From vibe-coded MVP to production-ready engineering
Your MVP works. Now you need it to handle more users, pass investor scrutiny, and let other engineers work in it. That is what we do. Our senior engineers take your vibe-coded codebase, audit it end-to-end, handle technical debt remediation, and deliver production engineering services built around what already works.
Key numbers
Our clients say
Jeff Wallace
Co-Founder at Silicon Valley in Your Pocket
“We are thrilled to have such a knowledgeable, skilled and collaborative team in Ralabs as we build our business into the future. They helped us to create an excellent solution, one that met our early pilot needs but that was also scalable to meet our long-term requirements.”
Aaron Brooks
Managing Director and Co-Founder at WayThru Innovations
“Big shoutout to Ralabs for their outstanding support! The team’s commitment to our projects has been remarkable, and we’ve found a great partner in them. The Team Lead’s dedication is commendable, ensuring smooth collaboration.”
Rhodes Kriske
Marketing Director at WayThru Innovations
“Ralabs consistently delivers high-quality outputs, and they’re able to mitigate any risks to the web app. The team is responsive from a project management standpoint, and internal stakeholders are particularly impressed with their innovative approach to design.”
Ian Atkins
Co-Founder & COO at Choosing Therapy
“Ralabs truly cared about the products being built and the mission of ChoosingTherapy.com. Working with Ralabs feels like your working with an extension of your own team. Every team member was invested in our mission.”
Sebastiaan Winter ![]()
Co-Founder at BestBonobos
“Ralabs has delivered the MVP on time, and the early user feedback has been impressive. The team has kept in weekly contact to prioritize tasks and communicate via virtual meetings, emails, and messaging apps. Their cultural match and ability to give different options have been outstanding.”
Jonas Bertelsen ![]()
Chief Product Officer (CPO) at Cludo
“Working with the team was an experience in precision, expertise, and dedication. Their technical acumen ensured our GPT-Powered Q&A Chat was not only functional but ahead of the curve. We are proud to have collaborated with such a proficient team.”
Sam O’Brien
Co-Founder & Product Lead at Fillit
“Ralabs’ efforts resulted in the integration of DocuSign into the client’s contracting process, onboarding a new client in multiple markets, and clearing a backlog of tickets. The team’s project management, proactive approach, timeliness, and communication were hallmarks of their work.”
Gil Plotnizky
Co-Founder and Director at Equilibrio
“We had an amazing experience working with Ralabs.org on our website from day one, their team was professional, efficient, and truly understood our needs—covering everything from design to operations, reservations, and financial integrations with third-party software.”
Artem Arutyunyan
Head of Digital at Media Development Foundation
“With our High-load News Media project, we have reached our goals to increase analytics by rebuilding the infrastructure, boosting the performance of the website, and improving the news cloud panel for our journalists. Hromadske.ua is extremely thankful and satisfied with the costs spent since the results we gained are perfect.”
This is for you if
Your MVP is live, and users are coming in, but performance degrades as the load increases
A new developer joined and spent weeks trying to understand the codebase
You have had a security incident, or you are starting to worry that you will
An investor or enterprise client asked about your technical infrastructure, and you did not have a confident answer
You are planning to raise and need to pass technical due diligence
Your team is shipping slower than six months ago, and the codebase is the reason
Our services
System behavior under load
We start with a full code audit: mapping how your codebase actually behaves across data flows, API contracts, and service dependencies, not how it was intended to behave.
Output: a written report with severity-ranked findings showing where the system holds and where it will not.
Security posture
AI code remediation starts here: authentication logic, secrets handling,
rate limiting, and access controls assessed against OWASP Top 10 and your compliance requirements.
Output: security vulnerabilities patched, compliance requirements met (HIPAA, GDPR, SOC-2, where applicable).
Technical debt remediation and refactoring
We identify what is solid, what is fragile, and what blocks scale or onboarding, then refactor incrementally while keeping business logic intact throughout.
Output: a refactored codebase with technical debt resolved and business logic intact.
Deployment reliability
We assess your current release process and introduce test coverage
for critical flows.
Output: a working CI/CD pipeline and automated tests; deployments are repeatable, not a manual checklist.
Performance and observability
Query patterns, caching strategy, and monitoring configuration reviewed against your SLA targets.
Output: monitoring, alerting, and observability tooling configured. Your team sees issues before users do.
Ownership and continuity
We document architectural decisions, operational runbooks, and onboarding paths.
Output: ADRs, runbooks, README standards. Engineers you bring in have what they need from day one.
Our production-readiness process
Before any work begins, we run a full code audit. You get a written report with severity ratings. Nothing moves to the next phase until you have reviewed it and agreed on priorities.
AI code remediation runs before refactoring for a specific reason: hardening code with security gaps compounds the risk. We close the security layer first, so phase three starts from a verified baseline.
Technical debt remediation runs against a now-secure codebase. Every change is validated against the original system behavior before it is merged. Nothing is replaced wholesale.
Test coverage is written against the refactored system, not the original. The CI/CD pipeline is stood up and validated under real load before the system is declared production-ready.
ADRs, runbooks, and README standards are produced last, against the system as it exists after all changes, not as it was designed. Your team takes over a codebase that reflects what was actually built.
See how teams move from vibe-coded prototypes to production
Stasia Yasynyshyn and Stephan Moerman break down what it actually takes to turn a prototype into a product engineering teams can ship and maintain. Watch the full Ralabs Tech Talk on YouTube.
Why teams choose Ralabs for MVP development
No full rewrite
We refactor what exists. Your validated product decisions stay. Only what blocks production gets replaced.
Regulated industries
Healthcare and fintech are where most of our production deployments live. As an MVP development company operating in regulated environments, we know what HIPAA, GDPR, and SOC-2 actually require in a codebase.
Senior engineers, not generators
Every engagement is led by a senior engineer. Our AI services practice means we understand how these tools behave.
We apply judgment where it matters.
No lock-in
You own the code, the infrastructure, and the documentation. Every decision is recorded so your team can continue without us.
Our case studies
Team size: 9 developers
Team size: 2 developers
Team size: 4 developers
Team size: 5 developers
Team size: 5 developers
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Team size: 6 developers
Team size: 6 developers
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Team size: 3 developers
Let's review your codebase
Send us your repo overview. We will come back within one business day with an honest read on where you stand.
Yevhen Kulinichenko
Head of technology at Ralabs
FAQ​
What is a vibe-coded prototype or MVP, and why does it need production engineering?
Vibe coding is the practice of building software by describing what you want in natural language and letting AI tools generate the code. Platforms like Cursor, Bolt.new, Lovable, and Claude Code make it possible to ship a working product in days. The result is fast, but the generated code typically lacks test coverage, security review, proper CI/CD, and an architecture designed for scale. Production engineering is the process of closing those gaps before they become incidents.
Do you work with AI-generated codebases specifically?
Yes. AI MVP development services produce a distinct set of patterns: code that works in isolation but breaks at integration points, inconsistent error handling, and an architecture that made sense at the prototype stage but does not hold under load. The audit process is calibrated to these specific failure modes.
Will you rewrite our entire codebase?
We will always do our best to avoid a full rewrite — it costs more and takes longer. But if the audit shows that refactoring would cost more than rebuilding, we will tell you that directly. The goal is the right outcome, not preserving the existing code at any cost.
What security risks are most common in vibe-coded products?
The most frequent issues are improper input validation, insecure authentication patterns, secrets left in environment configs, missing rate limiting, and insufficient authorization logic. AI-generated code statistically carries more security vulnerabilities than human-written code. We review against OWASP Top 10 as a baseline and go deeper where your domain requires it.
Can you work within HIPAA or GDPR constraints?
Yes. We have production experience in both, and AI code remediation in regulated environments requires a different standard of review. We work to that standard by default.
What does AI code remediation actually involve?
AI code remediation is a structured review-and-repair cycle for AI-generated code, closing gaps in input validation, authentication, secrets management, and architecture before they reach production. It is not a rewrite. It brings generated code up to the standard of a human-authored production system.
How does the cost compare to rebuilding from scratch?
The scope and budget are defined during the audit and agreed upon before any development begins. Cost depends on codebase size, number of services, and severity of findings — there is no fixed price before we see the system. What we can say: hardening an existing codebase consistently costs less than rebuilding it from scratch.