I Built a Tool to Validate AI-Generated Code (Now with JS/TS Support + AI Auto-Fix)

We've all been there - you paste code from ChatGPT, Claude, or Copilot, it looks perfect, you ship it... and then it breaks because the AI invented a package that doesn't exist, or snuck in an eval(), or used an f-string for SQL queries. 84% of developers use AI coding tools now, but only 29% actually trust the output. That trust gap is real. So I built AI Code Trust Validator - a tool that catches AI code problems before they reach production. --- ## What It Detects **Security Vulnerabilities** - SQL injection, command injection - eval(), exec(), innerHTML XSS - Hardcoded secrets, API keys - Prototype pollution (JS) **Hallucinations** - Fake npm packages, invented Python modules - Made-up functions and methods - Placeholder API URLs **Logic Errors** - Infinite loops, unreachable code - Missing await/async issues - Bare except clauses, mutable defaults --- ## Supported Languages - Python - JavaScript - TypeScript --- ## Example Output text Analyzing: generated_code.py TRUST SCORE: 67/1