VibeCodeXray

BOLT.NEW CODE AUDIT

Audit bolt.new code before the prototype becomes production

bolt.new can turn a prompt into a working app quickly. VCX reviews the resulting repository for concrete launch risk: unsafe handlers, missing auth checks, dependency exposure, slow patterns, and maintainability debt that a demo does not reveal.

For founders, indie hackers, and developers using bolt.new or similar AI app builders to ship web apps fast.

Checks generated web-app risk areas including input handling, auth boundaries, hardcoded secrets, vulnerable dependencies, and fragile code structure.

Findings include severity, rule name, file path, and evidence so the next fix is based on the repository, not guesswork.

Useful before customer pilots, payment setup, investor demos, or handing a fast AI-built prototype to a developer.

USE CASES

Where bolt.new code audit helps

Use VCX when AI helped create the code and you need verifiable security, architecture, and maintainability evidence before production launch.

Prototype-to-launch audit

Review the code before a convincing bolt.new prototype becomes the app real users rely on.

Generated route and auth review

Surface handlers, data paths, and authorization assumptions that deserve attention before production.

Founder handoff report

Give a developer a prioritized cleanup list with evidence instead of a repo that merely looked fine in the preview.

FAQ

Questions teams ask before trusting an AI-generated codebase

Why audit code generated with bolt.new?

Fast AI app builders can produce a working interface before the repository has been reviewed for security, dependency, performance, and maintainability risk. VCX checks the code that will actually run.

Does VCX integrate directly with bolt.new?

No direct integration is required. VCX audits the resulting GitHub repository or codebase, which is the artifact that matters for launch readiness.

What should I do after a bolt.new code audit?

Fix critical security and dependency findings first, then address performance and maintainability issues before expanding the product or adding sensitive user data.

NEXT STEP

Scan an AI-built repository before users find the bugs for you.

Start free audit