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.

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.
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.