risk problems first (auth, payments, data access), and then either hand the codebase back in a state your team can maintain or keep shipping with you in sprints. It is built for funded founders and SMBs that already have a live product and paying users.
Who is Vibe Code Rescue for?
It is for teams that shipped fast with AI tools, found real customers, and are now paying for it in outages, support tickets and slow releases.
Typically that means a founder or small team with a live product, paying users, and either no in-house senior engineer or one who is overloaded. You do not need to apologise for how the app was built. Getting to paying users quickly is the point of these tools. Our job starts where they stop being enough.
If you have only an idea or a prototype with no users, you probably need an MVP build, not a rescue. We will tell you that on the intro call.
How do I know my AI-built app needs rescue?
Check how many of these are true today:
- The app goes down at random and nobody can say why.
- Payments double-charge, fail silently, or webhooks get dropped.
- Users can see data that belongs to other users, or roles and permissions do not hold.
- Every new feature breaks an old one.
- You cannot onboard a second developer because nobody understands the structure.
- Hosting bills or page latency keep growing as usage grows.
- Nobody dares deploy on a Friday, because there are no tests and no way back.
- Secrets, API keys or admin routes are in places they should not be.
One or two of these is normal growing pain. Three or more usually means the foundation, not the features, is the problem.
What does Right.Link do in a rescue?
We work in a fixed order, because fixing the wrong thing first wastes your money.
- Audit first. We read the code, the database, the hosting setup and the logs before we promise anything. You get a written list of findings ranked by risk.
- Security, auth, payments and data access. These come before features. We check who can read and write what, how sessions and roles work, how payments and webhooks are processed, and where secrets live.
- Architecture and data model. We find the structures that make every change expensive, such as duplicated logic, missing constraints, or business rules buried in UI components, and fix them in the order that unblocks the most work.
- Tests and CI. We add automated tests around the money paths and the core user flows, and a CI pipeline, so changes stop breaking old behaviour.
- Deploy and monitoring. Repeatable deploys, a way to roll back, error tracking, logs and alerts. Outages stop being a surprise.
- Hand-off or ongoing sprints. Either we document the system and hand it to your team, or we stay and keep building features in sprints on the stabilised base.
Does it matter which AI tool built the app?
It changes what we look for first, not whether we can help. These are general patterns, not claims about any vendor.
- Lovable: usually a polished React front end with a hosted backend wired in quickly. We check data access rules, how auth is configured, and whether business logic lives in the browser.
- Bolt: fast full-stack scaffolds. We look at how the project is structured, environment handling, and how much is duplicated across files.
- v0: strong UI components. We look at how those components were connected to real data, validation and server code.
- Replit: apps that grew inside one environment. We check deployment setup, secrets handling, and whether the app can run anywhere else.
- Cursor: a human plus an AI editor. Quality depends on the person; we look for inconsistent patterns between sessions and missing tests.
- Claude Code: similar to Cursor, but often with larger changes per session. We look for drift between modules and decisions nobody wrote down.
Mixed stacks are common. Most rescue projects touched two or three tools.
How does a Vibe Code Rescue engagement work?
- Free intro call (about 30 minutes). You describe the product, the symptoms and the goal. We tell you honestly whether we can help.
- Scoped quote. After the call we give you a quote based on what is actually needed. There is no price list, because two apps with the same symptoms rarely have the same fix.
- Audit. Access to code, hosting and data, then a written report.
- Stabilise. The highest-risk problems first.
- Harden and restructure. Tests, CI, architecture and data model work.
- Hand-off or sprints. Documentation and knowledge transfer, or ongoing sprint-based development with us.
What drives the cost: the size of the codebase, the number of integrations (especially payments), how much of the architecture has to change, the current state of tests and deployment, and whether you want a hand-off or continued development. We do not promise fixed durations up front. We describe each stage in the quote, and you can stop after any of them.
What will Right.Link not do?
- We will not promise to keep every line of generated code. If a part is cheaper to rewrite than to repair, we say so and explain why.
- We will not quietly keep running a product we judge unsafe. If the audit shows a risk that affects your users or your data, we tell you before we do anything else.
- We will not claim a fix is done without evidence, such as a passing test or a verified flow.
- We will not take access or data we do not need for the agreed scope.
Has Right.Link done this before?
Yes. Here are three projects that started from someone else's build or design:
- Karbon Shortcuts (case study): we picked it up from an earlier build. The main problems were a completely wrong architecture and a broken, unstable Stripe integration. We fixed the foundation and built new features on top.
- ThePokeLlama: the client came with a design built in Lovable. We built the full backend, deployed it, and ran the sprint-based development. Read the case.
- Wyzor AI: the same pattern. A Lovable design from the client, with the backend, deployment and sprint-based development done by us. Read the case. The technical story behind its retrieval system is in From Similar to Correct.
Book a free 30-minute intro call
If your AI-built app has paying users and the symptoms above sound familiar, Book a free 30-minute intro call. Bring the product link and a list of what hurts. You will leave with an honest view of what is wrong and what a sensible first step would be. The quote comes after the call and depends on what is needed.