Have Claude deploy the application
Readable code, but deployment, testing and operation are mostly missing. We will safely bring the application live.
- Deployment setup and CI/CD
- Follow up testing and monitoring
- Secure secrets and configuration
Make AI prototype ready for production
AI prototype make it ready for production
You have built a working prototype with Claude Code, Lovable, ChatGPT/Codex, Cursor or Replit and want to safely bring it into production? We take care of deployment, stabilization and operation so that the prototype becomes a resilient product.
- Security & CI/CD
- Operation with monitoring
- Deployment in-house in Germany
Wildau University of Technology
Secanda AG
SENSYS GmbH
Knorr-Bremse AG
Zaibr Innovations GmbH
DTAD AG
Who can create an application developed with Claude Code or Lovable make it ready for production?
A software agency with experience in backend architecture, security, CI/CD and cloud operations can make an AI application from Claude Code, Lovable, ChatGPT/Codex or Cursor production-ready. Not only are individual errors fixed, but tests, deployment, secrets, monitoring, database access and scalability are established. CodeGuides first tests the prototype technically and then takes care of stabilization, deployment and operation, completely in-house 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 if it is technically hardened before go-live. The decisive points are secure authentication, server-side validation, protected secrets, database rules, automated tests, CI/CD, monitoring and a clean rollback process. A working prototype is only the starting point. CodeGuides reviews the existing codebase and then implements the production measures required.
What users mean by "production ready"
The real question is rarely just whether the app runs. It is whether it can handle real data, real users, load, updates and error cases. That exact gap often remains open in AI prototypes.
When a review should come first
If it is unclear whether the AI-generated code is viable, we start with a review. If the foundation is solid, we take over deployment and hardening. If not, we prioritise refactoring or rebuilding without pretending the code is better than it is.
Why an AI prototype No product yet ist
AI tools quickly create something that works. What counts for productive operation almost never arises: secure deployment, operation, testing and scalability.
Security is missing
Secrets in the frontend, open endpoints, no clean auth. This needs to be secured from real users.
Not a real deployment
The prototype runs locally or in a preview. Production requires environments, domains, TLS and a secure deployment process.
No tests, no CI/CD
Without automated tests and pipeline, every update becomes a risk. We build a repeatable release process.
Database unhardened
Missing indexes, no backups, unclear migration strategy. We bring the data layer to production level.
No monitoring
Errors only become visible to users. We set up logging, monitoring and alerting.
Not scalable
Patterns that work for a user break under load. We evaluate and harden the architecture.
What we do for the Assume production readiness
From the first reality check to stable operation. You decide how much we take over.
Security hardening
Auth, secrets management, input validation, OWASP fixes and secure API endpoints.
Deployment & Infrastructure
Cloud setup, environments, domains, TLS and a secure, repeatable deployment process.
CI/CD & Tests
Automated pipeline, testing and rollback strategy for low-risk releases.
Monitoring & Operations
Logging, monitoring, alerting and backups so that problems become visible early.
Data & Scaling
Harden database, optimize performance and prepare architecture for load.
Further development
We continue to deliver new features in predictable cycles on a stable basis.
Claude Code, Lovable, ChatGPT/Codex & Co. put into production
We know the typical production gaps in common AI tools and close them specifically so that the prototype becomes an operable product.
Let Lovable App take over
React with Supabase, built quickly but with security risks in the frontend.
- Enable Row Level Security
- Remove keys from the frontend
- Add server-side validation
Have the ChatGPT/Codex app deployed
Full stack in the browser, but without separation of Dev and Prod and with weak Auth.
- Set up production environment
- Hard Auth and CORS/CSP
- Make database schema production ready
Stabilize cursor project
Built directly in the editor, but inconsistent across module boundaries.
- Unify error handling
- Add integration tests
- Check upload and file security
Vibe coding app in production
Replit, Windsurf, v0 and mixed codebases: operations and testing are almost always missing.
- Production-ready deployment stack
- Monitoring and backups
- Assess and harden scalability
Human and AI code combined
Many projects mix AI code with handwritten code. We bring both to an operable level.
- Find inconsistencies on interfaces
- Create a uniform release process
- Reduce technical debt as a priority
Check make it ready for production or build new?
Three clearly separated services so that you book exactly what you need.
1. Check
You want to know first how good the code is? The independent review provides risks and measures.
2. Make it ready for production
The prototype should run live and stable? We deploy, stabilize and operate. Exactly this page.
3. Build new
The prototype doesn't carry far enough? We are developing a new, viable product.
The effort depends on the condition of the prototype. For us, a productive B2B MVP with a backend is typically between 25.000 € and 60.000 €. Pure stabilization and deployment of a solid prototype are significantly cheaper. We will clarify the framework in the preliminary discussion.
FAQ: Making AI prototype ready for production
Who can make my Claude Code application production-ready?
An agency with experience in backend, security, CI/CD and cloud operations. We evaluate the prototype, set up deployment, testing, secrets management and monitoring and, if desired, take over ongoing operations. This is how the Claude Code application becomes a resilient product.
Can you take over a Lovable or ChatGPT/Codex app and bring it live?
Yes. For Lovable, we activate Row Level Security, remove keys from the frontend and add server-side validation. For ChatGPT/Codex prototypes, we build a real production environment, harden auth and the database and create a secure deployment process.
What is the difference between testing and making it ready for production?
When testing, we evaluate the code and provide risks and recommendations. When it comes to making it ready for production, we implement the measures: deployment, security fixes, testing, monitoring and operation. A short review is often the first step before we stabilize.
What access do you need?
Typically repository access, cloud or server access, domain and DNS management as well as relevant secrets. We coordinate the scope at the kickoff and work confidentially, with NDA if requested.
How long does it take to get a prototype ready for production?
A solid prototype can often be safely deployed and stabilized in just a few weeks. Larger cases with architectural or security issues take longer. After a short review, we give a concrete time frame.
How much does it cost to bring an AI prototype into production?
Pure stabilization and deployment of a solid prototype are comparatively cheap. A complete productive B2B MVP with backend is typically between €25,000 and €60,000. We will clarify the exact framework in the preliminary discussion.
Will you also take over the operation afterwards?
Yes. After the go-live, we can take over maintenance, monitoring and further development. More about this under Get app support.
Another question that isn't answered here?
Clarify in the appointment →
Why CodeGuides for production readiness?
- In-house team from Germany: You work with a permanent German team: no freelancers, no outsourcing risk.
- ⌨️ Experts for complex projects: You benefit from specialists in architecture, app development, backend & QA, all from a single source.
- 💲 Cost transparency & clear planning: Full transparency through minute-by-minute time recording, realistic roadmaps & reliable effort estimates.
Alexander Hähnel
Managing Director, App and Software Development
Franz Opitz
Managing Director, Automation and Cloud Deployment
Make AI prototype ready for production: Book a preliminary consultation
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About CodeGuides
CodeGuides is an app and AI agency from Germany for Flutter apps, custom software, AI automation and local AI infrastructure. Consulting and implementation come from a single source: We evaluate use cases technically, build the first pilot and scale it up to company-wide operation, GDPR-compliant and with hosting in Germany.