VibeScan is a next-generation code vulnerability scanner that helps developers analyze, secure, and optimize AI-generated code with one-click fixes while maintaining code privacy.
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VibeScan

Product Information

Updated:Aug 12, 2025

What is VibeScan

VibeScan is an advanced code analysis tool specifically designed for modern development workflows, particularly focusing on AI-generated code. Created by Volo, an AI coding expert with 25,000+ subscribers, VibeScan addresses a critical need in today's AI-driven development landscape: ensuring that AI-generated code is production-ready, secure, and optimized. The platform works with various AI coding tools including ChatGPT, GitHub Copilot, Claude, and others, providing comprehensive code assessment through multiple evaluation metrics.

Key Features of VibeScan

VibeScan is a next-generation code vulnerability scanner designed for modern development workflows, specifically focused on AI-generated code. It provides comprehensive scanning capabilities for security vulnerabilities, code quality, performance issues, and launch readiness checks. The tool offers automated fixes, custom prompts for issue resolution, and integrates with various AI coding platforms while maintaining code privacy.
AI-Powered Security Scanning: Advanced AI models detect vulnerabilities that traditional scanners miss, particularly focusing on common issues in AI-generated code
One-Click Fix Solutions: Automated system to fix common vulnerabilities and code issues without requiring deep technical knowledge
Comprehensive Score System: Provides detailed scoring across security, performance, code quality, and launch readiness metrics
Production Readiness Check: Verifies essential components like payment integrations, user analytics, rate limiting, and legal requirements before deployment

Use Cases of VibeScan

AI Development Teams: Teams using AI coding tools can validate and secure their code before deployment
Startup Projects: Early-stage startups can ensure their applications meet security and performance standards without dedicated security teams
Enterprise Security Compliance: Large organizations can verify AI-generated code meets their security requirements and industry standards

Pros

User-friendly interface requiring no terminal knowledge
Specialized in detecting AI-specific code vulnerabilities
Comprehensive scanning across multiple aspects (security, performance, quality)

Cons

Subscription required for full access
Line scan limits based on pricing tier

How to Use VibeScan

Sign up for VibeScan: Visit vibescan.io and choose a subscription plan (Starter, Pro, or Ultra). Enter your email to agree to Terms of Service and Privacy Policy.
Upload your code: Upload your codebase to VibeScan's platform. The system supports code generated by various AI tools including Cursor, Claude, OpenAI, GitHub Copilot, and others.
Initiate the scan: Start the scanning process. VibeScan will analyze your code for various issues including security vulnerabilities, performance problems, and code quality concerns.
Review the dashboard: Check your dashboard to see the comprehensive analysis including Security Score, Performance Score, Code Quality Score, and Launch Checklist Score out of 100.
Examine identified issues: Review specific problems found in your code, such as exposed API keys, SQL injection risks, and other vulnerabilities. The system shows the exact line numbers where issues are found.
Apply fixes: Use the provided AI prompts to fix identified issues. Pro and Ultra users can access one-click auto-fix features for common problems.
Verify fixes: Re-scan your code after applying fixes to ensure all issues have been resolved and to get an updated production-readiness score.
Export results: Export your findings in PDF, CSV, or JSON format from the scan detail page for your reference.

VibeScan FAQs

VibeScan is a tool that helps developers scan and identify issues in AI-generated code, providing security checks, performance analysis, code quality assessment, and a launch checklist. It can automatically fix common issues and verify if code is production-ready.

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