WZ-IT assesses and migrates applications from Lovable, Bolt, Replit, Vercel or similar development environments into an isolated target environment in Germany. Your team keeps developing with its familiar AI tools; WZ-IT operates the infrastructure, deployment path and, where agreed, the application.
Companies worldwide trust WZ-IT
A working frontend says little about security boundaries, data model, recovery and operability. These areas are assessed separately before go-live.
Understand repository, build, libraries, generated components and external services and deploy them reproducibly.
Review login, roles, tenant separation, RLS, service keys and administrative paths against real user journeys.
Separate development, test and production, manage secrets and deploy changes with approval and fallback paths.
Align monitoring, logging, backups, restore, updates and incident paths with application criticality.
Explore principles, assessment criteria and operating paths for Section 203, Supabase, open source and AI-generated software in the knowledge cluster.
Open the professional secrecy knowledge clusterYour team can continue developing the application with AI tools and push changes to the Git repository. WZ-IT operates the target platform and automated deployment path with agreed review, approval and rollback procedures.
Prototype state
Production process
The actual effort depends more on architecture and integrations than on the AI builder used.
Assess codebase, architecture, dependencies, authentication, data model and critical user journeys before operations.
Move frontend, backend, database, storage and external services into a suitable cloud, private-cloud or hybrid architecture.
Set up reproducible builds, staging, approvals, deployments and rollback for controlled development.
Secure secrets, headers, network exposure, roles, logging and the technical attack surface.
Move database, storage, auth users and connected services through a test run and defined cutover.
Monitor, back up and update application and platform and respond to incidents under the agreed service level.
The service can begin before first go-live or with an application that is already in use.
Frontend and backend already exist but need to be separated from the rapid development setup, assessed and operated in a controlled environment.
A custom-generated application processes confidential content and needs clearly separated user roles, data paths and operational access.
An existing platform is being offered to professional secrecy holders and needs a suitable hosting and operating path.
The lifecycle combines technical assessment, migration path, target environment, Section 203 addenda and responsibility for deployments and operations.
Record code, services, data model, auth, storage, secrets and external dependencies.
Design environments, network, identities, backup, monitoring and operational boundaries.
Make build and deployment reproducible, migrate data and validate core journeys in staging.
Agree cutover and fallback, complete Section 203 addenda across the participating chain and start managed or co-managed operations.
Repository access is only required after agreeing the assessment scope. A short technical description is sufficient for the enquiry.
Related services for code assessment, co-development, open source and Supabase migration.
Prioritise code, auth, data paths, dependencies and deployment findings before migration or go-live.
View serviceTechnically improve Lovable, Bolt, Replit, v0 or other AI prototypes and make them ready for production operations.
View serviceResolve findings, implement integrations and continue developing the application together with your team.
View serviceIntegrate and operate additional open-source components within the same target architecture.
View serviceDescribe the tool, technical state, target users and required operating model. We propose the appropriate assessment and production path.
Operating models, applications, infrastructure and contractual integration
Yes, if code, dependencies and connected services can be moved into a reproducible and maintainable production path. The tool is only one part of the assessment; architecture, data and operability are decisive.
Yes. Your team keeps using its familiar AI coding tools and pushes changes to the agreed Git repository. WZ-IT operates the build and deployment path. Depending on the model, changes are deployed automatically to staging and promoted to the separate production environment after testing or approval. Direct deployments and defined rollbacks are also possible.
Not automatically. We first review codebase, data model, authentication, dependencies and critical user journeys. This determines which parts can remain, need hardening or should be replaced selectively.
Depending on the target, an existing backend can be retained, migrated or initially continue to be used. WZ-IT reviews database, Auth, Storage, Functions, RLS and application coupling as a separate work package.
The individual scope can include infrastructure and application monitoring, backups, recovery, updates, deployments, technical documentation and incident response. Service windows and responsibilities are agreed in advance.
No. WZ-IT can design the technical and organisational operating process around the specific use but does not replace legal review of the process, content or the controller's obligations.
Yes. Technical operations and software development can be offered separately or together. Corrections, integrations and new functions can then be deployed through the same controlled delivery process.
No risk: worst case, you leave with a clearer understanding of your project than before.


“WZ-IT's advice on our Azure migration was technically sound and completely non-binding right from the intro call - we took away a great deal.”
Whether a specific IT challenge or just an idea - we look forward to the exchange. In a brief conversation, we'll evaluate together if and how your project fits with WZ-IT.