Auditing an AI-generated project from its URL alone: a run through Audit Vibe Coding by Inithouse

Description and use

A single‑URL audit of an AI‑generated web project with Audit Vibe Coding uncovers 47 checks across eight areas—exposed secrets, missing SEO tags, and accessibility gaps. Fixing the most severe issues first raises the score from ~31 to 55+ in a few hours.

Problem

AI-generated web projects often ship with hidden security, SEO, performance, accessibility, and privacy issues that are not obvious from the source code alone.

Outcome

A single‑URL audit can uncover 47 checks across eight areas, with the most common critical findings being exposed secrets, zero SEO foundation, and poor accessibility. Fixing issues in severity order typically boosts the project score from ~31 to 55+ in a few hours.

Workflow

• 1. Paste the project URL into auditvibecoding.com and provide an email address.
• 2. Select audit focus areas (or all eight).
• 3. Receive a scored report in the inbox within 24–48 hours.
• 4. Review the report’s severity‑sorted findings.
• 5. Fix the highest‑severity, lowest‑effort items first (e.g., remove exposed secrets, add meta tags, improve accessibility).
• 6. Re‑run the audit to confirm improvements and track score progression.

Evidence

47 checks, 8 areas, one public URL. That is the entire input we need at Audit Vibe Coding to produce a scored report for an AI-generated project.

Source

The three most common critical findings, in order of how often they appear: 1. Exposed secrets in the client bundle. 2. Zero SEO foundation. 3. Accessibility below baseline.

Source

Three hours of work after receiving the report typically moves a project from a score of 31 to 55 or higher.

Source