Clixad
Freemium
Developers who prefer terminal workflows
AI coding agents build convincing demos before the production wiring is done — auth routes look complete until a real user hits a callback that was never registered, or a webhook fires without signature verification. VibeRaven exists to close that gap before launch, not after.
VibeRaven scans a repo against a production-readiness checklist covering auth boundaries, billing flows, database migration state, deployment config, and monitoring — then generates a focused prompt for the next coding-agent session based on the specific evidence gaps it finds. The distinction it enforces is useful: changes the agent can make in the repo versus dashboard actions that require a human to touch Stripe, Vercel, Supabase, or Clerk directly. The docs describe a freemium hosted scanning interface with a free scan limit, plus an npx CLI path for local runs. Where it breaks is scope — VibeRaven reads repo evidence and provider configuration signals, but it does not run your app or simulate live traffic, so gaps that only appear under real request conditions are outside its detection range.
Bottom line: Use it to audit an AI-built app before the first real user touches it; expect to pair it with actual integration tests when your billing or auth flows need runtime verification, not just static evidence.
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More options in CLI Coding Agents. Compare pricing, platforms, and features side by side.
Freemium
Developers who prefer terminal workflows
Freemium
Developers preferring fully local agent execution
AI coding tools ship plausible-looking code before production systems are fully wired. VibeRaven scans the repo for evidence of production readiness across five domains — auth and authorization, billing and webhook verification, database migrations and row-level security, deployment configuration, and monitoring — then produces a short list of evidenced gaps, the files or provider settings involved, and a narrow, copy-ready prompt for the next coding-agent session. The workflow is scan, read the gap map, decide which fixes go to the agent and which require a provider dashboard action, then re-scan after the next session.
The feature that separates VibeRaven from a generic linter or code-review checklist is the repo-to-dashboard boundary. The vendor page explicitly distinguishes changes an agent can make in the codebase from provider-side actions — registering callback URLs in Clerk, flipping Stripe to live-mode keys, confirming Vercel environment variable separation — that no coding agent can resolve by editing files. That distinction prevents the failure mode where an agent patches the code correctly but the provider configuration is still pointed at a test environment.
VibeRaven fits teams shipping AI-built apps that use common provider stacks — Supabase, Vercel, Stripe, Clerk — and who run iterative agent sessions where context about what changed between releases matters. It is distributed as an npx CLI (MIT license, confirmed via GitHub) and as a hosted scanner at viberaven.dev with a free scan limit on the hosted tier. Where it does not fit: teams that need runtime behavior verified, load-tested, or integration-tested against live provider responses will hit the ceiling of static repo scanning quickly. The tool finds missing evidence in the codebase; it does not execute code or confirm that a webhook actually fires and validates correctly under production conditions.
The MCP loop and multi-step workflow design mean VibeRaven can be wired into an agent’s own toolchain so the agent queries it before proposing a broad patch — the vendor page describes this as the tool giving the builder a launch map so the next session targets one evidenced gap instead of a vague ‘make everything production ready’ request.
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