You moved fast with vibecoding using tools like Cursor, Lovable, Bolt, Replit, v0, and GitHub Copilot. Now, Relevant helps founders and product teams turn those AI-generated apps into secure, scalable, maintainable products ready for real users, investor review, and long-term development.
We review the entire AI-generated codebase to identify bugs, performance bottlenecks, and technical debt that could crash your product under real user load.
AI tools often ignore security best practices like authentication, data validation, and secrets management. We close the gaps to protect your user data and IP.
Prototypes are often “spaghetti code.” We refactor the core architecture to make it modular and maintainable, ensuring you can add features without everything breaking.
We add automated testing to the most critical paths of your application, from user sign-ups to payment processing, preventing future regressions.
We build professional deployment pipelines so your team can ship updates safely and frequently without manual errors or downtime.
We document how your application works so future developers can understand the codebase and onboard quickly without constant guidance.
Relevant packages your AI-built prototype into a production-ready system with the final refinements needed for high availability, compliance, and user growth.
You get a full review of your prototype assessed as a production system. Relevant checks the codebase, architecture, security, database logic, integrations, deployment setup, and technical debt, then shows you what is safe to keep, what needs fixing, and what could block launch, investor review, or future development.
Before adding new features, we harden the parts that create the most exposure: authentication, permissions, secrets, API access, payment flows, dependencies, data handling, and fragile logic. The goal is to remove hidden risks without throwing away the product you already built.
You receive a codebase your team can build on. The structure is cleaned up, business logic is separated, APIs are improved, and the database is stabilized, so your team, future hires, or investors reviewing the technology can understand and extend it.
You get the foundation a real product needs to ship and grow: practical test coverage, staging and production environments, CI/CD workflows, deployment documentation, and monitoring basics. Your product can be released, updated, and handed off without every change becoming a new risk.
Once the product is hardened, we help move it into the hands of real users. Whether it is a web app, mobile app, or cross-platform product, we support final deployment, release checks, store submission if needed, monitoring, and post-launch stabilization so your AI-built prototype becomes a working product in the market.
We apply 13+ years of software engineering rigor to AI-generated output, ensuring code maintainability and long-term product health. As a mature software development partner, we are not a new AI trend shop.
We have proven experience building and modernizing custom software across industries. This ensures your AI prototype is delivered with engineering excellence gained from 246 projects delivered.
AI tools prioritize speed over safety. We prioritize security, protecting your users and business from vulnerabilities commonly found in LLM-generated code.
We have experience with GDPR, HIPAA, ISO 27001, cybersecurity, and regulated-industry software development to ensure your product meets necessary regulatory standards.
You work with 92% senior talent who understand how to modernize and scale rapidly evolving AI applications. Our senior engineers review architecture, security, DevOps, and maintainability risks.
Our 96% employee retention ensures stable teams preserve product context from audit through launch and ongoing support.
We use AI-assisted development to move up to 50% faster and catch up to 20% more bugs than traditional refactoring, while senior engineers make every call on what is safe to keep, fix, or rebuild.
Technical debt from AI tools can fail due diligence. We ensure your architecture, documentation, and security meet the standards required by investors.
Whether your prototype is built on Next.js, Python, or a low-code tool, our team has the cross-platform expertise to stabilize and scale your stack.
We have a 4.9 Clutch rating based on third-party validation from verified clients who highlight transparency, communication, and delivery quality.
Book a call with our experts to discuss your codebase audit, security hardening, or architecture refactor.
AI Prototype to Production Services refers to the process of turning a vibecoded or AI-generated prototype—built with tools like Cursor or v0—into a production-grade application that is secure, scalable, and maintainable by a human engineering team.
AI prototypes, often created through vibecoding, often lack security fundamentals, proper database schemas, and automated tests. Launching without these risks user data breaches, crashes under load, and massive technical debt that makes future development impossible.
Not necessarily. We follow a pragmatic approach—securing what’s there and refactoring only what’s broken or dangerous. Our goal is to stabilize your vibecoded product as quickly as possible without losing the speed advantages of AI coding.
We work with codebases generated by any major LLM or AI coding tool, including Cursor, GitHub Copilot, Lovable, Bolt.new, v0, Replit Agent, and ChatGPT.
A focused security audit and hardening sprint can take as little as 2–4 weeks. A full architecture refactor and CI/CD setup for a complex application typically takes 2–3 months.
Yes. We provide comprehensive documentation and audit reports that demonstrate your codebase is secure, professional, and built on a solid foundation, which is critical for VC funding and M&A cycles.
We can hand over the cleaned-up codebase to your internal team or provide ongoing managed development to help you scale the product and add new features.
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