✨ A brutally honest AI that roasts your GitHub code with savage yet constructive feedback
🔥 Savage Code Reviews
- Brutally honest feedback on your worst code
- Finds and mocks common anti-patterns
- Rates your code on a "spiciness" scale
🔪 Pull Request Roasts
- Hilarious commentary on questionable PRs
- Detects and calls out lazy commits
- Generates meme-worthy reactions
💀 Vulnerability Shaming
- Publicly shames security flaws
- Creates "Wall of Shame" for bad practices
- Suggests fixes with sarcastic tone
🤖 AI-Powered Burns
- Custom roasts based on your coding style
- Compares your code to famous disasters
- Generates savage one-liners for bad code
# 1. Clone the repository
git clone https://github.com/yourusername/coco.git
cd coco
# 2. Install dependencies
pip install -r requirements.txt
# 3. Set up environment (see below)Create .env file:
# GitHub Configuration
GITHUB_TOKEN=your_personal_access_token
GITHUB_ORG=your_organization # Optional
# AI Configuration
OPENAI_API_KEY=your_api_key
ANTHROPIC_API_KEY=your_api_key # Optional
# App Settings
DEBUG=True # Set to False in production
PORT=5000Start the application:
python run.pyExample API Requests:
import requests
# Get repository analysis
response = requests.get(
"http://localhost:5000/api/repositories/analysis",
params={"repo": "username/reponame"},
headers={"Authorization": "Bearer YOUR_TOKEN"}
)app/
├── api/ # 🚪 API endpoints and routes
├── models/ # 🏛️ Data models and schemas
├── services/ # ⚡ Business logic
└── utils/ # 🧰 Helper functions