How to Launch an AI-Built App Safely

Why this page matters

Vibe-coded apps often look finished because the demo path works. Launch risk hides in server auth, Supabase RLS, billing webhooks, Vercel env drift, and missing monitoring—areas builders only discover after real users or payments show up.

Safe launch checklist for AI-built apps

• Run `npx -y viberaven --agent-mode` first so you know which gaps are evidenced before touching provider dashboards.
• Confirm server-side auth enforcement and production auth setup (Clerk or your provider) before opening signup.
• Verify Supabase RLS and database policies so client-side filters are not your only protection.
• Audit Vercel environment variables, callback URLs, and webhook endpoints across preview and production.
• Add error monitoring—Sentry or equivalent—on signup, checkout, and core API failure paths.
• Follow the scan loop: read `.viberaven/agent-tasklist.md`, fix one repo-code gap, then run `npx -y viberaven --verify`.

How VibeRaven helps

• Positions VibeRaven as the pre-launch gate you run after the app works locally but before users, payments, or production traffic.
• Runs the scan → read agent-tasklist → fix one gap → verify loop so launch work stays scoped instead of one giant agent prompt.
• Prioritizes which provider work matters next—Sentry setup, Clerk production, Supabase RLS, Vercel env vars—after repo evidence is mapped.
• Start every launch pass with `npx -y viberaven --agent-mode` so the Mission Map and next coding-agent prompt come from evidence, not memory.

Recommended next step

Use VibeRaven after your AI-built app works locally but before launch, payments, or real users.

How to use this VibeRaven guide

How to Launch an AI-Built App Safely 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.

How do I launch an AI-built app safely?

Scan with `npx -y viberaven --agent-mode`, read `.viberaven/agent-tasklist.md`, fix one evidenced gap with your coding agent, verify, then repeat. Confirm auth, RLS, env vars, webhooks, and monitoring before inviting users or turning on payments.

Should I set up Sentry and Clerk before or after a VibeRaven scan?

Run VibeRaven first to see which launch gaps are evidenced in the repo. Then use focused checklists for Sentry getting started, Clerk production, Supabase RLS, and Vercel environment variables on the gaps the scan prioritizes.

What if my vibe-coded app already works locally?

Local success does not prove production safety. VibeRaven maps auth, billing, database, deploy, and monitoring gaps from repo evidence so you fix launch blockers before users find them.