Turn AI-generated code into production-grade software
We take codebases built with Claude Code, Cursor, Replit and other AI tools and make them production-ready. Security review, refactoring, tests, and documentation, so your team can maintain and extend in the future.
Why do AI-generated prototypes need cleanup?
AI tools are great for moving fast and validating ideas. But the code they produce is rarely ready for real users, production traffic, or long-term ownership.
Prototypes stop at the happy path
AI prototypes often work in the demo flow, but skip failure handling, validation, and recovery. Real users hit the missing paths on day one.
Prototypes stop at the happy path
AI prototypes often work in the demo flow, but skip failure handling, validation, and recovery. Real users hit the missing paths on day one.
Quality varies across the codebase
Different files end up following different patterns and assumptions. That inconsistency turns into bugs and fixes that cause new regressions.
Quality varies across the codebase
Different files end up following different patterns and assumptions. That inconsistency turns into bugs and fixes that cause new regressions.
No production rails in place
Prototypes usually omit the backend and operational pieces needed to run for real. Shipping then becomes a rebuild instead of a rollout.
No production rails in place
Prototypes usually omit the backend and operational pieces needed to run for real. Shipping then becomes a rebuild instead of a rollout.
A codebase your team can own and extend
A prototype is a starting point. This is what makes it real: stable behavior under real usage, consistent engineering standards across the codebase, and the missing production pieces filled in so your team can confidently build on it.
Release-ready foundation
Refactored structure with solid tests and CI checks, so changes are safe and releases stay predictable as the codebase grows.
Missing pieces filled in
Backends, APIs, and UI patterns completed where prototypes often stop, including the flows outside the happy path.
Security clearance
Issues in code and dependencies identified and fixed, with safer defaults and stronger input handling across the system.
AI-ready documentation
Clear documentation that helps engineers understand the system and helps AI tools generate changes that match your codebase.
Observability and analytics
Logs and dashboards that surface what matters in production, so issues can be found quickly and improvements are guided by real usage.
Turn best practices into skills AI agents can apply
AI-assisted code cleanup and documentation only work well when agents have clear, structured guidance. By turning our own React Native best practices into agent-ready skills, we show how complex engineering knowledge can be packaged so AI tools consistently apply it during refactors, fixes, and cleanups.
Turn AI-generated code into production-ready software
Review security and compliance
We analyze code produced by Claude Code, Cursor, or other LLMs for structure, security, and maintainability, and identify weak spots before they reach production.
Refactor and stabilize the codebase
We reorganize, optimize, and test AI-assisted codebases until they meet production standards, so your team can maintain and extend them with confidence.
Complete features and harden behavior
We fill gaps left by generative code, including UX polish, edge cases, performance testing, and release readiness, so the system behaves reliably under real usage.
Document and enable the team
We create playbooks and system documentation, and pair with your engineers so your team can operate the system day to day and keep building on it.
Why leading companies work with Callstack
Meta Official Partners
We are official Meta partner for React Native, co-organizers of React Conf and hosts of React Universe Conf.
Working at scale
We know how to make React Native work at enterprise scale, both technically and organizationally.
React Native Core Contributors
We don’t just use React Native to build cross-platform apps, we help shape it for millions of developers.
Team at scale
We’re a team of 200+ engineers ready to start fast and scale with your needs.
Enterprise-friendly
We hold ISO certifications and follow strict security standards to make onboarding smooth and compliant.
Wide range of services
As a partner for your full application lifecycle, we offer a full range of services around React and React Native.
FAQs
Cleaning up AI-generated code raises questions about scope, timeline, and handover. Here are answers to the ones we hear most.
We start with a structured review covering architecture, security, test coverage, and maintainability, then prioritize based on risk and impact.
No. We refactor and stabilize what’s there, rewriting only where necessary for security, performance, or maintainability.
Common issues include exposed secrets, insecure dependencies, missing input validation, and improper error handling.
Yes. We often pair with your engineers to transfer knowledge and enable your team to maintain the system long-term.
We fill in the gaps. AI tools often stub or skip backends, so we complete the missing pieces to make the system functional.
Yes. We introduce tests appropriate to your stack, such as unit, integration, or end-to-end, to prevent regressions going forward.
Production-ready code, security findings, documentation, and a handover that lets your team own and extend the system.
Have AI-generated code that needs to go to production?
We take prototypes built with Claude Code, Cursor, or other AI tools and make them secure, stable, and maintainable. Your team gets production-ready code and a clean handover.
We’ve helped dozens of teams go cross-platform without rewriting everything. Let's see how we can help you.
