Codex CLIDeploy & ShipBeginner-friendly

Codex CLI App Production Checklist

The complete checklist for launching your Codex CLI app. Every check you need before going live, written for non-technical founders.

Codex CLI-specific concerns

The primary concern with Codex output is production hardening - adding the error handling, security controls, and observability that Codex skips in the interest of conciseness

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

All user inputs validated and sanitized before use. No shell injection via string interpolation in subprocess calls. File paths derived from input properly restricted. API endpoints require authentication. Credentials loaded from environment variables, not hardcoded. Database connections use pooling. All promises awaited and rejections handled. Python exceptions caught and logged with context. Logging configured at appropriate levels. Input type checking with TypeScript or Python type hints. Unit tests cover happy path and edge cases. Error responses return appropriate HTTP status codes. No sensitive data in logs or error messages. Dependency versions pinned in requirements.txt or package.json

Monitoring and alerting

Launching without monitoring is like driving without a dashboard - you won't know something is wrong until it's too late. Set up Sentry (free tier available) for error tracking: it captures every unhandled exception with full context including the user's browser, the request that triggered it, and the exact line of code that failed. This alone will save you hours of debugging because users rarely report errors with enough detail to reproduce them. Add uptime monitoring with UptimeRobot, Better Stack, or Pingdom - these services ping your site every few minutes and alert you immediately when it goes down. For log aggregation, your hosting platform's built-in logs work for small apps, but as you scale, a dedicated service like Datadog or LogTail makes it possible to search and filter logs across time periods. Set up alerts for three critical scenarios: your site goes down, your error rate exceeds 1% of requests, or your API response time exceeds 3 seconds. Route these alerts to Slack or email so you can respond quickly without checking dashboards manually.

Backup and disaster recovery

If your database disappears tomorrow, can you recover? Most Codex CLI apps don't address this until it's too late. If you're using Supabase, automated daily backups are included on paid plans, with point-in-time recovery available on Pro plans and above. For other databases, configure automated backups through your hosting provider or set up pg_dump on a cron job for Postgres. Test your backups by actually restoring one to a test environment - a backup you've never tested is not a backup. Beyond the database, document everything needed to rebuild your app from scratch: environment variables, third-party service configurations, DNS settings, and deployment steps. Keep this in a private document outside the app itself. Have a rollback plan for bad deployments: know how to revert to the previous version on your hosting platform (most keep deployment history). For Stripe webhooks and other integrations, understand that rolling back code doesn't roll back data changes, so your recovery plan needs to account for data that was modified between the bad deploy and the rollback.

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