Can You Trust AI Code - I Built a Scanner to Find Out

Learn to build a custom AI Security Benchmarking tool that evaluates the security of code generated by various large language models including Gemini, Mistral, and GLM 4.5. Set up an automated pipeline using Windsurf, OpenRouter, and Snyk that prompts multiple LLMs to write applications and immediately scans the output for security vulnerabilities. Configure your development environment with proper API keys, design effective security prompts, and create an automated build system using AI agents. Explore a comprehensive benchmarking dashboard to compare different models' security performance, analyze detailed Snyk security reports, and understand the implications for trusting AI-generated code in production environments.