Nezore fixes, secures, refactors and deploys apps built with Lovable, Bolt, Replit, Cursor, v0, Base44, Claude Code, Codex or ChatGPT, turning stuck prototypes into production-ready products.
From prototype to production
We do not promise that every generated codebase is worth saving. The first step is to assess the current state and recommend the cleanest path forward.
Ways to start
If you built an app with Lovable and it is not ready to launch or scale, start with a clear review. Then choose a verified repair or the ongoing support that fits your stage.
Assessment
A clear assessment of the app, its codebase and the practical path to repair. The €99 fee is credited toward an approved Verified Repair project.
Repair sprint
Make your app ready for production and market by repairing an agreed issue or workflow. Larger apps or multiple unrelated problems may need a custom quote.
Ongoing support
Got your first users? Time to scale your AI-generated app with steady technical support that keeps it ready for production.
Recovery
Stabilize a larger codebase through prioritized engineering work when one focused repair is not enough.
What we fix
Fast code generation is useful, but incomplete architecture, hidden assumptions and inconsistent code often appear when the prototype becomes a real product.
Assess structure, dependencies, configuration, duplicated logic and the main technical risks.
Trace runtime errors, build failures, broken features and inconsistent application behavior.
Repair broken UI, navigation, forms, state, responsive layouts and component behavior.
Fix backend endpoints, data flow, validation, authentication and database connectivity.
Resolve environment, build, server, domain and platform issues preventing a stable release.
Improve unstable areas, error handling and maintainability where the agreed scope allows.
Who this is for
This service is most useful when there is an existing repository, a clear intended workflow and specific problems to investigate.
Get an honest assessment of what works, what is broken and what should be fixed first.
Resolve difficult bugs, architecture problems, integration issues and deployment blockers.
Turn a demonstration into a more stable MVP through a structured repair process.
Get extra capacity for reviewing and recovering an AI-generated client or internal project.
Supported work
The exact repair scope is defined after reviewing the repository and current failure points.
Our process
The work is prioritized around reproducible problems and agreed acceptance criteria.
Review the repository, intended workflow, error reports, environment and deployment target.
Reproduce failures and identify the root causes, dependencies and technical risks.
Agree which issues will be fixed, what will not be changed and how success will be tested.
Repair the agreed frontend, backend, database, authentication or configuration problems.
Test the main workflows, create a production build and deploy to the agreed environment.
Document the work completed, setup requirements and recommended future improvements.
Technology
Support depends on the specific repository and technologies involved, but the service covers common modern full-stack and mobile stacks.
Why Nezore
Repairing generated code requires understanding the whole system: UI, backend, data, security, deployment and the intended business workflow.
FAQ
We can review projects built or assisted by tools such as Cursor, Claude Code, Codex, Lovable, Bolt, Replit, v0, Base44 and ChatGPT. The underlying framework and codebase determine the exact support.
No. Some codebases are faster and safer to rebuild than repair. We begin with an assessment and explain the recommended path before a larger engagement.
Yes, when the current structure is usable and the remaining requirements are clear. We first define what is missing and agree on a phased scope.
Yes. Deployment support can include environment configuration, production builds, database connectivity and launch on an agreed platform or server.
Usually the repository, setup instructions, error screenshots or logs, current live URL if available, required workflow, environment details and deployment target.
Critical issues can be included in the agreed scope. A full security or performance audit is separate from a basic bug-fixing engagement and should be planned explicitly.
Most repairs fall between €299 and €999 depending on scope. Start with the €99 Rescue Audit to get a fixed quote before committing to anything larger.
Yes. AI coding tools are built for speed, not production hardening — authentication, database permissions, and deployment configuration are the most common gaps. A short audit usually finds the root cause quickly.
No. Describe the problem in plain language — what should happen versus what is happening — and we take it from there.
Start with an assessment
Send the tool used, technology stack, repository status, current errors, deployment target, budget range and desired outcome. We will review the information and suggest the next practical step.
