Built an application with Replit, Lovable, Base44, Bolt or another AI coding platform but cannot launch it confidently? We diagnose the real codebase, fix broken workflows, strengthen security, complete critical features and prepare the product for production.
If the platform no longer fits your product, we can also plan and execute a controlled migration of the application, database, authentication, files, integrations and deployment to infrastructure you own or control.
AI builders can turn an idea into a working interface quickly. The difficult part often appears later: real users, role permissions, payments, database rules, external APIs, deployment, performance, monitoring and safe operations. Repeated prompting may change the symptom without fixing the underlying architecture.
A new prompt fixes one screen but creates another regression, duplicate logic or inconsistent state.
Environment variables, routes, server functions, domains, callbacks or build settings fail after deployment.
Authentication, role checks, tenant separation, row-level security or client-side secrets are incomplete.
The core idea works, but payments, emails, uploads, dashboards, admin tools or edge cases block launch.
There is no clean repository, documentation, test coverage, deployment process or reliable handover path.
Cost, control, compliance, backend limitations or scaling needs make client-controlled infrastructure a better option.
Receive a practical view of the stack, dependencies, risks, missing pieces and recovery options.
Repair the underlying code, data flow and configuration rather than layering more prompts over recurring failures.
Define critical workflows, acceptance checks, deployment steps, monitoring and known limitations before release.
Move code into a controlled repository, document the system and reduce dependence on one person or builder.
Use evidence from the audit to select the safest and most economical path instead of assuming one answer.
Migrate portable parts and replace proprietary services through a planned, testable cutover.
Platform-built applications: Lovable, Replit, Base44, Bolt.new, v0 and similar exportable web-app builders
AI-assisted repositories: Cursor, Windsurf, Claude Code, OpenAI Codex, ChatGPT and other AI-assisted development workflows
Common application stacks: React, Next.js, Node.js, Express, TypeScript, JavaScript, Python, PHP, Laravel and WordPress
Common backends and data: Supabase, Firebase, PostgreSQL, MySQL, MongoDB, Replit Database and platform-managed services
Deployment targets: client-owned VPS, Docker, Nginx, AWS, Azure, Google Cloud, DigitalOcean, OVH, Vercel and other approved infrastructure
Map the current application before expanding the scope.
Resolve visible failures and the code paths causing them.
Protect accounts, roles and tenant data at the backend boundary.
Restore revenue-critical workflows and state changes.
Make generated AI features predictable enough for approved use cases.
Create a repeatable path from repository to working production release.
Migration is not simply downloading a ZIP and uploading it to a server. A reliable move separates every dependency the builder previously handled: source code, build process, backend logic, database, users, files, scheduled jobs, third-party integrations, domains, SSL, monitoring and backups.
Export or synchronize available source code, preserve history where possible, remove builder-specific assumptions and establish a client-controlled Git repository.
Configure the production build, routing, caching and runtime for a VPS, container, static host or approved cloud target.
Move portable functions or replace platform-managed backend behavior with Node.js, Laravel, Supabase, Firebase or another agreed architecture.
Export schema and records, map data types and relationships, migrate in a controlled window, validate counts and preserve a rollback copy.
Replace or reconfigure authentication, map roles and sessions, and plan password reset or account re-verification when credential portability is limited.
Transfer approved assets and user files, preserve paths or mapping rules, configure permissions and test uploads and downloads.
Recreate environment variables through a secure channel, rotate exposed keys, update OAuth callbacks and webhooks, and test every external provider.
Configure DNS, SSL, process management, backups, logs, monitoring, alerts, resource limits and recovery procedures for the approved target.
Use staging validation, a change window, final data sync, DNS cutover, post-launch checks and an agreed rollback trigger.
| Platform | What the initial review should expect | Migration implication |
|---|---|---|
| Lovable | Git sync or code download can provide the application code. Lovable documents standard Vite + React projects and portable data/configuration. Supabase-backed projects can follow a documented external or self-hosted path, but backend operations become the client’s responsibility. | Usually code-led; confirm Cloud vs. Supabase and all connected services. |
| Replit | Projects can be downloaded as ZIP or connected to Git. Replit-specific configuration, deployment secrets, managed database, storage and publishing behavior must be inventoried and recreated or replaced on the target. | Exportable code; managed services and production data require a separate migration plan. |
| Base44 | Builder plans can export frontend code, functions and collection data. Base44 states that managed hosting, authentication and database infrastructure are not exported. | Full independence may require a custom backend, authentication replacement and data-model reconstruction. |
| Bolt / v0 / similar | Source code may be exportable, while Supabase data, environment values, domains and external services are commonly separate from the repository. | Confirm the repository, backend provider, data ownership and secrets before estimating. |
| Path | Best fit | Commercial implication |
|---|---|---|
| Repair in place | Code is understandable, critical services work, and the platform remains suitable. | Fastest route; lower immediate change risk. |
| Stabilize, then migrate | Product has value, but platform control, cost or compliance is becoming limiting. | Reduces cutover risk by fixing critical flows before moving. |
| Partial migration | Frontend is portable, but backend, authentication or data needs a different home. | Move components in phases and keep a temporary hybrid architecture. |
| Targeted rebuild | Exported code is unsafe, duplicated, incomplete or tightly coupled to unavailable services. | Rebuild only the affected layer or workflow with acceptance criteria. |
| Full rebuild | Recovery cost approaches replacement cost and the current architecture cannot meet the product requirement. | Use only when evidence shows repair would preserve unacceptable risk or debt. |
Start with the closest visible need. The final package is confirmed after we review platform access, exported code, production impact, data and external dependencies.
Some isolated, reproducible issues can be resolved within one business day after code access, technical review and scope approval. The promise applies only to the approved issue—not the whole application.
Not sure where your issue fits? Send the symptoms you can see. We will help identify the likely scope before you commit to development.
A fast fix still needs a controlled process. We keep the engagement focused, explain what we find and test the affected flow before handover.
Tell us what is broken, what must work for launch and whether you want to remain on the current platform or evaluate migration.
We review the live application, repository or export, platform services, data, authentication, integrations and safe test path.
We recommend a quick fix, stabilization plan, partial migration, full migration or targeted rebuild with assumptions and exclusions.
The proposal defines milestones, access, deliverables, test cases, dependencies, cutover responsibilities and change control.
We implement approved code, data, backend, infrastructure and integration work in a controlled development or staging environment.
We test roles, payments, data access, APIs, emails, uploads, production builds and agreed business-critical paths.
We support release or migration, verify the live system and use the agreed rollback path if acceptance conditions are not met.
You receive the approved repository, environment guidance, migration notes, known limitations and an optional maintenance proposal.
The builder name is only the starting point. We inspect the generated framework, backend, database, services and deployment path.
Frontend, backend, database, APIs, authentication, hosting and monitoring are treated as one production system.
The recommendation can be repair, migration, replacement of one layer or rebuild—based on risk and effort, not a predetermined sale.
Code, infrastructure, credentials and documentation are organized around the client's approved accounts and handover requirements.
Staging, acceptance checks, backups, cutover planning and rollback conditions reduce avoidable release risk.
The initial response identifies what can be assessed immediately, what access is needed and whether paid discovery is appropriate.
You built a promising MVP with an AI platform but need an engineering partner for the final production gap.
Your product must pass real authentication, payment, data, security and deployment checks before users arrive.
You need greater infrastructure control, custom backend behavior, compliance planning or predictable operations.
You need a white-label technical assessment, recovery roadmap or implementation partner for a client codebase.
A rapidly built tool now contains operational data or workflows that require stronger access, reliability and ownership.
A freelancer, builder or AI workflow delivered an incomplete application and you need an evidence-based recovery path.
Share the platform, current state and desired outcome. We will review the information and recommend the safest first step before requesting sensitive access.
We will review the details and contact you with any questions, access requirements and next steps. We aim to respond within two business hours on business days.
AI-generated app recovery is the technical process of assessing, repairing, securing, completing and documenting an application created or heavily assisted by an AI builder or coding tool. The goal may be a stable launch on the current platform, migration to new infrastructure or a targeted rebuild where repair is not economical.
We can review applications built with Lovable, Replit, Base44, Bolt.new, v0 and similar tools, as well as repositories produced with Cursor, Windsurf, Claude Code, OpenAI Codex, ChatGPT and other AI-assisted workflows. Support depends on the exported code, underlying stack, data access and third-party services.
Yes. We can review Lovable project code, Supabase or Lovable Cloud dependencies, authentication, row-level security, server functions, APIs, deployment and production workflows. The exact recovery or migration path depends on whether the project uses Git sync, downloadable code, Supabase or other connected services.
Yes. We can diagnose code, environment, build, database, API and publishing issues in an exported or accessible Replit project. We can also prepare deployment on Replit or migrate suitable applications to another approved host after inventorying Replit-specific configuration and managed services.
Yes, after a discovery review. Base44 documents export of frontend code, functions and collection data on eligible plans, but its managed hosting, authentication and database infrastructure are not exported. A full move may therefore require a replacement backend, new authentication flow, data import and integration reconfiguration.
Often, yes. We can evaluate a client-owned VPS, Docker environment or approved cloud account and plan the frontend, backend, database, authentication, files, secrets, integrations, DNS, SSL, monitoring and backups. Feasibility depends on what the original platform exports and which services must be replaced.
That is the objective when the source platform provides sufficient export or database access, but it cannot be promised before discovery. We review schema, record counts, file storage, user identities, password portability and live-write activity, then define validation, cutover and rollback procedures.
Sometimes, but not always. Password hashes or identity-provider records may be unavailable or incompatible. When direct migration is not safe or supported, the plan may require password resets, invitation-based activation or account re-verification. This is confirmed before cutover.
A repository or export makes the assessment more reliable. If you currently have only platform access, we first confirm whether your plan and workspace permissions allow code, function and data export. We do not begin a full recovery or migration based only on screenshots or prompts.
It depends on the architecture. Some teams keep the builder for development while deploying externally; others fully transition to a normal repository and development workflow. Two-way synchronization, generated migrations and platform-specific services must be reviewed before choosing a hybrid setup.
No. Some codebases are faster and safer to replace in part or in full. We begin with an assessment, compare repair and replacement effort, identify risks and explain the recommended path before a larger engagement.
Many isolated and reproducible issues can be completed within one business day after access and scope confirmation. Multi-issue recovery, security redesign, data correction, backend replacement and migration require a custom estimate and milestone plan.
We review the approved scope for exposed secrets, client-side trust, authentication and authorization, tenant separation, database rules, input validation, file handling, dependencies, APIs and deployment configuration. A formal penetration test, compliance audit or incident response is a separate specialist scope.
The choice depends on the stack, traffic, database, background jobs, compliance needs, team capability and operating budget. Options may include a client-owned VPS with Docker and Nginx, managed frontend hosting, managed databases or cloud services on AWS, Azure or Google Cloud. We recommend the simplest architecture that meets the approved requirement.
An isolated fix may take a day after qualification. A production recovery can require one or more milestones, while a platform migration depends on code portability, users, data, files, integrations and cutover risk. We confirm the timeline after technical discovery.
Cost depends on codebase condition, issue count, platform access, backend and database, live users, integrations, testing and deployment. Migration also includes target infrastructure, data and identity work. We provide an estimate after review; platform, hosting and third-party charges are separate.
Yes. We can propose a stabilization window or monthly maintenance plan covering approved bug fixes, monitoring, dependency reviews, performance checks and minor improvements. Support hours, response targets, hosting operations and exclusions are defined separately.
Tell us what you built, what is blocking launch and whether you want to remain on the current platform or migrate. We will review the situation and recommend a clear technical starting point.
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