🧪 Test AI Review Agent - Multiple Code Issues

DEVELOPMENT.md

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+# CodeScribe Agent - Development Setup
+
+## Development Mode (No NGROK Required!)
+
+For local development, you can use **Smee.io** instead of NGROK. This is much simpler and doesn't require installing additional software.
+
+### Quick Setup Steps:
+
+1. **Install dependencies:**
+
+   ```bash
+   npm install
+   ```
+
+2. **Get your Groq API key** from [https://console.groq.com/keys](https://console.groq.com/keys)
+
+3. **Create a Smee channel** by visiting [https://smee.io/](https://smee.io/) and clicking "Start a new channel"
+
+4. **Create a GitHub App:**
+
+   - Go to [https://github.com/settings/apps](https://github.com/settings/apps)
+   - Click "New GitHub App"
+   - **Webhook URL**: Use your Smee.io URL (e.g., `https://smee.io/abc123`)
+   - **Webhook Secret**: Create any random string
+   - **Permissions**: Grant read & write for:
+     - Pull Requests
+     - Repository Contents
+     - Issues
+     - Commit Statuses
+   - **Events**: Subscribe to:
+     - Pull Request
+     - Pull Request Review
+     - Pull Request Review Comment
+
+5. **Create your `.env` file:**
+
+   ```env
+   GITHUB_PRIVATE_KEY="-----BEGIN RSA PRIVATE KEY-----
+   <your-github-private-key>
+   -----END RSA PRIVATE KEY-----"
+   GITHUB_APP_ID=<your-app-id>
+   GITHUB_WEBHOOK_SECRET=<your-webhook-secret>
+   GROQ_API_KEY=<your-groq-api-key>
+
+   # Development settings
+   NODE_ENV=development
+   LOG_LEVEL=DEBUG
+
+   # Agent configuration (optional)
+   ENABLE_AGENTIC_REVIEW=true
+   ENABLE_SECURITY_AGENT=true
+   ENABLE_PERFORMANCE_AGENT=true
+   ENABLE_CODE_QUALITY_AGENT=true
+   ENABLE_DOCUMENTATION_AGENT=true
+   ENABLE_TESTING_AGENT=true
+   ```
+
+6. **Start the development server:**
+
+   ```bash
+   npm run dev
+   ```
+
+7. **Start Smee client** (in another terminal):
+   ```bash
+   npx smee -u <your-smee-url> -p 3000
+   ```
+
+That's it! Now when you create pull requests in repositories where your GitHub App is installed, the agent will automatically review them.
+
+## Alternative: Traditional NGROK Setup
+
+If you prefer NGROK:
+
+1. Download NGROK from [https://ngrok.com/download](https://ngrok.com/download)
+2. Run: `ngrok http 3000`
+3. Use the NGROK URL + `/api/review` as your webhook URL
+4. Run: `npm start`
+
+## Configuration Options
+
+You can customize the agent behavior using environment variables:
+
+- `ENABLE_AGENTIC_REVIEW=true/false` - Enable/disable the new multi-agent review system
+- `ENABLE_SECURITY_AGENT=true/false` - Enable/disable security-focused reviews
+- `ENABLE_PERFORMANCE_AGENT=true/false` - Enable/disable performance reviews
+- `ENABLE_CODE_QUALITY_AGENT=true/false` - Enable/disable code quality reviews
+- `ENABLE_DOCUMENTATION_AGENT=true/false` - Enable/disable documentation reviews
+- `ENABLE_TESTING_AGENT=true/false` - Enable/disable testing reviews
+- `LOG_LEVEL=DEBUG/INFO/WARN/ERROR` - Set logging level
+- `MAX_FILES_PER_REVIEW=20` - Maximum files to review in one PR
+- `TEMPERATURE=0.1` - LLM temperature for responses
+
+## Testing
+
+Create a test pull request in a repository where your GitHub App is installed. The agent will:
+
+1. 🔍 Analyze all changed files
+2. 🚀 Run multiple specialized AI agents (security, performance, code quality, documentation, testing)
+3. 📝 Generate a comprehensive review with specific suggestions
+4. 💬 Post the review as a GitHub comment
+
+## Features Added
+
+### ✨ Multi-Agent Review System
+
+- **Security Agent**: Identifies vulnerabilities, injection attacks, auth issues
+- **Performance Agent**: Finds bottlenecks, inefficient algorithms, memory issues
+- **Code Quality Agent**: Reviews readability, naming, SOLID principles
+- **Documentation Agent**: Suggests missing docs, comments, examples
+- **Testing Agent**: Identifies missing tests, edge cases
+
+### 🐍 Python Parser Support
+
+- Complete Python code analysis
+- Function and class detection
+- Basic syntax validation
+- Indentation checking
+
+### 🛠️ Enhanced Infrastructure
+
+- Improved error handling with retries
+- Configurable logging system
+- Environment-based configuration
+- Better fallback mechanisms
+
+The agent is now much more robust and provides detailed, actionable feedback!