Tenets Architecture Documentation

Tenets is a sophisticated, local-first code intelligence platform that revolutionizes how developers interact with their codebases when working with AI assistants. This documentation provides a comprehensive overview of the system's architecture, organized into specialized areas.

Overview

Tenets employs advanced multi-stage analysis combining NLP, ML, static code analysis, git history mining, and intelligent ranking to build optimal context for AI interactions. The system is designed with local-first processing, progressive enhancement, intelligent caching, and configurable intelligence as core principles.

Architecture Components

Core System

• System Overview - Core philosophy and architecture principles
• Complete System Architecture - High-level data flow and component diagrams
• Performance Architecture - Optimization strategies and performance considerations

Processing Pipeline

• NLP/ML Pipeline - Natural language processing and machine learning components
• File Discovery & Scanning - Intelligent file discovery and filtering system
• Code Analysis Engine - Multi-language code analysis and AST parsing
• Relevance Ranking System - Multi-factor ranking algorithms and strategies

Intelligence & Context

• Context Management & Optimization - Context building and token optimization
• Git Integration & Chronicle System - Git analysis and repository insights
• Guiding Principles (Tenets) System - Persistent instruction system

Data & Storage

• Session Management - Session lifecycle and state management
• Storage & Caching Architecture - Multi-tier caching and persistence
• Configuration System - Hierarchical configuration management

Interfaces & Security

• CLI & API Architecture - Command-line and programmatic interfaces
• Output Generation & Visualization - Report generation and visualization
• Security & Privacy Architecture - Local-first security model and privacy protection

Quality & Future

• Testing & Quality Assurance - Testing strategies and quality metrics
• Future Roadmap & Vision - Development roadmap and long-term vision

Key Features

• Local-First Processing: All analysis happens locally, ensuring complete privacy
• Progressive Enhancement: Works immediately with basic Python, scales with optional dependencies
• Intelligent Caching: Multi-level caching for optimal performance
• Configurable Intelligence: Every aspect can be tuned and customized
• Streaming Architecture: Real-time results as analysis progresses

Quick Start

For implementation details and usage examples, refer to the individual architecture documents. Each component is designed to work independently while contributing to the overall system intelligence.

Architecture Principles

1. Privacy by Design: No code leaves the local environment
2. Performance First: Optimized for speed and efficiency
3. Extensibility: Modular design for easy enhancement
4. Developer Experience: Intuitive interfaces and comprehensive tooling

The future of code intelligence is local, intelligent, and developer-centric. Tenets embodies this vision while remaining practical and immediately useful for development teams of any size.