VibeRaven Resources

Featured launch resources

• Production Readiness Checklist for AI-Built Apps: AI-built apps can reach demo quality quickly, but demo quality is not production readiness. Use this checklist before real users touch the product.
• How to Debug AI-Generated Code Before Launch: AI-generated code often works on the visible path but fails around edge cases, integrations, and production config. Use this debugging workflow before launch.
• AI-Generated Code Security Risks Before Launch: AI-generated code can ship fast, but production security still needs deliberate checks. Start with auth, secrets, data access, payments, API routes, and logs.
• Coding-Agent Prompts for Production Fixes: The prompt "make this production-ready" is too broad. Use scoped prompts for auth, database, payments, deployment, monitoring, and tests.
• Supabase Production Checklist for AI-Built Apps: Supabase makes AI-built apps fast to ship, but RLS, migrations, and auth callbacks need a deliberate pass before production.
• Vercel Deployment Checklist for Vibe-Coded Apps: Vercel deploys are easy to start and easy to misconfigure. Check env vars, builds, and domains before you send traffic.
• Next.js AI App Launch Checklist: Next.js AI apps mix server and client boundaries. Check auth, data, and deploy paths before launch.
• Why Your AI-Built App Works Locally But Breaks in Production: Production-only failures usually come from hidden assumptions: environment variables, callback URLs, webhook endpoints, build differences, or provider state.
• Stripe Webhook Not Firing in Production: What to Check: A pricing page is not production billing. Stripe launch readiness depends on checkout, webhook verification, subscription state, and entitlements.
• Supabase RLS Production Checklist for AI-Built Apps: Supabase can make a demo feel complete fast, but production readiness depends on policies, ownership checks, migrations, and safe data access.
• Vercel Environment Variables: Why Production Breaks After Deploy: Many production deploy failures are environment mismatches: local values exist, but production, preview, or build-time values are missing or stale.

What these resources cover

The resource library focuses on the parts of AI-built apps that often look finished before they are safe to launch: authentication, database access, payments, deployment, monitoring, tests, and coding-agent handoff.

How to use this VibeRaven guide

VibeRaven Resources 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.

Who are these resources for?

They are for builders using coding agents who need a production-readiness workflow before a demo becomes a live product.