The automated safety layer for rapid AI builders.

Lovable launched your business in 30 seconds. We make sure it doesn’t break in production.

Run a free URL scan to catch obvious production issues before users do.

Built for apps made with

LovableBoltv0CursorReplitOpenAIAnthropicClaudeGeminiWindsurfFirebase Studio

Recon Terminal

$ vibe'nscan recon https://yourapp.com

01GET /.git/config returned 200_

02Primary content rendered client-side only

03Debug endpoint found at /debug

043 critical issues added to launch report

Live Report

Production Readiness

Not Ready

Critical

Warning

4/12

Score

Security Exposure

GET /.git/config returned 200

critical

public URL

SEO & AI Visibility

Primary content rendered client-side only

warning

app shell

Security Exposure

Debug endpoint found at /debug

critical

/debug

Production Readiness

3 critical issues added to launch report

info

report.prd.md

AI-ready handoff

Findings are converted into a report and, on full audit, a filepath-specific PRD for your coding agent.

Vibenscan by the numbers

Completed scans, surfaced issues, and critical flaws flagged across shipped apps.

Scans completed

Issues spotted

Critical risks flagged

Deep scans completed

Updated 25 Jun 2026

The Problem

AI can ship fast. It can also ship wreckage.

The Slop Tsunami

Chat-based AI tools optimise for speed, not safety. They spit out hardcoded secrets, exposed .git folders, and broken authentication—every single deploy.

Invisible to Search

Vibe-coded apps load content via JavaScript. Google, ChatGPT, and Perplexity can’t read them. You’re invisible. Your business is losing traffic right now.

It Breaks in Production

The app demos beautifully, then fails under real users: broken auth, missing cleanup, bad state handling, debug endpoints, and fragile integrations. Vibe-coded apps need a production check before strangers depend on them.

We catchExposed .git foldersHardcoded API keysBroken authInvisible SEODebug endpointsMissing graceful shutdownClient-side secretsStripe logic flaws

How It Works

Two scans. Two permission models. No mystery.

Toggle between the free URL audit and the full repository audit to see exactly what happens.

Interactive Flow

Paste Your URL

Run a free public URL audit against your deployed Lovable, bolt.new, v0, or Cursor-built app. No sign-up. No repository access.

No LLMs, No Guesswork

Free Recon uses deterministic checks only: exposed .git folders, debug routes, public headers, crawlability, visible SEO, and obvious production leaks.

See If You Have a Problem

Get an instant risk signal. If the URL audit finds serious exposure, upgrade to the full code audit when you’re ready.

Free URL Scan

No LLMs. No repository. No permissions.

Free Recon only inspects what is publicly visible from your deployed URL. It is built for quick launch triage: obvious exposure, crawlability, headers, debug surfaces, and SEO visibility.

Public URL only

Deterministic checks

Instant risk signal

Upgrade only if needed

The Anti-Slop Report

A diagnostic printout your AI can actually act on.

vibe'nscan diagnostic output

project: app.vibenscan-demo.com

4/12 – Not Production Ready

Factor	Status	File
Config	🔴 Hardcoded Supabase key	lib/supabase.ts:12
Parity	🔴 .git exposed, 5 debug endpoints	/, /debug
Logs	🟠 Only console.log	34 files
Disposability	🟠 No graceful shutdown	index.ts
Concurrency	🟠 setInterval without cleanup	Dashboard.tsx:89
Statelessness	🔴 localStorage used as DB	useAuth.ts
Overall Score	4/12 – Not Production Ready	Immediate remediation required

This is what a real report looks like. Deep Burgundy = critical. You’ll know exactly where the smelly code is.

Deep Scan trust

The full Deep Scan uses read-only GitHub App access, runs inside ephemeral environments, and applies custom repository analysis with AI agents to surface file-level risks without changing your codebase.

Trusted by builders

Real catches. Real businesses saved.

Security

“I thought my AI-built app was ready. I’d already onboarded 47 paying customers. Then vibe’nscan found my entire source code exposed at /.git — API keys, customer emails, everything. I would have lost my business in a week.”

Sarah

Founder, Lovable-built SaaS

SecurityVerified

“I thought my app was live. vibe’nscan showed me my entire source code was exposed via /.git. I fixed it in 10 minutes and added the scan to my launch checklist.”

Alex

Lovable builder

Production ReadyVerified

“The report gives us something clients understand immediately: risk, file path, fix. It turns AI-built prototypes into professional deliverables.”

Marcus

White-label partner

Production Ready

“Lovable is incredible. But it’s a prototyping engine, not a production auditor. vibe’nscan is the missing step between ‘it works’ and ‘it’s ready for strangers to pay you.’”

Marcus

AI workflow consultant

SEOVerified

“Finally, someone is doing something about AI slop. Maintainers everywhere should thank this team.”

Open-source contributor

Our mission

vibe’nscan is the quality filter between AI-generated functionality and a business you can stake your reputation on.

Every scan doesn’t just catch bugs — it catches the flaws that would have cost you your first customer, your Stripe account, or your domain’s Google ranking.

Pricing

No Subscriptions, Just Peace of Mind.

No sign-up required

Free Recon

Free

Instant URL check — find out if your deployed app is exposed before anyone exploits it.

26 deterministic checks (security, SEO, performance)
Exposed .git, .env & debug endpoint detection
SEO & AI-visibility scoring (meta tags, indexing, structured data)
AI-builder fingerprint detection (Lovable, bolt.new, v0, Cursor)
Shareable report with score breakdown

Start free scan

Tweet some love50% cash back

One per user offer.

1 credit

Solo

$49

Full codebase audit with LLM-powered analysis. Get a production-readiness score and fix prompts you can paste straight into your AI builder.

Read-only GitHub App (private sandbox, zero retention)
SAST scan + secret assurance + 12-Factor rule engine
Code-level SEO audit (bonus: LLM-generated SEO narrative)
LLM deep analysis with fact-grounding (zero hallucination)
AI-ready fix PRD per finding — paste into Cursor, Lovable, bolt.new
Downloadable PDF report

Builder

$99

3 Deep Scans for builders who regenerate and redeploy often. Credits never expire.

3 full Deep Scans ($33 each)
Same code = free re-scan (fingerprint dedup)
AI-ready fix PRD per finding on every scan
Credits never expire — use them anytime

10 audits included

Agency

$499

Audit client AI builds at scale. White-label reports with your branding. Full agency dashboard.

10 Deep Scans ($50 each — buy more anytime)
White-label PDF reports with your logo & brand color
Agency dashboard with scan history & filters
API access (coming soon)

Get $25 back when you tweet your results.

Run any paid plan, share your Deep Scan score on X, and get $25 refunded to your card. Your social proof is our best marketing.

Plus: Refer a friend and you both get 30% off your next scan.

$25

Tweet cashback

30%

Referral bonus

FAQ

What happens before we scan your app?

Does the free scan use LLMs?+

No. Free Recon is a deterministic public URL audit. It checks exposed .git folders, debug endpoints, headers, crawlability, visible SEO signals, and obvious deployment risks without using LLMs.

Why do you need GitHub access for the full scan?+

A URL can only reveal public symptoms. The full production audit needs to inspect the repository to find file-level problems, 12-Factor violations, hardcoded secrets, fragile auth logic, unsafe payment flows, and bad code patterns.

What GitHub permissions are required?+

The GitHub App is designed for read-only repository analysis. Users can inspect the permission screen before installation and select only the repositories they want audited.

Can I paste the report back into Lovable, Cursor, bolt.new, or v0?+

Yes. Paid audits include an AI-ready fix PRD: a structured remediation brief written so your coding agent can understand what to change, where to change it, and how to validate the fix.

Is vibe'nscan a replacement for a human security audit?+

No. It is a production-readiness layer for AI-built apps. It catches obvious and common failure modes before launch, but high-risk systems should still receive specialist security review.