https://github.com/gustycube/codect
A detector for AI-written code
https://github.com/gustycube/codect
ai-detection ai-detector artificial-intelligence collaborate help-wanted helpwanted iconscout machine-learning python python-app python3 svelte sveltejs sveltekit
Last synced: 2 days ago
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A detector for AI-written code
- Host: GitHub
- URL: https://github.com/gustycube/codect
- Owner: GustyCube
- License: gpl-3.0
- Created: 2025-02-12T17:28:31.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-07-31T05:14:45.000Z (2 months ago)
- Last Synced: 2025-07-31T07:38:25.741Z (2 months ago)
- Topics: ai-detection, ai-detector, artificial-intelligence, collaborate, help-wanted, helpwanted, iconscout, machine-learning, python, python-app, python3, svelte, sveltejs, sveltekit
- Language: Python
- Homepage:
- Size: 146 KB
- Stars: 17
- Watchers: 2
- Forks: 3
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Codect: AI-Generated Code Detection
[](https://app.deepsource.com/gh/GustyCube/Codect/) 
## Overview
Codect is a free and open-source tool designed to detect whether a piece of code was written by an AI or a human. It supports multiple programming languages and provides detailed insights based on various code features such as entropy, comment ratio, AST complexity, and more.
This monorepo contains three main packages:
- **@codect/core**: Core detection algorithms and language analysis
- **@codect/cli**: Beautiful command-line interface with interactive mode
- **@codect/api**: Fast REST API server built with FastAPI
## Features
- **Multi-Language Support**: Detect AI-generated code in Python and JavaScript
- **Entropy & Complexity Analysis**: Uses token entropy and AST depth to determine AI-generated patterns
- **Comment Ratio Evaluation**: Analyzes documentation habits in code
- **Function & Loop Detection**: Evaluates structure complexity
- **Beautiful CLI**: Interactive terminal UI with colors and ASCII art
- **Fast API**: High-performance REST API with FastAPI
- **Modular Architecture**: Clean separation of concerns with monorepo structure
## Star History
[](https://star-history.com/#GustyCube/Codect&Date)
## Installation
### Prerequisites
- Node.js 18+ and npm
- Python 3.8+
- Git
### Setup
```bash
# Clone the repository
git clone https://github.com/GustyCube/Codect.git
cd Codect
# Install dependencies
npm install
npm run build
# Install Python dependencies for the API
cd packages/api
pip install -r requirements.txt
cd ../..
```
## Usage
### CLI Tool
The CLI provides a beautiful terminal interface for code analysis:
```bash
# Run interactive mode
npx codect
# Analyze a specific file
npx codect analyze path/to/file.py --detailed
# Get help
npx codect --help
```
Features:
- Interactive mode with menu navigation
- Beautiful ASCII art logo with gradient colors
- Colored output and progress spinners
- Detailed analysis with feature breakdown
- Support for both file and snippet analysis
### API Server
Start the API server:
```bash
cd packages/api
python main.py
```
The API will be available at `http://localhost:8000`
#### Endpoints
**Health Check**
```bash
curl http://localhost:8000/health
```
**Basic Analysis** (`/basic`)
```bash
curl -X POST "http://localhost:8000/basic" \
-H "Content-Type: application/json" \
-d '{"code": "def add(x, y): return x + y", "language": "python"}'
```
**Detailed Analysis** (`/premium`)
```bash
curl -X POST "http://localhost:8000/premium" \
-H "Content-Type: application/json" \
-d '{"code": "def add(x, y): return x + y", "language": "python"}'
```
### Development
```bash
# Run all packages in development mode
npm run dev
# Run tests
npm test
# Lint code
npm run lint
# Build all packages
npm run build
```
## How It Works
1. The code is **tokenized**, and entropy is measured.
2. **Comment ratio** is calculated to analyze documentation habits.
3. **AST parsing** extracts function, loop, and exception counts.
4. The system **assigns a score** based on heuristic rules.
5. If the score exceeds a threshold, the code is flagged as **AI-generated**.
## Contributing
We welcome contributions! Feel free to:
- Submit issues & feature requests.
- Improve multi-language support.
- Optimize AI detection heuristics.
- Expand API functionality.
## License
Codect is licensed under the GNU General Public v3.0 license. You are free to modify and distribute the project as needed.
## Contact
For questions or contributions, open an issue on GitHub or reach out to `gc@gustycube.xyz`.
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