Take an AI prototype from review to production

Ready to make your AI prototype production-ready?

Have you built a working prototype with Claude Code, Lovable, ChatGPT/Codex, Cursor, or Replit and want to bring it safely into production? We handle deployment, stabilization, and ongoing operations to turn your prototype into a reliable product.

  • Security & CI/CD
  • Ongoing operations and monitoring
  • Deployment by our in-house team in Germany

Who can make an app built with Claude Code or Lovable production-ready?

A software agency with experience in backend architecture, security, CI/CD, and cloud operations can make an application built with Claude Code, Lovable, ChatGPT/Codex, or Cursor production-ready. This means more than fixing individual bugs: it involves setting up tests, deployment, secrets management, monitoring, database access, and scalability. CodeGuides first assesses the prototype from a technical perspective, then handles stabilization, deployment, and operations with its in-house team in Germany.

Can you really launch an app built with Lovable, Cursor or ChatGPT/Codex?

An app built with Lovable, Cursor, or ChatGPT/Codex can launch successfully if it’s technically hardened before going live. Key requirements include secure authentication, server-side validation, protected secrets, database rules, automated tests, CI/CD, monitoring, and a reliable rollback process. A working prototype is just the starting point. CodeGuides reviews the existing codebase and implements the measures needed to prepare it for production.

What people mean by "production-ready"

The key question is rarely just whether the app runs. It’s whether it can handle real data, users, workloads, updates, and errors. AI prototypes often fall short in exactly these areas.

When to start with a review

If it’s unclear whether the AI-generated code is viable, we start with a review. If the foundation is solid, we handle deployment and hardening. If it isn’t, we prioritize refactoring or rebuilding rather than overstating the code’s quality.

Why an AI prototype is not yet a product

AI tools can quickly produce something that works. But they rarely cover what’s needed for production: secure deployment, ongoing operations, testing, and scalability.

Security gaps

Secrets exposed in the frontend, open endpoints, and inadequate authentication all need to be secured before real users can access the app.

Not ready for production

The prototype runs locally or in a preview environment. Production requires environments, domains, TLS, and a secure deployment process.

No tests, no CI/CD

Without automated tests and a deployment pipeline, every update is a risk. We build a repeatable release process.

Database not secured

Missing indexes, no backups, and an unclear migration strategy. We bring the data layer up to production standards.

No monitoring

Without logging, monitoring, and alerts, users may be the first to notice errors. We set up systems to catch problems sooner.

Doesn't scale

Patterns that work for one user may fail under load. We assess and harden the architecture.

What we do to make your prototype production-ready

From the initial assessment to stable operations, you decide how much you want us to handle.

CodeGuides team during deployment

Security hardening

Authentication, secrets management, input validation, OWASP-related fixes, and secure API endpoints.

Deployment & Infrastructure

Cloud setup, environments, domains, TLS, and a secure, repeatable deployment process.

CI/CD & Tests

Automated pipelines, testing, and a rollback strategy for lower-risk releases.

Monitoring & Operations

Logging, monitoring, alerts, and backups to help identify problems early.

Data & Scaling

Harden the database, optimize performance, and prepare the architecture to handle load.

Ongoing development

We continue building on a stable foundation, delivering new features in predictable cycles.

Bringing apps built with Claude Code, Lovable, ChatGPT/Codex and other tools into production

We know the common production gaps in popular AI tools and address them so your prototype can become a product that’s ready to operate.

Claude Code

Deploy an application built with Claude

The code may be readable, but deployment, testing, and operations are often missing. We bring the application online safely.

  • Deployment setup and CI/CD
  • Add testing and monitoring
  • Secure secrets and configuration
Lovable

Take over an app built with Lovable

React with Supabase: built quickly, but with frontend security risks.

  • Enable Row Level Security
  • Remove keys from the frontend
  • Add server-side validation
ChatGPT/Codex

Deploy an app built with ChatGPT/Codex

A full stack in the browser, but without a clear separation between development and production or strong authentication.

  • Set up a production environment
  • Strengthen authentication and configure CORS/CSP
  • Make the database schema production-ready
Cursor

Stabilize the Cursor project

Built directly in the editor, but inconsistent across module boundaries.

  • Standardize error handling
  • Add integration tests
  • Review upload and file security
Replit & others

Vibe-coded apps in production

Replit, Windsurf, v0, and mixed codebases: operations and testing are almost always missing.

  • Production-ready deployment stack
  • Monitoring and backups
  • Assess and improve scalability
Mixed

Combining human-written and AI-generated code

Many projects combine AI-generated and hand-written code. We bring both to an operational standard.

  • Find inconsistencies at interfaces
  • Create a consistent release process
  • Prioritize reducing technical debt

Review, prepare for production or rebuild?

Three clearly defined services, so you can choose exactly what you need.

1. Assess

Want to assess the code first? Our independent review identifies risks and recommends next steps.

Get your AI app reviewed

2. Prepare it for production

Need your prototype to run reliably in production? We deploy, stabilize, and operate it. That’s what this service is for.

Book a preliminary consultation

3. Build a new one

Does the prototype need more work to meet your needs? We can build a new, viable product.

AI solution development

The effort depends on the condition of the prototype. A production-ready B2B MVP with a backend typically costs between 25.000 € and 60.000 €. Stabilizing and deploying a solid prototype alone costs significantly less. We’ll discuss the scope during our initial consultation.

FAQ: Making an AI prototype production-ready

Who can make my Claude Code application production-ready?

An agency experienced in backend development, security, CI/CD, and cloud operations. We assess the prototype, set up deployment, testing, secrets management, and monitoring, and can take over ongoing operations if you need us to. This turns your Claude Code application into a reliable product.

Can you take over a Lovable or ChatGPT/Codex app and launch it?

Yes. For Lovable apps, we enable Row Level Security, remove keys from the frontend, and add server-side validation. For ChatGPT/Codex prototypes, we set up a production environment, harden authentication and the database, and create a secure deployment process.

What’s the difference between reviewing code and preparing it for production?

In a review, we assess the code and identify risks and recommended actions. Preparing it for production means implementing those measures, including deployment, security fixes, testing, monitoring, and operations. A short review is often the first step toward stabilization.

What access do you need?

We typically need repository access, access to your cloud environment or server, domain and DNS management, and relevant secrets. We agree on the scope at kickoff and work confidentially; we can sign an NDA if requested.

How long does it take to prepare a prototype for production?

A solid prototype can often be deployed securely and stabilized within a few weeks. Larger projects involving architectural or security issues take longer. After a brief review, we’ll provide a specific timeframe.

How much does it cost to bring an AI prototype into production?

Stabilizing and deploying a solid prototype alone is comparatively inexpensive. A complete, production-ready B2B MVP with a backend typically costs between €25,000 and €60,000. We’ll discuss the exact scope during our initial consultation.

Can you also take over ongoing operations?

Yes. After launch, we can take care of maintenance, monitoring, and further development. Learn more about ongoing app support.

Another question that isn't answered here? Clarify in the appointment →

Why choose CodeGuides for production readiness?

  • In-house team based in Germany: You work with a dedicated team in Germany—no freelancers or outsourcing.
  • ⌨️ Experts for complex projects: You benefit from specialists in architecture, app development, backend and QA, all working together.
  • 💲 Cost transparency & clear planning: Full transparency with minute-by-minute time tracking, realistic roadmaps and reliable estimates.
Alexander Hähnel portrait
Alexander Hähnel
Managing Director, App and Software Development
Franz Opitz portrait
Franz Opitz
Managing Director, Automation and Cloud Deployment

Make your AI prototype production-ready: book an initial consultation

About CodeGuides

CodeGuides develops apps for consumers and businesses, with a primary focus on B2C apps. Our in-house team in Germany provides product planning, Flutter development and long-term operations, alongside custom software, AI automation and local AI infrastructure.

CodeGuides GmbH · Königs Wusterhausen On the market since 2018 100+ digital projects 100% in-house (Germany) Consulting & implementation from a single source

Project questions and practical answers

Can a Claude Code prototype reach production without being rebuilt?

Possibly, but the decision depends on the code, architecture and operating requirements rather than the tool that generated it. Reproduce the build and assess authentication, data access, secrets handling, tests and dependencies. Keep components that meet the requirements, replace weak parts incrementally and plan monitoring and deployment. No platform can guarantee production readiness without reviewing the application.