Cursor Code Audit: How to Review and Secure AI-Generated Code

You shipped an MVP with Cursor in a weekend. The app works, users are signing up, and everything looks fine on the surface. But underneath, the AI-generated code is carrying predictable blind spots: leaked .env files in Composer history, overly permissive Supabase policies, and missing server-side validation.

A code audit catches these before your users do. This guide walks you through the process, from quick self-review to professional assessment, with the specific tools and workflows that work for Cursor projects.

What Is a Cursor Code Audit and Why You Need One Now

A Cursor code audit is a structured review of code generated by Cursor's AI agents, Composer, and Tab completion. The goal is to find security vulnerabilities, architectural weaknesses, and production-readiness gaps that AI consistently misses.

Systematic security audits across AI coding tools have repeatedly shown that AI-generated projects frequently carry vulnerabilities. The pattern is consistent: AI produces code that passes linters and works in demos but carries security debt that compounds in production.

This is not about Cursor being worse than alternatives. Cursor is one of the strongest AI coding tools available. But every AI code generator has the same fundamental limitation: it optimizes for functionality, not for security or production hardening.

The 7 Biggest Risks in Cursor-Generated Code

Based on community reports and audit data, these are the most common issues found in Cursor projects:

Risk	What Happens	How Common
Disabled RLS	Any user can read or modify any other user's data	Very high (found in ~70% of AI-generated Supabase projects)
Leaked .env in Composer	API keys visible in Composer history or committed to Git	High
Client-side auth only	Auth checks run in the browser, easily bypassed	High
Missing input validation	XSS and injection attacks possible	High
Hardcoded secrets	API keys directly in source files	Medium
N+1 queries	Database calls scale linearly with data, causing slowdowns	Medium
No error boundaries	Unhandled exceptions crash the entire app	Medium

Using dedicated security prompts or custom skills can catch roughly 70% of common vulnerabilities including secret leakage, XSS, and access control issues.

Official Cursor Tools That Make Auditing Easy

Bugbot: Semantic PR Review

Bugbot is Cursor's built-in PR reviewer that goes beyond syntax checking. It understands code logic and catches race conditions, security issues, and architectural problems that linters miss.

• Included with Pro ($20/month)
• Teams plan adds up to 200 PR reviews per month ($40/user/month)
• Catches logic errors, not just style violations
• Runs automatically on pull requests
• Audits every push to main to catch vulnerabilities early

Rules Files and Skills: Your First Line of Defense

Cursor Rules (.cursor/rules/) and Skills (.cursor/skills/) let you encode security standards directly into the AI's behavior. When configured correctly, Cursor follows these rules on every generation and edit.

Essential rules to add:

• Always enable RLS on new Supabase tables
• Never use deprecated auth-helpers-nextjs
• Validate all user input server-side
• Never hardcode API keys or secrets
• Use auth.uid() for row-level policies

You can build a complete security audit flow by maintaining a security checklist Markdown file at the project root. Create a new agent and instruct it to run the audit checklist after each major feature development.

Step-by-Step Cursor Code Audit Workflow

Step 1: Pre-Audit Prep (15 minutes)

1. Set up your Rules file with security constraints
2. Install security-focused auditing skills or custom instructions
3. Run npm audit to check dependency vulnerabilities
4. Check that the .gitignore file includes .env* files

Step 2: Self-Review Prompts That Work

Open Cursor Composer and run these prompts against your codebase:

Security scan prompt:

"Review this project for security vulnerabilities. Check for: disabled RLS in Supabase, hardcoded API keys, client-side only auth, missing input validation, and exposed service role keys. List each issue with file path and line number."

Architecture review prompt:

"Analyze the project structure. Are there N+1 queries? Is business logic mixed with UI components? Are there proper error boundaries? Is the auth middleware applied consistently?"

Step 3: Run Bugbot on Your PR

Create a pull request (even against your own branch) and let Bugbot analyze it. Review every comment, especially those flagged as security or logic issues.

Step 4: Fix with Agent Autofix

For each issue identified, use Cursor's Agent mode to apply fixes. Give it the specific file, line number, and what the fix should accomplish. Agent mode is better at targeted repairs than broad regeneration.

Security-First Checklist

Use this checklist before any production deployment:

• RLS enabled on all Supabase tables
• Service role key only in server-side code
• Auth validated server-side on all protected routes
• All user inputs sanitized before rendering or storing
• No API keys in client-side bundles
• npm audit shows no critical vulnerabilities
• Error boundaries wrap all route components
• Rate limiting on auth and payment endpoints
• CORS configured to allow only your domains
• .env files in .gitignore

When to Call in the Pros

Self-auditing catches the most common issues, but some situations need professional review:

• Your app handles payments or financial data
• You need to pass SOC 2 or HIPAA compliance
• The codebase has grown beyond what one person can review
• You are raising investment and need to demonstrate a strong security posture

For compliance-focused audits, you can run Cursor with MCP servers to assist in SOC 2 and HIPAA auditing. If the codebase requires complete remediation, specialized code-rescue and security agencies can help secure your application.

FAQ

What makes a Cursor code audit different from a regular code review?
Cursor-specific audits check for issues unique to AI-generated code: Composer history leaks, overly permissive Supabase defaults, and patterns where AI chose speed over security. A regular review might miss these because human code rarely has the same failure modes.

How often should I audit my Cursor project?
After every major feature addition and before any production deployment. Set up Bugbot to run on every PR for continuous coverage between manual audits.

Can I use Cursor itself to audit Cursor-generated code?
Yes, and it is one of the fastest approaches. Use targeted prompts in Composer or Agent mode. The limitation: AI auditing AI can miss systemic issues. Supplement with Bugbot and manual review of critical paths (auth, payments, data access).

What is Bugbot and how much does it cost?
Bugbot is Cursor's built-in semantic PR reviewer. It is included with the Pro plan ($20/month) and scales to 200 reviews/month on Teams ($40/user/month). It catches logic errors, race conditions, and security issues that linters miss.

Is Cursor more or less secure than other AI coding tools?
Cursor's output has similar vulnerability rates to other AI tools. The advantage is that Cursor provides better auditing tools (Bugbot, Rules, Skills) to catch and fix issues faster than alternatives.

What should I check first in a Cursor code audit?
RLS status in Supabase, hardcoded secrets, and server-side auth validation. These three checks catch the most dangerous issues and take under 10 minutes.

Can Cursor Rules prevent security issues before they happen?
Yes. Well-configured Rules files enforce security patterns on every generation. They are the most effective preventive measure available in Cursor.

How do I audit a large Cursor project I did not build?
Start with the security checklist above. Run npm audit for dependencies. Use Cursor's Agent mode to scan for common patterns (hardcoded keys, disabled RLS, client-only auth). Then review the most critical paths manually: auth, payments, and data access.