JetBrains AI App Production Checklist
The complete checklist for launching your JetBrains AI app. Every check you need before going live, written for non-technical founders.
JetBrains AI-specific concerns
JetBrains AI code needs review for Spring-specific pitfalls — correct Security configuration, proper transaction handling, and JPA behavior that only manifests at runtime
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
Spring Security endpoint authorization configured and tested. Method-level security annotations applied where needed. No string-concatenated JPQL or SQL. JPA fetch strategy correct (no N+1 queries). Transaction boundaries correct for multi-step operations. Kotlin nullable types handled consistently. No unchecked exceptions swallowed without logging. Bean injection uses constructor injection, not field injection. Integration tests use Testcontainers, not H2. CORS configuration restricted to known origins. Input validation with Bean Validation annotations. Error responses don't expose stack traces. Flyway or Liquibase migration added for schema changes. New dependencies compatible with existing dependency tree. Feature tested end-to-end in staging environment
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Related guides
How to Deploy Your JetBrains AI-Built App
Step-by-step guide to deploying your JetBrains AI app to production.
Common Bugs in JetBrains AI-Generated Code
The most common bugs we find in JetBrains AI apps and how to fix them.
Security Issues in JetBrains AI Code
Critical security vulnerabilities commonly found in JetBrains AI-generated apps.
Optimizing JetBrains AI-Generated Code for Performance
How to make your JetBrains AI app faster.
Related technologies
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