Three ways to review AI-generated code exist today. Each one sees something the other two miss.
We run Audit Vibe Coding at Inithouse. It scores vibecoded projects across 47 checks in 8 areas: security, SEO, performance, accessibility, code quality, architecture, error handling, and deployment. The average vibecoded project we audit scores 31 out of 100. Production-ready starts at 80.
That gap is real. But Audit Vibe Coding is not the right tool for every situation. This post maps out when each approach fits.
The three approaches
| Manual code review | PR-level AI tools | External scored audit | |
|---|---|---|---|
| Access needed | Full repo access | Repo + CI integration | Just the live URL |
| What it sees | Logic, architecture, naming, test coverage | Diffs, patterns, known vulnerabilities per PR | The running app: headers, meta tags, load times, console errors, WCAG, exposed secrets |
| What it misses | Runtime behavior, real SEO output, deployed config | Full-app context, production environment, SEO/accessibility in browser | Internal logic, test coverage, code style |
| Speed | Hours to days (depends on reviewer) | Seconds per PR | 24-48 hours for full report |
| Best for | Teams with senior devs and code quality standards | Ongoing PR hygiene, catching regressions | Pre-launch check, client handoff, "is this production-ready?" |
When manual review is enough
If you have repo access, a senior developer, and time, manual review catches the deepest issues. Architecture decisions, naming conventions, business logic correctness: a human reading the code is still the best tool for these.
Where it falls short: manual reviewers rarely check what happens after deployment. They read the source. They don't open the browser, run Lighthouse, check response headers, or test screen readers. For a vibecoded project where the builder might not know what Content-Security-Policy is, that deployed surface is where real risks live.
Manual review also assumes someone qualified is available. On a solo project or a two-person team, that person often doesn't exist.
When PR-level tools fit
Tools like CodeRabbit, Codacy, or GitHub's built-in code scanning run on every pull request. They catch pattern-level issues: unused variables, SQL injection patterns, dependency vulnerabilities.
They work well for ongoing maintenance. Set them up once, and every PR gets a baseline review. For a team that ships daily, this is table stakes.
Where they stop: PR-level tools see diffs, not the whole application. They will flag an insecure query in the new code. They won't tell you your og:image tag is broken, your staging API key is sitting in a client-side bundle, or your page takes 11 seconds to load on a 3G connection. They also require a repository. If you're reviewing someone else's deployed project and don't have repo access, these tools can't help.
When you need an external scored audit
This is where Audit Vibe Coding sits. You give it a URL. It runs the live application through 47 checks across security, SEO, performance, accessibility, code quality, architecture, error handling, and deployment configuration.
No repo access needed. No CI setup. No integration. Just the URL.
The output is a scored report: a number from 0 to 100, broken down by area, with prioritized fixes sorted by impact. Fix this first, then this, then this.
Three scenarios where this makes the most sense:
Pre-launch sanity check. You built something with Cursor, Lovable, or Bolt. It works. But does it have exposed environment variables? Broken meta tags? Missing alt text on every image? An external audit catches what the builder didn't know to look for.
Client handoff. An agency delivers a vibecoded project. The client wants to know: is this actually production quality? A scored report with a concrete number gives a comparable answer, not a vague "looks fine."
Portfolio triage. At Inithouse we run 14 products. When we need to decide which one gets engineering attention next, scores across the portfolio make the comparison concrete. A product scoring 28 in security gets priority over one scoring 72.
They stack, not compete
These three approaches are layers, not replacements. The strongest setup uses all three: manual review for logic and architecture, PR-level tooling for ongoing hygiene, external scored audit for the deployed surface that neither of the first two touches.
Most vibecoded projects have zero of the three. Adding any single layer is a measurable improvement. If you can only pick one and you don't have a senior dev on the team, the external audit gives the widest coverage from the least input: one URL, 47 checks, a prioritized fix list back in your inbox within 48 hours.
We build and audit AI-generated projects at Inithouse. Audit Vibe Coding scores security, SEO, performance, accessibility, and code quality across 47 checks and returns prioritized fixes.
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