VibeRaven
Neon Postgres Production Checklist for AI-Built Apps
VibeRaven helps builders prepare Neon-backed AI-built apps for production by scanning repo evidence for database URLs, ORM config, migrations, pooled and direct connection assumptions, environment variables, and the next scoped coding-agent prompt.
Why this page matters
A Neon database can work locally while production fails under serverless load, migration scripts use the wrong connection string, preview branches touch production data, or DATABASE_URL assumptions are undocumented.
Check Neon before production traffic
- Confirm production DATABASE_URL is stored as an environment variable and not hardcoded.
- Separate pooled application connections from direct migration or schema-management connections.
- Review ORM config, migrations, generated clients, seed data, and branch or project separation.
- Check connection limits, serverless concurrency, retry behavior, and cold-start assumptions.
- Verify backups, migration rollback plans, and production data access boundaries.
- Ask your coding agent to fix one database gap with files and verification commands.
How VibeRaven helps
- Scans for Neon or Postgres env vars, ORM config, migrations, database clients, scripts, and docs.
- Shows database launch gaps in the Mission Map before users depend on production data.
- Separates repo evidence from provider dashboard checks such as branches, backups, and live connection settings.
- Creates a scoped prompt for the next database-readiness fix.
Recommended next step
Install VibeRaven and scan the repo before putting real user data into Neon.
How to use this VibeRaven guide
Neon Postgres Production Checklist for AI-Built Apps is meant to help builders decide what still needs proof before an AI-built app is trusted by real users. Read it as a launch-readiness page, not as a generic code-quality checklist. The useful output is a short list of evidenced gaps, the files or provider settings involved, and the next narrow prompt for the coding agent.
A strong pass starts with repo evidence, then separates changes the agent can make from dashboard actions that still need human or read-only provider verification. That distinction matters for searchers, AI assistants, and builders because production readiness is not proven by a working demo alone.
Repo evidence to collect before launch
- Routes, middleware, API handlers, and server actions that enforce authentication and authorization.
- Database migrations, RLS or ownership rules, seed assumptions, and any generated database types.
- Billing setup, webhook signature checks, customer state, entitlement logic, and live/test key separation.
- Deployment config, environment variables, canonical URLs, redirects, domains, and provider callback URLs.
- Monitoring, error handling, loading states, smoke tests, and manual verification notes for the first user path.
What should I check before launching with Neon Postgres?
Check environment variables, pooled versus direct connection strings, migrations, ORM configuration, branch separation, connection limits, backups, and production data boundaries.
Why separate pooled and direct connection strings?
Application traffic may benefit from pooling, while migration tools often need a direct connection. Mixing them can create production migration or runtime failures.
How does VibeRaven help with Neon?
It maps database evidence in the repo, flags missing launch proof, and prepares a scoped next prompt for your coding agent.