Built with GPT Engineer?
Let's make sure it's production-ready.
GPT Engineer generates entire applications from natural language descriptions. It creates multi-file projects quickly but with prototype-level quality that needs significant hardening for production. We help non-technical founders identify and fix the issues AI tools leave behind.
Common issues we find in GPT Engineer code
These are real problems we see in GPT Engineer projects during our audits — not hypotheticals.
No authentication system
GPT Engineer generates functional UIs but typically skips authentication entirely. All routes and data are publicly accessible.
Direct database access from client
Some generated apps query databases directly from the frontend without an API layer, exposing database credentials and structure.
Incomplete feature implementations
Features that look complete in the UI but don't actually work end-to-end. Buttons that don't submit, forms that don't save, and links that go nowhere.
Missing error boundaries
A single component error crashes the entire application. No error boundaries or fallback UIs to gracefully handle failures.
No caching or optimization
Every navigation and interaction triggers fresh data fetches. No caching, no pagination, and no optimization for repeated access patterns.
No production build configuration
Projects are set up for development only. Production builds need configuration, optimization, and environment-specific settings.
No tests at all
GPT Engineer generates zero tests and doesn't set up testing infrastructure. There's no way to verify anything works correctly.
Monolithic file structure
All code in a handful of large files with no clear separation between features, pages, or layers.
How we can help with your GPT Engineer project
From security reviews to deployment, we cover everything you need to go from prototype to production.
Security Review
Deep security analysis and hardening
Fix Bugs
Resolve issues and unexpected behavior
Deploy & Ship
Get your GPT Engineer app to production
Refactor Code
Clean up AI-generated or legacy code
Performance
Make your GPT Engineer app faster and more efficient
Add Features
New functionality, integrations, capabilities
Testing
Add tests and improve coverage
Infrastructure
Set up and manage your GPT Engineer backend
Start with a self-serve audit
Get a professional review of your GPT Engineer project at a fixed price. Results reviewed by experienced engineers.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can GPT Engineer build a production app?
It can build a great prototype, but production readiness requires authentication, security hardening, error handling, and deployment configuration. We handle the gap.
How much work to make GPT Engineer output production-ready?
Depends on complexity, but typically needs auth, API security, error handling, environment config, and testing. We provide a clear scope and quote after reviewing your project.
Can you add auth to my GPT Engineer project?
Yes. We add authentication systems (email, Google, GitHub) with protected routes, session management, and proper access controls.
Is GPT Engineer code worth keeping?
Usually yes. The UI and basic logic are often good — they just need backend services, security, and production hardening added on top.
What's the fastest way to launch my GPT Engineer app?
Start with our code audit ($19) to identify what needs fixing, then let us handle the fixes. Most projects go from prototype to production in 1-2 weeks.
Related resources
Services
Comparisons
We also work with
Get your GPT Engineer app production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.