CURSOR CODE REVIEW
Review Cursor-generated code before it reviews your patience
Cursor helps you build fast. VCX helps you verify what got built. Scan your repository for security issues, dependency risk, performance traps, and confusing architecture before the app becomes production-critical.
For Cursor users who ship fast and need an external sanity check before production.
Finds common Cursor output problems: duplicated logic, missing validation, unsafe query patterns, and oversized modules.
Produces a report with severity, file path, rule name, and evidence so you know exactly what to fix.
Works from a GitHub repository URL with no complicated local setup for the web scan path.
USE CASES
Where cursor code review helps
Use VCX when AI helped create the code and you need verifiable security, architecture, and maintainability evidence before production launch.
Audit before launch
Paste the repo URL and get a structured report before a fast MVP becomes difficult to maintain.
Find security risk patterns
Check for injection, exposed secrets, insecure crypto, path traversal, and auth mistakes with concrete evidence.
Control AI code quality drift
Spot copy-pasted helpers, dead exports, god files, and other “the AI was very busy” artifacts.
FAQ
Questions teams ask before trusting an AI-generated codebase
Can Cursor already review my code?
Cursor can help reason about code, but VCX gives deterministic findings from dedicated analyzers. The point is not more chat. The point is repeatable evidence.
Do I need to install anything?
For the web scan flow, you can start with a GitHub repository URL. Private repository access depends on your plan and GitHub connection.
Is this only for Cursor?
No. Cursor is a common use case, but VCX works for AI-assisted projects from Copilot, Claude Code, bolt.new, Lovable, and similar tools.
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