Development
Delivery Models
Did you build your app with Lovable, Bolt, Cursor, or Replit, and now it’s gaining real users? We turn it into secure, scalable, production-ready software, preserving what works and fixing or rebuilding only what puts future growth at risk.
You already proved the idea. Now you need professional engineering to take it further.
The product works and users want it, but the current architecture starts struggling as traffic, data, features, and business logic grow.
You shipped fast, but every new integration, workflow, or custom feature adds complexity the current codebase was not designed to support.
As the product grows, technical debt, security vulnerabilities, inconsistent code, and limited test coverage can quickly become harder to manage.
As the product grows, AI-generated code can start creating risks that may be acceptable during experimentation, but cannot be ignored once the software moves into production.
Every AI-assisted codebase is different. We validate the product against production requirements, preserve the parts that are structurally sound, fix what creates risk, and rebuild only what cannot safely support the next stage.
Once AI-generated or heavily AI-assisted code becomes part of a real product, isolated fixes are not enough. It needs an engineering foundation that can support production use, further development, integrations, security, and scale.
That is why Inoxoft approaches vibe coding cleanup as product rescue and productionization, not just code refactoring.
We review the parts of your AI-assisted product that determine whether it can scale, stay secure, integrate with other systems, and remain maintainable as development continues.
We review structure, dependencies, duplicated logic, code consistency, and architectural decisions that can limit future development.
We start by assessing the existing product against its production requirements and future roadmap.
Duplicated logic, inconsistent patterns
Unvalidated, undocumented endpoints
Authorization gap, exposed secrets
Tangled state, unclear ownership
No migrations, queries under load
No retry or failure handling
No monitoring, alerting or rollback
If you are looking for vibe coding cleanup as a service, the assessment gives you a defined engineering scope before you commit to a broader remediation project.
You leave with a prioritized remediation plan rather than a generic recommendation to rewrite the product.
Get a Product Readiness Assessment →A product that keeps the value you already created, but now has the engineering foundation to support what comes next.
The critical technical risks are addressed, the codebase is stabilized, and the product is ready for controlled production use and continued development.
Architecture, infrastructure, and data flows are prepared for growing usage, more complex workflows, and increasing product demands.
New custom features, integrations, and business logic can be added without continuously fighting the limitations of the original implementation.
Security gaps, testing weaknesses, and release risks are addressed with the engineering controls required for real users and business data.
Clearer structure, documentation, testing, and development practices make it possible for your internal team or another engineering partner to continue building confidently.
The parts that already worked remain part of the product. Engineering effort goes into strengthening or replacing only what was holding it back.
Taking over an AI-assisted product requires more than writing better code. The team needs to understand the existing system, separate real engineering risks from cosmetic issues, and make changes without breaking the product value that is already there.
Experienced engineers review the system as a whole and make decisions based on architecture, security, scalability, maintainability, and business priorities.
You do not need to rebuild the product around our preferred stack or development process. We start with your current codebase and improve it where it makes engineering sense.
We prioritize the issues that can affect users, security, reliability, integrations, and future development before spending effort on changes that do not materially improve the product.
The goal is not to replace AI-assisted development with slower traditional workflows. We put engineering controls around it so your team can continue using AI without letting technical risk grow unchecked.
The engagement leaves behind a more understandable codebase, clearer engineering practices, and a foundation your internal team or future development partner can continue working with.
Five stages, in order. Each one ends with something your team can verify before the next begins.
We review your AI-assisted product against production requirements and return a prioritized remediation plan — before anything gets rewritten.
Once we know what can stay, what needs fixing, and what should be rebuilt, we recommend the delivery model that best fits the scope, complexity, and level of ownership your product needs.
Best for a focused rescue scope that one senior engineer can own end to end, using AI agents across analysis, development, QA, and delivery.
Explore →Best when the assessment shows that a larger part of the product needs to be reworked or rebuilt and requires full ownership across product, engineering, QA, and delivery.
Explore →Best when your internal team will continue owning the product, but needs additional senior engineers to execute the remediation plan inside your existing development process.
Explore →Vibe coding cleanup services help turn AI-generated or heavily AI-assisted software into a production-ready product. The work can include architecture stabilization, security hardening, testing, scalability improvements, integrations, and selective rebuilding.
