VibeRaven
From AI-built demo to production-ready app
This guide explains how VibeRaven helps builders move from a working AI-generated demo to a production-ready app with concrete launch evidence.
What changes before production
- Auth must be enforced server-side, not only hidden in the interface.
- Billing and webhooks need verified event handling and durable entitlement state.
- Database rules, migrations, and environment assumptions need repo evidence.
- Monitoring, error handling, and tests should cover the user paths that can break trust.
- The next coding-agent prompt should name files, constraints, and verification steps.
Agent handoff
VibeRaven is designed for Codex, Claude Code, Cursor, VS Code, and similar coding-agent workflows. The scanner 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.
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.
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.