This directory contains comprehensive architecture documentation and diagrams for the KAI distributed object model system.
resources/
├── diagrams/ # System architecture diagrams
│ ├── overall-system-architecture.md # High-level system overview
│ ├── language-system-architecture.md # Pi/Rho/Tau language systems overview
│ ├── pi-language-architecture.md # Pi stack-based language details
│ ├── rho-language-architecture.md # Rho infix language details
│ ├── tau-language-architecture.md # Tau IDL code generation details
│ ├── console-networking-architecture.md # Console-to-console communication
│ ├── build-system-architecture.md # CMake build system structure
│ └── test-system-architecture.md # Test infrastructure design
├── architecture/ # Detailed architecture documentation
│ └── system-overview.md # Comprehensive system analysis
└── README.md # This file
All diagrams are created using Mermaid syntax and can be viewed in any Markdown viewer that supports Mermaid rendering (GitHub, GitLab, VS Code, etc.).
- High-level component relationships
- Data flow between major systems
- Core design patterns and principles
- Component interaction models
- Translation pipeline overview (Lexer → Parser → Translator)
- Language hierarchy (Tau → Rho → Pi → Executor)
- Cross-language communication patterns
- AST and code generation processes
- Stack-based execution model and operations
- Two-stack architecture (data and context stacks)
- Continuation creation and execution flow
- Pi-specific optimization techniques and performance characteristics
- Infix notation translation to Pi operations
- Expression parsing with operator precedence
- Control flow translation (if/while/for → Pi constructs)
- Rho-Pi integration and variable sharing mechanisms
- Interface Definition Language (IDL) processing
- Multi-target code generation (Proxy/Agent/Struct)
- Network protocol integration and async operations
- Type system mapping and serialization strategies
- Peer-to-peer communication model
- Network message protocol design
- Thread safety and concurrency patterns
- Console command structure and flow
- CMake project organization
- Dependency relationships
- Build target configuration
- Output structure and packaging
- Test suite organization and execution
- Quality assurance workflows
- Coverage analysis and reporting
- Continuous integration pipeline
The KAI system demonstrates several important architectural patterns:
- Registry Pattern: Centralized object lifecycle management
- Virtual Machine Pattern: Stack-based execution engine
- Interpreter Pattern: Multi-language execution environment
- Proxy Pattern: Network transparency for distributed objects
- Observer Pattern: Event-driven network communication
- Factory Pattern: Type-safe object creation
- Command Pattern: Operations as first-class objects
These diagrams and documentation serve multiple purposes:
- Developer Onboarding: Understand system architecture quickly
- Design Documentation: Reference for system design decisions
- Maintenance Guide: Navigate complex system relationships
- Extension Planning: Understand how to add new components
- Code Reviews: Validate changes against architectural principles
The Mermaid diagrams can be viewed in several ways:
- GitHub/GitLab: Native Mermaid rendering in web interface
- VS Code: Mermaid Preview extension
- Online Viewers: Mermaid Live Editor
- Local Tools: Any Markdown viewer with Mermaid support
- Total Source Files: 629 C++/.h files
- Documentation Files: 70+ README.md files
- Test Cases: 200+ comprehensive test cases
- Build Targets: 15+ libraries and executables
- Network Protocols: 4 message types for console communication
- Languages: 3 integrated programming languages (Pi/Rho/Tau)
- Platforms: Linux, Windows, macOS support
When modifying the system architecture:
- Update relevant architecture diagrams
- Ensure documentation reflects changes
- Validate against existing design patterns
- Update system overview documentation
- Consider impact on all architectural layers
For questions about the architecture or suggestions for improvements, please refer to the main project documentation or create an issue in the project repository.