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Ai Code Review Agent

AI Code Review Agent offers intelligent, contextual code suggestions using AI. Built with Next.js, Tailwind CSS, and Convex for real-time collaboration. Ensures type safety and clean code formatting with TypeScript, Zod, and syntax highlighting.

๐Ÿค– AI Code Review Agent

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๐ŸŒŸ Overview

The AI Code Review Agent is an intelligent Streamlit web application that provides instant code analysis, improvement suggestions, and execution capabilities for Python code. Powered by Google's Gemini AI, it helps developers write better code through automated reviews focusing on correctness, performance, readability, and security.

๐Ÿš€ Key Features

  • AI-Powered Code Analysis: In-depth review of Python code by Gemini 1.5 Flash
  • Smart Suggestions: Automatic fixes and improvements
  • Code Execution: Safe in-browser code execution with output capture
  • Version History: Track all your submissions and reviews
  • One-Click Fixes: Apply suggested improvements instantly
  • Modern UI: Sleek dark theme with gradient accents

๐Ÿ› ๏ธ Technology Stack

Component Technology
Frontend Streamlit
AI Model Google Gemini 1.5 Flash
Code Execution Python AST + Sandboxed Execution
Styling Custom CSS
Deployment Streamlit Cloud (or any Python hosting)

๐Ÿง  AI Model Implementation

The system uses Google's Gemini 1.5 Flash model with:

  • Temperature: 0.3 (for focused, deterministic responses)
  • Max Tokens: 2000 (for comprehensive reviews)
  • Prompt Engineering: Structured instructions for consistent output format

Example AI Instruction:

"""
You are a senior Python developer. Review the following code thoroughly.
Then suggest fixes for bugs, improvements, and best practices.

Focus on:
- Correctness
- Performance
- Readability
- Security

Return markdown output with clear sections:
1. Summary
2. Issues Found
3. Suggestions
4. Suggested Fixed Code (as a code block)
"""

๐Ÿ”„ Workflow Diagram

graph TD
    A[User Input] --> B[Code Submission]
    B --> C{Action?}
    C -->|Analyze| D[Send to Gemini AI]
    C -->|Execute| E[Run in Sandbox]
    D --> F[Generate Review]
    F --> G[Extract Suggestions]
    G --> H[Display Results]
    E --> I[Capture Output]
    I --> H
    H --> J[Store in History]

๐Ÿ–ฅ๏ธ User Interface

Main Components:

  1. Code Editor: Text area for Python code input
  2. Action Buttons:
    • ๐Ÿ” Analyze: Get AI review
    • โ–ถ๏ธ Run: Execute code
    • ๐Ÿงน Clear: Reset editor
  3. Results Panel:
    • ๐Ÿ“ AI Review: Detailed analysis in markdown
    • ๐Ÿ–ฅ๏ธ Execution: Output and variables
  4. History Sidebar: Track all submissions

๐Ÿ›ก๏ธ Safety Features

  • Code Length Limit: 2000 characters max
  • AST Validation: Parses code before execution
  • Sandboxed Execution: Limited scope with no system access
  • Error Handling: Comprehensive exception capture

๐Ÿš€ Getting Started

Prerequisites

  • Python 3.8+
  • Streamlit
  • Google Generative AI package

Installation

git clone https://github.com/muzaffar401/ai-code-review-agent.git
cd ai-code-review-agent
pip install -r requirements.txt

Configuration

  1. Get Gemini API key from Google AI Studio
  2. Create secrets.toml in .streamlit folder:
    [gemini]
    api_key = "your-api-key-here"
    

Running Locally

streamlit run app.py

๐Ÿ“ˆ Future Enhancements

  • Support for multiple languages
  • Integration with GitHub/GitLab
  • Team collaboration features
  • Performance benchmarking
  • Custom prompt templates

๐Ÿค Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

๐Ÿ“œ License

Distributed under the MIT License. See LICENSE for more information.

โœ‰๏ธ Contact

Your Name - @yourtwitter - your.email@example.com

Project Link: https://github.com/yourusername/ai-code-review-agent


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