VibeShift
VibeShift is an intelligent security agent that integrates with AI coding assistants to automatically analyze, identify, and remediate security vulnerabilities in AI-generated code before it reaches production.
https://github.com/GroundNG/VibeShift?ref=aipure
Product Information
Updated:Jun 16, 2025
What is VibeShift
VibeShift serves as an automated security engineer designed to work seamlessly with popular AI coding assistants like Cursor, GitHub Copilot, and Claude Code. It addresses a critical gap in AI-assisted development by providing real-time security analysis of code generated by AI. The platform leverages the Model Context Protocol (MCP) to create a smooth interaction within existing AI coding environments, ensuring that code security is maintained without disrupting the development workflow.
Key Features of VibeShift
VibeShift is an intelligent security agent that integrates with AI coding assistants like GitHub Copilot and Claude Code to provide automated security analysis of AI-generated code. It performs real-time vulnerability scanning, identifies security issues, and facilitates AI-driven remediation before insecure code reaches the codebase, creating a seamless security feedback loop in the development workflow.
Automated Security Analysis: Automatically scans AI-generated code using static and dynamic analysis tools to detect vulnerabilities like XSS, SQL injection, and insecure configurations
AI-Assisted Test Recording: Generates Playwright-based test scripts from natural language descriptions and provides self-healing capabilities for existing tests
Security Feedback Loop: Creates immediate feedback cycle between developers and AI assistants by providing detailed vulnerability reports and suggested fixes
Visual Regression Testing: Combines traditional pixel matching with vision LLM approach to detect UI issues and visual regressions
Use Cases of VibeShift
AI-Assisted Development Teams: Development teams using AI coding assistants can ensure their automatically generated code meets security standards without manual review
Security Compliance: Organizations can maintain security compliance by automatically catching vulnerabilities before they reach production environments
QA Automation: QA teams can automate testing processes using natural language commands and maintain reliable test suites with self-healing capabilities
Pros
Seamless integration with popular AI coding assistants
Automated security analysis saves time and reduces human error
Self-healing test capabilities reduce maintenance overhead
Cons
Requires Python 3.10+ and additional setup steps
Depends on external LLM API access which may have associated costs
How to Use VibeShift
Install Prerequisites: Ensure you have Python 3.10+, access to an LLM (Gemini 2.0 recommended), MCP installed via 'pip install mcp[cli]', and Playwright browsers installed via 'patchright install'
Clone and Setup Repository: Clone the VibeShift repository with 'git clone https://github.com/GroundNG/VibeShift', create and activate a Python virtual environment, then install dependencies with 'pip install -r requirements.txt'
Configure Environment: Rename .env.example to .env and add your LLM API key by setting LLM_API_KEY='YOUR_LLM_API_KEY' in the .env file
Setup MCP Server: Add VibeShift configuration to your MCP config file with the server details pointing to the cloned repository path and mcp_server.py
Start Using with AI Assistant: Keep the MCP server running and use your AI coding assistant (like Cursor, GitHub Copilot etc.) to interact with VibeShift through natural language commands
Run Security Analysis: Use commands like 'VibeShift, analyze this function for security vulnerabilities' to automatically scan code for security issues
Record Tests: Give natural language commands to record test flows, like 'Record a test: go to [URL], type [input], click [button]' etc. Tests will be saved as JSON files
Execute Tests: Run recorded tests by specifying the test file path, e.g. 'Run the regression test output/test_name.json'
Review Results: Check security reports, test recordings, and execution results in the output directory. Security findings will be returned to the AI assistant with vulnerability details and suggested fixes
VibeShift FAQs
VibeShift is an intelligent security agent designed to integrate with AI coding assistants (like Cursor, GitHub Copilot, Claude Code, etc.). It acts as an automated security engineer that analyzes AI-generated code for vulnerabilities and helps with remediation before insecure code reaches the codebase.
VibeShift Video
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