DotNETWeekly-Agent

An intelligent ASP.NET Core application that integrates with Large Language Models (LLM) to automate GitHub issue management and newsletter generation for .NET Weekly.

🚀 Features

1. GitHub Webhook Integration

• Automatic Issue Summarization: Receives GitHub webhook notifications when new issues are created
• AI-Powered Analysis: Uses LLM to analyze and summarize issue content
• Automatic Comments: Posts intelligent summaries back to the GitHub issue as comments
• Real-time Processing: Handles webhook events in real-time

2. Newsletter Generation

• Issue Aggregation: Scans all open GitHub issues across repositories
• Content Curation: Uses AI to curate and organize issues into newsletter format
• Automated Publishing: Generates and publishes newsletters to designated repository folders
• Customizable Templates: Supports different newsletter formats and layouts

3. Translation Services

• Multi-language Support: Translates newsletters from Chinese to English
• AI-Powered Translation: Uses LLM for context-aware, high-quality translations
• Content Preservation: Maintains formatting and technical accuracy during translation

🛠 Technology Stack

• Framework: ASP.NET Core 9.0
• Language: C# / TypeScript
• LLM Integration: OpenAI API / Azure OpenAI
• GitHub Integration: GitHub REST API & Webhooks & MCP Server
• Authentication: Personal Access Tokens
• Hosting: Azure App Service

📋 Prerequisites

• .NET 9.0 SDK
• GitHub Personal Access Toke
• LLM API credentials (OpenAI, Azure OpenAI, etc.)
• Visual Studio 2022 or VS Code

🔒 Security Considerations

• Webhook Verification: All GitHub webhooks are verified using HMAC-SHA256
• API Rate Limiting: Implements rate limiting for GitHub API calls
• Secure Configuration: Sensitive data stored in environment variables
• Input Validation: All inputs are validated and sanitized

📝 Development Roadmap

See Work Breakdown section below for detailed development phases.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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Work Breakdown

Phase 1: Core Infrastructure & GitHub Integration (Week 1-2)

1.1 Project Setup & Configuration

·

• Update project dependencies

  • Add GitHub API client
  • Add HTTP client for LLM APIs
  • Add configuration management packages
  • Add logging framework

• Configuration Management

  • Create appsettings.json structure for all required settings
  • Implement strongly-typed configuration classes
  • Add environment variable support
  • Create appsettings.example.json template

• Base Infrastructure

  • Set up dependency injection container
  • Configure logging
  • Add error handling middleware
  • Set up CORS policies

1.2 GitHub Integration Foundation

• GitHub Service Layer

  • Create IGitHubService interface
  • Implement GitHubService class
  • Add methods for:
    • Authenticating with GitHub API
    • Fetching repository issues
    • Adding comments to issues
    • Creating/updating files in repositories

• GitHub Models

  • Create GitHubWebhookPayload.cs for webhook data
  • Create IssueModel.cs for issue representation
  • Create CommentModel.cs for comment data
  • Add JSON serialization attributes

1.3 Webhook Infrastructure

• Webhook Controller

  • Create WebhookController.cs
  • Implement webhook signature verification
  • Add webhook payload parsing

• Webhook Security

  • Implement HMAC-SHA256 verification
  • Add IP whitelist validation (optional)
  • Create middleware for webhook authentication

Phase 2: LLM Integration & Issue Processing (Week 2-3)

2.1 LLM Service Layer

• LLM Service Interface

  • Create ILLMService interface
  • Define methods for:
    • Issue summarization
    • Content translation
    • Newsletter generation

• LLM Service Implementation

  • Implement LLMService class
  • Add support for OpenAI API
  • Add support for Azure OpenAI
  • Implement retry logic and error handling
  • Add token counting and cost tracking

2.2 Issue Processing Logic

• Issue Analysis

  • Create prompt templates for issue summarization
  • Implement issue content preprocessing
  • Add context extraction (labels, assignees, etc.)
  • Create summary generation logic

• Comment Management

  • Implement automatic comment posting
  • Add comment formatting templates
  • Create duplicate comment prevention
  • Add comment update functionality

2.3 Background Processing

• Async Processing
  • Implement background job processing
  • Add queue management for webhook events
  • Create retry mechanisms for failed operations
  • Add processing status tracking

Phase 3: Newsletter Generation System (Week 3-4)

3.1 Newsletter Service

• Newsletter Service Interface

  • Define methods for:
    • Issue aggregation
    • Content curation
    • Newsletter formatting
    • Publishing

• Newsletter Service Implementation

  • Implement issue scanning across repositories
  • Add content categorization logic
  • Create newsletter template system
  • Implement markdown/HTML generation

3.2 Newsletter Templates

• Template System

  • Create base newsletter template
  • Add categorization templates (bugs, features, discussions)
  • Implement dynamic content insertion
  • Add customizable formatting options

• Content Curation

  • Implement AI-powered content selection
  • Add duplicate detection
  • Create relevance scoring
  • Implement content summarization

3.3 Publishing System

• Repository Publishing
  • Implement file creation in GitHub repositories
  • Add versioning and archiving
  • Create publication workflows
  • Add publishing history tracking

Phase 4: Translation Services (Week 4-5)

4.1 Translation Infrastructure

• Translation Service

  • Extend LLMService with translation capabilities
  • Create translation prompt templates
  • Implement language detection
  • Add translation quality validation

• Multi-language Support

  • Create language configuration system
  • Add support for Chinese to English translation
  • Implement format preservation during translation
  • Add technical term handling

4.2 Translation Workflows

• Batch Translation
  • Implement newsletter translation workflows
  • Add progress tracking for large documents
  • Create translation caching
  • Add human review integration points

Phase 5: Web UI & Management Interface (Week 5-6)

5.1 Dashboard Development

• Main Dashboard

  • Create responsive dashboard layout
  • Add recent activity display
  • Implement status monitoring
  • Add quick action buttons

• Issue Management Interface

  • Create issue list view
  • Add filtering and searching
  • Implement bulk operations
  • Add processing status indicators

5.2 Newsletter Management UI

• Newsletter Interface

  • Create newsletter preview functionality
  • Add editing capabilities
  • Implement publication scheduling
  • Add translation management

• Configuration UI

  • Create settings management interface
  • Add repository configuration
  • Implement webhook management
  • Add API key management

5.3 Monitoring & Analytics

• Activity Monitoring
  • Add processing statistics
  • Implement error tracking
  • Create usage analytics
  • Add performance metrics

Phase 6: Testing, Documentation & Deployment (Week 6-7)

6.1 Testing Suite

• Unit Tests

  • Test all service classes
  • Test webhook processing
  • Test LLM integration
  • Test GitHub API interactions

• Integration Tests

  • Test end-to-end workflows
  • Test webhook to comment flow
  • Test newsletter generation
  • Test translation pipeline

6.2 Documentation

• API Documentation

  • Document all endpoints
  • Add request/response examples
  • Create webhook setup guide
  • Add troubleshooting guide

• Deployment Documentation

  • Create Docker deployment guide
  • Add Azure App Service instructions
  • Document environment setup
  • Add monitoring setup guide

6.3 Production Readiness

• Performance Optimization

  • Implement caching strategies
  • Add connection pooling
  • Optimize database queries (if applicable)
  • Add performance monitoring

• Security Hardening

  • Security audit and penetration testing
  • Add rate limiting
  • Implement request validation
  • Add security headers

• Deployment & CI/CD

  • Set up GitHub Actions workflow
  • Create Docker containers
  • Configure production environment
  • Set up monitoring and alerting