Subhash Konduru@SubhashKonduru

**Project Goal**: To create a scalable AI-powered code optimization suite that automates debugging, refactoring, performance tuning, and security auditing using multi-agent workflows. **Technologies Used**: * <mcsymbol name="FastAPI" filename="main.py" path="i:\Subhash Imp Projects\AI Code Optimizer\main.py" startline="10" type="class"></mcsymbol>: Backend API for code analysis and optimization. * React.js: Interactive frontend for code input and optimization insights. * Material-UI (MUI): React component library for a modern and responsive UI. * Trae AI IDE: For building and managing multi-agent workflows. * Novita.ai: APIs for code analysis, bug detection, and optimization suggestions. * <mcsymbol name="Qdrant" filename="main.py" path="i:\Subhash Imp Projects\AI Code Optimizer\main.py" startline="40" type="class"></mcsymbol>: Vector database for storing and retrieving optimized code snippets. **Project Structure**: The `README.md` outlines the main directories: `.qodo/`, `backend/` (containing <mcfile name="main.py" path="i:\Subhash Imp Projects\AI Code Optimizer\backend\main.py"></mcfile> and <mcfile name="requirements.txt" path="i:\Subhash Imp Projects\AI Code Optimizer\requirements.txt"></mcfile>), and `frontend/` (with `public/` and `src/` including <mcfile name="App.js" path="i:\Subhash Imp Projects\AI Code Optimizer\frontend\src\App.js"></mcfile> and <mcfile name="index.js" path="i:\Subhash Imp Projects\AI Code Optimizer\frontend\src\index.js"></mcfile>).

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