VibeCode Documentation Wiki

Last Updated: September 17, 2025
Status: Production Ready ✅
Platform Version: Enhanced AI with Multi-Provider Support

Welcome to the comprehensive VibeCode documentation. This wiki provides complete information for developers, administrators, and users of the VibeCode cloud-native development platform.

🚀 Quick Start

Essential First Steps

Latest Features - New AI system, vector database, and infrastructure updates
Getting Started - Quick setup and development guide
Production Deployment - Enterprise deployment guide

Development Environment

KIND Setup Guide - Local Kubernetes environment
Docker Diagnostics - Interactive troubleshooting tools
Developer Guide - Complete development workflow

🤖 AI & Machine Learning

Core AI Features

Enhanced AI Features - Multi-provider AI system with 12+ models
AI CLI Tools - Command-line AI integration
GenAI Integration - Generative AI architecture
Missing AI Libraries - AI ecosystem gap analysis

Vector Database & Search

Prisma pgvector - Vector database integration
PostgreSQL GenAI Demo - Vector search demonstration
PostgreSQL Sample Queries - Database query examples

AI Infrastructure

Docker Model Runner - AI model deployment
Agent Framework - Multi-agent coordination system
Temporal Integration - Workflow orchestration

🏗️ Infrastructure & Deployment

Production Infrastructure

Production Status - Current deployment status
Azure Infrastructure - Cloud deployment architecture
Container Manifest - Container configurations
Kubernetes Secrets Automation - Automated secret management

Monitoring & Observability

Monitoring Overview - Complete observability stack
Azure OpenAI Monitoring - AI-specific monitoring
Datadog Configuration - Monitoring setup
Datadog Local Development - Local monitoring
Datadog Compatibility - Compatibility guide

Testing & Quality Assurance

Comprehensive Testing - Complete testing framework
Test Infrastructure - Testing system overview
KIND Validation - Environment validation
Test Coverage Report - Current test metrics

🔧 Development & Operations

Development Workflow

VM Management - Apple Silicon VM management
Authentication Summary - Security implementation
Authentication Testing - Security testing guide
Pre-commit Optimization - Development workflow optimization
Repository Scan - Project health analysis

Configuration & Environment

Environment Variables - Configuration management
Development Credentials - Local development setup
API Reference - Complete API documentation

Extensions & Integrations

VS Code Extensions - Extension configuration
Mastra Integration - Framework integration
Microsoft Extensions - Licensed extensions
Redis/Valkey Integration - Caching implementation

📊 Data & Storage

Database Systems

Prisma pgvector Tests - Vector database test results
Storage Sizing Analysis - Storage optimization
Helm Scaling Analysis - Kubernetes scaling

Performance & Optimization

Infrastructure Fixes - Recent infrastructure updates
Helm Deployment Guide - Kubernetes deployment
Comprehensive Environment Test - Environment validation

🎨 Frontend & UI

Tailwind CSS Implementation

Tailwind v4 Success Guide - Production implementation
Tailwind v4 Testing Report - Complete test results
Tailwind v4 Migration Notes - Migration journey
x86-64 Production Test - Architecture verification

📜 Legal & Compliance

Licensing & Legal

License Sweep - GenAI library licenses
Third Party Notices - Legal compliance
Contributing Guidelines - Contribution process
Code of Conduct - Community standards

🔄 Recent Updates & Status

September 17, 2025

✅ Documentation Consolidation - Unified Astro documentation site
✅ Navigation Restructure - Improved information architecture
✅ Link Validation - All internal references updated
✅ Feature Documentation - Latest AI enhancements documented

July 22, 2025

✅ Docker Doctor TUI - Complete interactive troubleshooting tool
✅ Hypervisor Diagnostics - Apple Silicon compatibility checks
✅ CLI Automation - Command-line flags and logging support
✅ KIND Environment - Fully operational with all services
✅ Resource Management - Memory optimization and cleanup

July 21, 2025

✅ Vector Database Abstraction - Open-source multi-provider support (pgvector, Chroma, Weaviate)
✅ Unified AI Client - LiteLLM-inspired multi-provider architecture
✅ Agent Framework - Multi-agent coordination and orchestration
✅ Enhanced Chat APIs - Advanced streaming with fallback chains

July 20, 2025

✅ Enhanced AI Features - Multi-provider system with 12+ models
✅ Real-time Analytics - Cost tracking and performance metrics
✅ Advanced RAG - Multi-threshold context retrieval
✅ LLM Observability - Complete Datadog integration

July 19, 2025

✅ Database Schema - Complete Prisma implementation
✅ Vector Search - pgvector integration with embeddings
✅ Test Infrastructure - Comprehensive testing framework
✅ Performance Monitoring - Database and AI operation tracking

📈 Platform Metrics

Current Status

AI Models: 12+ models across 5 providers (OpenAI, Anthropic, Google, Meta, Mistral)
Test Coverage: 80%+ across all modules
Documentation: 100+ comprehensive guides and references
Infrastructure: Production-ready with full automation
Monitoring: Complete observability with Datadog + Prometheus

Performance Benchmarks

AI Response Time: <2s average for enhanced chat
Vector Search: <100ms for semantic queries
Database Performance: Optimized with pgvector indexing
Container Startup: <30s for full stack deployment

🔗 External Resources

GitHub Repositories

Main Repository - Primary codebase
Documentation Site - This documentation

Monitoring Dashboards

Datadog Application Performance - Real-time metrics
Datadog LLM Observability - AI operation tracing
Kubernetes Dashboard - Infrastructure monitoring

Status: ✅ All documentation current and validated
Last Validation: September 17, 2025
Next Review: Quarterly update cycle