At Inithouse, we build products with AI tools. Lovable, Cursor, Bolt. Every MVP in our portfolio started as a vibecoded project. We ship fast, and that's the point. But vibecoded apps have a pattern: they work on the happy path and quietly skip everything else.
Audit Vibe Coding scans AI-generated projects across 5 areas and returns a scored report with prioritized fixes. No account, no repo access needed. Here's what using it on a real project looks like.
What the 5 areas actually cover
The audit checks:
- Security: exposed endpoints, missing headers (CSP, HSTS, X-Frame-Options), auth gaps, leaked keys
- SEO: missing meta tags, broken structured data, sitemap issues, crawlability problems
- Performance: render-blocking resources, unoptimized images, large bundles, slow time-to-first-byte
- Accessibility: missing alt text, low contrast ratios, keyboard navigation gaps, ARIA misuse
- Code quality: unused dependencies, console errors, deprecated APIs, missing error handling
Each finding gets a priority level: fix now, fix soon, or nice to have.
Step 1: paste your URL
Go to auditvibecoding.com. Paste the project URL. Hit scan. The system pulls your live site and starts running checks. No config, no setup wizard.
Step 2: read the scored report
You get a score per area and a list of findings sorted by impact. The format is intentionally flat: one page, top to bottom, highest priority first.
When we ran this on projects in our own portfolio, the security section consistently caught things we hadn't thought to check manually. Missing row-level security policies on database endpoints. Performance flagged images that AI tools had embedded at full resolution. SEO found pages without Open Graph tags, which meant social shares looked broken.
None of these showed up as bugs. The apps worked. Users could sign up and click around. But the gaps were stacking up.
Step 3: fix and re-scan
Work through the top-priority items. Then run the audit again. Scores update, so you can track whether the fixes actually landed.
We use this loop after major deploys on our products. Be Recommended (our AI visibility monitoring tool) and Origin Of You (self-discovery portraits) both went through multiple audit cycles before we were comfortable with their production state.
Why vibecoded projects specifically
AI-generated code compiles. It runs. It handles the main user flow. What it tends to skip:
Security headers. Accessibility beyond placeholder alt text. SEO beyond a title tag. Error states. Dependency cleanup.
These aren't crashes. They're invisible gaps that compound over weeks of feature additions. Three months of vibecoded commits with no audit, and you're carrying technical debt you can't even see from the front end.
Audit Vibe Coding exists because we kept finding this pattern in our own work. The scored report format came from wanting a single document we could hand off and say "fix these, in this order, start at the top."
Who this is for
Anyone who vibecoded a project and wants to know what the AI missed before users find it. Startups shipping MVPs, agencies delivering client work, teams with internal tools built on Lovable or Bolt or Cursor.
No account needed. Paste a URL, get a report. Built by Inithouse.
Try it at auditvibecoding.com.
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