Built an app with Lovable, Replit, Bolt, Cursor, Claude, ChatGPT, or another AI coding tool? It looked great at first. Then the bugs started appearing. A feature breaks when you change another one. APIs stop responding. Authentication behaves strangely. Payments fail. Deployment becomes a headache. And every new AI prompt seems to fix one problem while creating another.

NeuralSol helps founders and businesses stabilize, refactor, and fix vibe code applications without throwing away the work that already exists.

Fix Vibe Code and convert to production deployment
Audit, diagnose, fix, refactor, test, and deploy your AI-built application.

From debugging a single blocker to rebuilding critical parts of a fragile codebase, we help turn your vibe-coded project into software you can confidently launch, maintain, and grow.

Get Your Vibe Code Reviewed

Your AI Built the Prototype. Now It Needs Real Engineering.

AI coding tools have changed how quickly software can be created.

You can go from an idea to a working interface in hours.

But getting an application to work reliably for real users is a different challenge.

AI-generated code can contain duplicated logic, incomplete error handling, fragile integrations, incorrect assumptions, weak security controls, and architecture that becomes difficult to change as the application grows.

That doesn’t mean your project needs to be thrown away.

It means the code needs to be understood, tested, and engineered properly.

NeuralSol can inspect what you already built, identify what is actually causing the problems, and fix the parts that need attention.

What Can We Fix in Your Vibe-Coded App?

Whether you have one frustrating bug or an application that has become difficult to maintain, we can help.

Bug & Error Fixing

We investigate errors instead of repeatedly patching symptoms.

We can troubleshoot:

  • Broken features
  • JavaScript and frontend errors
  • Backend exceptions
  • API failures
  • Incorrect application logic
  • Forms that don’t work
  • Broken user flows
  • Unexpected application behavior
  • Errors appearing only in production

AI-Generated Code Cleanup

AI can produce working code quickly, but that code may not always be organized for long-term development.

We can identify:

  • Duplicated functionality
  • Unnecessary code
  • Fragile implementations
  • Inconsistent patterns
  • Poor separation of concerns
  • Difficult-to-maintain components
  • Technical debt created during rapid development

The goal isn’t to rewrite everything.

We improve the parts that actually need improving.

Authentication & User Management

Login problems can become serious when an application starts handling real users.

We can work on:

  • Login and registration
  • Password reset flows
  • Role-based permissions
  • Protected routes
  • Session management
  • OAuth integrations
  • User access controls
  • Authentication-related bugs

API & Integration Problems

Your application may look perfect while the systems behind it aren’t communicating correctly.

We can troubleshoot and integrate REST APIs, third-party services, webhooks, payment gateways, CRM systems, email services, AI APIs, dropshshipping APIs, internal business systems, and custom backend services.

Database Issues

AI-generated applications frequently depend on databases such as Supabase, PostgreSQL, MySQL, MongoDB, or Firebase.

We can help with:

  • Database connection problems
  • Incorrect queries
  • Data validation
  • Schema problems
  • Relationships
  • Authentication/database permissions
  • Performance issues
  • Data synchronization
  • Backend/database integration

Payments & Checkout

If your application accepts money, “almost working” isn’t good enough.

We can troubleshoot:

  • Stripe integrations
  • Payment flows
  • Checkout problems
  • Webhooks
  • Payment status handling
  • Subscription logic
  • Order creation
  • Failed transactions
  • Customer/payment synchronization

Performance Optimization

A prototype that works for a few users can behave very differently under real traffic.

We can investigate:

  • Slow pages
  • Heavy frontend bundles
  • Inefficient database queries
  • Slow API requests
  • Excessive network calls
  • Poor caching
  • Backend bottlenecks
  • Resource-heavy components

Security Hardening

AI-generated code should not automatically be assumed to be secure. Research on security vulnerabilities in AI-generated code found thousands of vulnerability instances across AI-generated source files, highlighting the importance of reviewing and validating AI-generated software before production.

We can review areas such as:

  • Authentication
  • Authorization
  • API access
  • Exposed secrets
  • Input validation
  • Database permissions
  • Sensitive data handling
  • Third-party integrations
  • Common web application vulnerabilities

Deployment & Production Issues

Your application works locally.

Then production says otherwise.

We can help resolve:

  • Build failures
  • Environment variables
  • Hosting configuration
  • Domain configuration
  • SSL issues
  • Database connectivity
  • Production API configuration
  • CI/CD problems
  • Docker deployment
  • Cloud deployment
  • Server configuration

We Can Work With the AI Tool You Used

You don’t need to rebuild your application just because it was created with an AI coding platform.

We can work with applications created using:

Lovable
Replit
Bolt
Cursor
v0
Claude
ChatGPT
GitHub Copilot
Other AI coding tools

And because the final application is still software, our work extends beyond the AI tool itself.

We work across technologies including:

  • React
  • Next.js
  • Node.js
  • Express
  • PHP
  • Laravel
  • Python
  • JavaScript
  • TypeScript
  • WordPress
  • WooCommerce
  • PostgreSQL
  • MySQL
  • MongoDB
  • Supabase
  • Firebase
  • REST APIs
  • AI/LLM integrations
  • Docker
  • Cloud deployments

The tool used to generate the code doesn’t determine whether we can fix it. The actual application does.

Don’t Start Over. Find Out What’s Actually Broken.

One of the biggest mistakes founders make with a problematic AI-built application is assuming the entire project needs to be rebuilt.

Sometimes it does.

Often, it doesn’t.

Before recommending a rewrite, we look at the existing application and determine:

What is working?

We identify the parts that already provide value and shouldn’t be unnecessarily disturbed.

What is broken?

We trace failures back to their underlying causes rather than repeatedly applying surface-level fixes.

What is fragile?

Some code technically works but is likely to cause problems when new features are added.

What needs refactoring?

We identify areas where restructuring will make the application safer and easier to maintain.

What should actually be rebuilt?

If a part of the system is fundamentally unsuitable for production, we’ll tell you rather than wasting time trying to patch it indefinitely.

You get an engineering recommendation based on the application itself, not an automatic rebuild proposal.

From AI Prototype to Production-Ready Application

We can help at different stages of the journey.

Stage 1: Your prototype works

You’ve proven the idea and have something users can interact with.

Stage 2: Problems start appearing

Bugs, integrations, authentication, database issues, deployment problems, and inconsistent behavior begin slowing you down.

Stage 3: Engineering cleanup

We diagnose the application, fix critical issues, improve the architecture, and remove unnecessary technical debt.

Stage 4: Production preparation

We address the areas that matter before real users depend on the application.

Stage 5: Continued development

Once the foundation is stable, adding features becomes much less risky.

The objective isn’t simply to make your demo work again. It’s to give you a codebase you can continue building on.

What We Can Do for Your Project

Every vibe-coded application is different, so we don’t force every project into the same package.

Targeted Bug Fixes

Have one feature that refuses to work?

We investigate the problem, identify the root cause, and implement the required fix.

Codebase Audit

Not sure what condition your AI-generated application is actually in?

We can review the codebase and identify technical, architectural, security, and production concerns.

Refactoring & Cleanup

Your application works, but the code has become difficult to understand or modify.

We restructure the problematic areas while preserving working functionality wherever possible.

Feature Completion

Your AI tool got you 80–90% of the way there, but the final functionality isn’t working correctly.

We can complete missing functionality and connect the pieces properly.

Production Readiness

Your application is ready for users but you aren’t confident about deployment, security, performance, or reliability.

We can help prepare the application for production.

Ongoing Development

Once the application is stable, NeuralSol can continue working with you on new features, integrations, improvements, and maintenance.

Our Vibe Code Fixing Process

01. Tell Us What You Built

Send us your application, repository, staging URL, screenshots, error messages, or whatever information you have.

You don’t need to write a technical report.

Just tell us what you built and what isn’t working.

02. We Investigate

We inspect the relevant parts of the application and reproduce the problem where possible.

Instead of immediately changing code, we first try to understand what is actually happening.

03. We Identify the Right Fix

Some problems need a small code change.

Others require refactoring, architectural changes, configuration fixes, or a more substantial rebuild.

We’ll determine which approach makes sense.

04. We Implement the Changes

Our developers fix the identified issues and improve the affected parts of the application.

Where possible, we preserve the functionality that already works.

05. We Test

We don’t stop when the error disappears.

We test the affected functionality and check that the fix hasn’t introduced another problem elsewhere.

06. We Help You Move Forward

Once the application is stable, we can help with deployment, further development, integrations, optimization, or ongoing maintenance.

Why Use NeuralSol to Fix AI-Generated Code?

We Understand Both AI and Traditional Software Engineering

Vibe coding is not a replacement for engineering.

It’s a new way of getting software started.

Our team combines AI development workflows with experience across frontend development, backend systems, databases, APIs, AI automation, integrations, and production applications.

That allows us to work with the code you already have rather than treating AI-generated code as an entirely separate category of software.

We Look Beyond the Immediate Error

A broken button might not actually be a button problem.

A failed API request might be caused by authentication.

A database error might originate in the application’s data model.

We investigate the surrounding system so the fix addresses the underlying issue.

We Don’t Automatically Recommend a Rewrite

If your existing application has useful, working functionality, we’ll look for ways to preserve it.

If something genuinely needs to be replaced, we’ll explain why.

We Can Handle the Whole Stack

Your problem might cross multiple layers of the application.

  • Frontend.
  • Backend.
  • Database.
  • API.
  • Authentication.
  • Payments.
  • Deployment.
  • AI integrations.

You shouldn’t have to hire a different person for every layer.

We Can Keep Developing After the Fix

Fixing the vibe coded application is often only the beginning.

Once the foundation is stable, we can continue developing features and integrations as your product grows.

Who Is This Service For?

Founders Who Built an MVP With AI

You moved quickly, validated your idea, and now need an experienced developer to take the project further.

Businesses With an Internal Prototype

Your team created an internal tool with AI and now needs it stabilized before more people start depending on it.

Startups Preparing to Launch

The product is close to launch, but technical issues are preventing you from confidently putting it in front of customers.

Agencies With a Difficult AI-Built Project

You have a client project that needs experienced engineering support to finish, debug, or stabilize.

Teams That Need Extra Engineering Capacity

Your existing developers understand the product but don’t have enough time to clean up the AI-generated implementation.

Already Tried Asking AI to Fix It?

This is one of the most common situations we see.

You describe the bug.

The AI changes the code.

The original bug disappears.

Then another feature stops working.

You ask it to fix that.

Another dependency changes.

Then the application behaves differently again.

At some point, you’re no longer solving the original problem.

You’re accumulating patches.

That’s where an experienced developer can make a difference.

We can step back, understand the system as a whole, and decide what should be fixed, refactored, replaced, or left alone.

Your Vibe-Coded App Doesn’t Have to Stay a Prototype

AI gave you a faster way to build the first version.

Now you need software that can survive beyond the demo.

NeuralSol can help you move from:

AI-generated code → Debugged application → Stable codebase → Production deployment → Continued development

You don’t necessarily need to start over.

You need to understand what you have, fix what is wrong, and build the next stage properly.

We'll help you figure out what needs fixing and the best way to move forward.

Ready to Fix Your Vibe-Coded App?

Fixing vibe code means diagnosing and improving an application that was built substantially with AI coding tools. Depending on the project, this can include debugging, refactoring, completing features, fixing integrations, improving security, optimizing performance, and preparing the application for production.

Yes. We can work with applications created using Lovable, Replit, Bolt, Cursor, v0, Claude, ChatGPT, GitHub Copilot, and other AI-assisted development tools. The important factor is the application's underlying technology and condition, not which AI interface was used to create it.

No. We first assess the existing application. If the current code can be repaired or improved, we'll preserve as much useful work as practical. If a specific component needs to be replaced or rebuilt, we'll explain the reason.

Yes. When repeated AI fixes are causing new problems, the issue may be deeper than an individual bug. We can inspect the affected architecture, dependencies, state management, data flow, and business logic to determine why changes keep creating regressions.

Yes. We can troubleshoot build failures, environment variables, hosting configuration, domains, APIs, databases, Docker, CI/CD, and other production deployment issues.

Yes. A pre-launch technical review can identify issues that may not be obvious during development, including authentication, permissions, data handling, API behavior, performance, deployment configuration, and maintainability concerns.

Yes. After understanding the existing codebase, we can implement new features, integrations, APIs, dashboards, payment functionality, AI capabilities, automations, and other application requirements.

Usually, we need access to the relevant code repository or project files, the application URL if available, and a description of what you want fixed. If you have error messages, screenshots, logs, or a list of known problems, those can also help.

It depends on the condition and scope of the application. A single bug may require only a focused fix, while a larger application may need an audit, refactoring, security work, feature completion, or production preparation. We'll review the requirements before recommending the appropriate scope.

Yes. After fixing or stabilizing an application, we can continue supporting it through maintenance, new features, integrations, performance improvements, and further development.