Skip to content

Latest commit

 

History

History
134 lines (89 loc) · 5.67 KB

File metadata and controls

134 lines (89 loc) · 5.67 KB

ISC-CodeConnect Documentation

Welcome to the ISC-CodeConnect documentation. This comprehensive guide will help you understand, use, and contribute to the multi-agent RAG Salesforce code assistant.

🎯 System Overview

ISC-CodeConnect is an advanced AI-powered code assistant specifically designed for Salesforce development. It features:

  • 🤖 Multi-Agent Architecture: Specialized agents working in orchestrated pipelines
  • 🗄️ IBM CIO Milvus Integration: Production-grade vector database with connection pooling
  • ⚡ Intelligent Code Generation: Apex classes, test methods, and Lightning Web Components
  • 🔍 Context-Aware Retrieval: Sophisticated code search across 5 specialized collections
  • 🔄 Session-Based API: FastAPI with streaming responses and state management
  • 📊 Advanced Analytics: Query optimization and performance monitoring

📋 Documentation Structure

🏗️ Architecture

🤖 Agents

🚀 Quick Navigation

For New Users

  1. Start with Getting Started
  2. Review System Overview
  3. Follow Development Setup

For Developers

  1. Understand Agent Overview and Agent Orchestration
  2. Learn about Vector Database and Retriever Factory
  3. Check API Reference for integration details

For System Architects

  1. Review System Overview for high-level architecture
  2. Understand Agent Pipelines and LWC Generation
  3. Study Milvus Connection Management for production deployment

🛠️ Key Capabilities

Code Generation

  • Apex Test Generation: 5-stage pipeline for comprehensive test coverage
  • LWC Component Creation: 4-stage workflow for complete Lightning Web Components
  • Best Practice Integration: Automatic adherence to Salesforce coding standards

Intelligent Retrieval

  • Context-Aware Search: Finds relevant code patterns across repositories
  • Multi-Collection Queries: Searches Apex, LWC, and test code simultaneously
  • Dependency Mapping: Automatically identifies code relationships

Agent Coordination

  • Query Decomposition: Breaks complex requests into manageable stages
  • Intelligent Routing: Directs queries to the most appropriate agents
  • Follow-up Processing: Handles multi-turn conversations with context retention

🔄 Documentation Status

This documentation is actively maintained and reflects the current system implementation.

  • Latest Version: v1.2.0
  • Documentation Version: v1.2.0
  • Last Review: July 3, 2025

Completed Documentation

  • Agent System: All agent types documented with detailed workflows
  • Vector Database: IBM CIO Milvus integration with connection pooling
  • API Endpoints: Session-based FastAPI implementation
  • Generation Pipelines: Test generation and LWC generation workflows
  • Development Setup: Local environment configuration

🚧 In Progress

  • Advanced deployment configurations
  • Performance optimization guides
  • Integration examples and tutorials

🤝 Contributing to Documentation

Found an issue or want to improve the documentation?

  1. Report Issues: Create an issue in the main repository
  2. Suggest Improvements: Submit a pull request with specific changes
  3. Add Examples: Contribute practical examples and use cases
  4. Update Accuracy: Help keep documentation aligned with code changes

📞 Support

  • GitHub Issues: Technical questions and bug reports
  • Documentation Issues: Specific documentation feedback
  • Enterprise Support: Contact isc-codeconnect@ibm.com

📖 Happy Reading!