From AI-built demo to production-ready app
For AI-built apps on Vercel + Supabase, VibeRaven reads only repository files and turns findings into scoped tasks for Codex, Claude Code, Cursor, and VS Code. It is advice, not a gate, and a repository check, not a live database or security test. Deployed behavior and provider configuration need separate evidence.
What changes before production
A demo can load while private data access or payment state remains untested. Review the code, confirm the intended provider configuration and test the affected user journey on an authorized test deployment.
- Auth is enforced server-side, not only in the UI.
- Billing and webhooks are wired end-to-end.
- Database rules, migrations, and env assumptions have repo evidence.
- Monitoring, error handling, and tests cover the risky paths.
- The next prompt names files, constraints, and verification steps.
An illustrative private-note verification sequence
This is a proposed workflow, not an observed customer result. Use disposable records on an authorized test deployment. Results begin as NOT TESTED.
- Record the commit or project revision, deployment URL, read route and intended private-data access contract.
- Inspect the relevant repository query, server identity checks and database policies. Confirm applied migrations and provider configuration separately.
- As ordinary user A, save and reload a private note. As unrelated ordinary user B in a separate session, request that note through the supported read path. A should receive it; B should receive a denial or empty response with no private fields. Inspect the actual response bodies.
- Record expected and actual behavior, roles and redacted evidence. Mark each check VERIFIED, FAILED or NOT TESTED. Shared or team data needs its own membership contract; these requests establish only the read path tested.
- Repair one failure, record the new deployment and repeat the allowed and denied requests. Keep untested operations visible.
Agent handoff
VibeRaven works with Codex, Claude Code, Cursor and similar coding agents through the terminal and the .viberaven/ files. The check does not replace the agent. It gives the agent a narrower task with a reason, evidence, and a verification target.
How to use this VibeRaven guide
From AI-built demo to production-ready app 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. The list further down is for you to check yourself; it is not VibeRaven output.
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.
Things to check yourself before launch (not VibeRaven output)
- 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.
Is a working AI-built demo production-ready?
No. A demo proves the happy path loads. Production readiness requires reliable auth, data, billing, deployment, monitoring, tests, and provider setup.