Production Readiness Scanner for AI-Built Apps

Why this page matters

Builders using Cursor, Claude Code, Codex, or Lovable move fast, but "production-ready" is vague. Without a scanner-style map, every agent session risks fixing the wrong layer.

What a good scanner should check

• Detect real stack evidence from packages, routes, config, and docs—not guesses.
• Group findings by product area: auth, database, payments, deployment, monitoring, tests.
• Flag half-wired or missing setup with clear risk, not generic lint noise.
• Keep external provider dashboard verification separate from repo claims.
• Output one scoped next prompt per gap for the coding agent you already use.
• Support re-scan after fixes so launch progress is visible over time.

How VibeRaven helps

• VibeRaven is a production readiness scanner built for AI-assisted development workflows.
• It runs in VS Code-compatible editors and reads the repo you already have.
• The Mission Map is the stack and gap view; Put in Chat is the agent handoff.
• It is not a starter kit, security audit, or autonomous code writer.

Recommended next step

Try VibeRaven on one real repo and replace vague launch prompts with a mapped next fix.

How to use this VibeRaven guide

Production Readiness Scanner 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 is a production readiness scanner?

A developer tool that checks whether a fast-moving project has the systems needed for real users and summarizes launch gaps from codebase evidence.

How is VibeRaven different from a linter?

Linters focus on code quality. VibeRaven focuses on launch systems—auth, billing, deploy, monitoring—and agent-ready next steps.

Who should use a production readiness scanner?

Solo builders, indie hackers, and small teams shipping AI-built apps who need clarity before inviting users or enabling payments.