GPT Engineer App Production Checklist
The complete checklist for launching your GPT Engineer app. Every check you need before going live, written for non-technical founders.
GPT Engineer-specific concerns
Verify that every UI element actually works. GPT Engineer projects often have non-functional UI that needs to be connected to real logic
Security checklist
Authentication protects all private routes and API endpoints. Input validation on every form and data handler. No API keys or secrets in client-side code. Security headers configured (CSP, HSTS, X-Frame-Options). CORS restricted to your domain. Rate limiting on login and signup endpoints. HTTPS enforced everywhere.
Performance checklist
Images optimized and lazy-loaded. Code splitting implemented. Lighthouse performance score above 80. Database queries have indexes on filtered columns. Pagination on all data lists. Static assets served with cache headers. No unnecessary client-side JavaScript.
Reliability checklist
Error tracking configured (Sentry or similar). Custom error pages for 404 and 500 errors. Error boundaries catch rendering failures gracefully. Loading states on all async operations. Graceful handling of network failures. Health check endpoint for monitoring. Database backups configured.
Full checklist
Every button, form, and link actually works. Authentication system implemented. Real database replacing mock data. API layer between frontend and database. Input validation on all forms and endpoints. Error handling and error pages. Loading states for all async operations. Empty states for no-data scenarios. Pagination for data lists. Image optimization. Environment variables for all configuration. CORS configured. Security headers set. Custom domain and SSL. Monitoring configured
Not sure if you pass?
Our security scan ($19) and code audit ($19) check for all of these issues automatically. Upload your code and get a detailed report within 24 hours. If you need help fixing what we find, our team is here for that too.
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Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
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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
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Related guides
How to Deploy Your GPT Engineer-Built App
Step-by-step guide to deploying your GPT Engineer app to production.
Common Bugs in GPT Engineer-Generated Code
The most common bugs we find in GPT Engineer apps and how to fix them.
Security Issues in GPT Engineer Code
Critical security vulnerabilities commonly found in GPT Engineer-generated apps.
Optimizing GPT Engineer-Generated Code for Performance
How to make your GPT Engineer app faster.
Related technologies
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