KandiForge Glossary

Comprehensive reference for all KandiForge terms, components, and concepts
Categories
All Terms (23)
Core Platform (1)
Core Library (2)
Core Concept (1)
Command Line (1)
CLI System (1)
AI Integration (5)
Version Control (1)
Authentication (1)
Core Technology (1)
Protocol Integration (1)
Integration (1)
Optimization (1)
AI Enhancement (1)
Architecture (1)
Platform (1)
Workflow (1)
System (1)
Templates (1)

The main desktop application ecosystem for AI-assisted software development, available on macOS, Windows, and iOS.

Examples
  • KandiForge for macOS
  • KandiForge for Windows
  • KandiForge iOS Companion
Technical Details
  • Native Swift application for macOS and iOS
  • C# WPF application for Windows
  • Shared API protocols across platforms
  • Integrated terminal and project management
Related Terms
KandiKit
Kandi CLI
Spec

The foundational Swift library providing AI services, GitHub integration, and specification management across the Kandi ecosystem.

Examples
  • Anthropic API integration
  • GitHub OAuth flow
  • Conversation management
Technical Details
  • Swift Package Manager library
  • Observable patterns for UI binding
  • Secure credential management
  • Cross-platform HTTP client abstraction
Related Terms
KandiForge
AnthropicClient
GitHubService

A structured specification document that describes software requirements, implementation details, and acceptance criteria for AI-assisted development.

Examples
  • User authentication spec
  • API endpoint specification
  • UI component requirements
Technical Details
  • Markdown-based format
  • Template-driven generation
  • Version control integration
  • AI-parseable structure
Related Terms
Spec Template
Spec Execution
AI Assistant

Pre-defined specification templates organized by category (Business, Coding, Creative, Documentation) that provide starting points for common development tasks.

Examples
  • Login form template
  • API design template
  • Component architecture template
Technical Details
  • Embedded resource system
  • Categorized organization
  • Customizable placeholders
  • Extensible template format
Related Terms
Spec
Template Manager
Categories

Cross-platform command-line interface for executing specs, managing projects, and integrating with CI/CD pipelines.

Examples
  • kandi exec-spec "login feature"
  • kandi github create-issue
  • kandi optimize-context
Technical Details
  • Single binary deployment
  • Cross-platform Rust implementation
  • JSON-based communication protocol
  • Process-based tool execution
Related Terms
CLI Library
Rust Core
Process Execution

The foundational library (kandi-cli-library) that provides programmatic access to all Kandi CLI features and tools.

Examples
  • Tool execution engine
  • Session management
  • Logger integration
Technical Details
  • Modular tool architecture
  • Plugin system for extensibility
  • State management and persistence
  • Comprehensive logging framework
Related Terms
Kandi CLI
Tool Executor
Session State

The engine responsible for discovering, registering, and executing individual tools within the CLI environment.

Examples
  • BashTool execution
  • FileOperations tool
  • GitHubIntegration tool
Technical Details
  • Dynamic tool registration
  • Dependency injection pattern
  • Error handling and recovery
  • Performance monitoring and profiling
Related Terms
CLI Library
Tool Registry
Session State

Multi-provider AI integration supporting Anthropic Claude, OpenAI GPT, and xAI Grok for diverse AI assistance throughout the development workflow.

Examples
  • Code generation from specs
  • Technical documentation creation
  • Code review assistance
  • Multi-model comparison
Technical Details
  • Multi-provider architecture
  • Claude 3.5 Sonnet integration
  • GPT-4 and GPT-3.5 support
  • Grok real-time capabilities
  • Provider switching and comparison
Related Terms
Anthropic Client
OpenAI Client
Grok Client
Streaming Response

OpenAI GPT model integration providing alternative AI assistance with different strengths and capabilities.

Examples
  • GPT-4 code generation
  • Chat completions
  • Function calling
  • Code analysis
Technical Details
  • OpenAI API v1 integration
  • GPT-4 and GPT-3.5-turbo support
  • Function calling capabilities
  • Chat completions API
  • Token usage optimization
Related Terms
AI Assistant
Multi-Provider
API Client

xAI Grok integration providing real-time information access and alternative AI perspectives for development tasks.

Examples
  • Real-time web data
  • Current technology trends
  • Alternative problem approaches
  • Fast responses
Technical Details
  • xAI API integration
  • Real-time web search capabilities
  • Up-to-date information access
  • Alternative reasoning approaches
  • Fast response optimization
Related Terms
AI Assistant
Real-time Data
Multi-Provider

The HTTP client implementation that handles communication with Anthropic's Claude API, including authentication, streaming, and error handling.

Examples
  • Message sending
  • Streaming responses
  • Token usage tracking
Technical Details
  • OAuth 2.0 authentication
  • Server-sent events for streaming
  • Rate limiting and retry logic
  • Comprehensive error handling
Related Terms
AI Assistant
API Client
Streaming

Real-time response delivery from the AI assistant that provides immediate feedback as content is generated, improving user experience.

Examples
  • Live code generation
  • Real-time typing indicators
  • Progressive content loading
Technical Details
  • Server-sent events protocol
  • Chunk-based content delivery
  • UI state synchronization
  • Interrupt capability for user control
Related Terms
AI Assistant
AnthropicClient
Token Streaming

Comprehensive GitHub API integration providing repository management, issue tracking, and automated workflows within the Kandi ecosystem.

Examples
  • Repository cloning
  • Issue creation from specs
  • Pull request automation
Technical Details
  • GitHub REST API v4 integration
  • OAuth 2.0 Device Flow authentication
  • Repository operations and file management
  • Webhook integration for real-time updates
Related Terms
GitHubService
OAuth Flow
Repository Management

GitHub's device-based authentication mechanism that allows secure login without exposing credentials in desktop and CLI applications.

Examples
  • Desktop app GitHub login
  • CLI authentication setup
  • Token refresh handling
Technical Details
  • Device code generation and polling
  • Secure token storage in system keychain
  • Automatic token refresh mechanism
  • Scope-based permission management
Related Terms
GitHub Integration
Security
Authentication

The high-performance Rust implementation that powers cross-platform CLI tools, MCP servers, and core library functionality.

Examples
  • kandi-rust-cli-exe
  • kandi-rust-mcp-server
  • kandi-rust-core-lib
Technical Details
  • Memory-safe systems programming
  • Zero-cost abstractions
  • Cross-compilation support
  • C-compatible FFI interface
Related Terms
Cross-Platform
Performance
Memory Safety

Model Context Protocol server implementation that enables Claude Desktop to discover and execute Kandi tools as native Claude capabilities.

Examples
  • Tool discovery for Claude
  • Real-time context streaming
  • Plugin architecture
Technical Details
  • Standard MCP protocol implementation
  • JSON-RPC communication
  • Tool capability advertisement
  • Context-aware tool execution
Related Terms
Claude Desktop
Tool Integration
Protocol

Foreign Function Interface bridge that allows Swift applications to call Rust library functions with type safety and performance.

Examples
  • Swift to Rust API calls
  • Memory management across languages
  • Type conversion
Technical Details
  • C-compatible interface layer
  • Memory safety across language boundaries
  • Async/await pattern preservation
  • Error handling translation
Related Terms
Rust Core
Swift Integration
Performance

Context optimization tool that reduces token usage by intelligently analyzing and compressing repository content while maintaining relevance.

Examples
  • Token reduction for large codebases
  • Smart context filtering
  • Relevance scoring
Technical Details
  • Rust-based context analysis engine
  • Machine learning relevance scoring
  • Incremental indexing system
  • Configurable compression strategies
Related Terms
Context Optimization
Token Usage
Performance

The process of reducing and optimizing context sent to AI models to improve response quality while minimizing token costs.

Examples
  • Repository indexing
  • Relevance filtering
  • Smart chunking
Technical Details
  • Abstract syntax tree analysis
  • Semantic similarity matching
  • Progressive context loading
  • Cache-based optimization
Related Terms
SuperSmall
Token Usage
AI Efficiency

The ability to run the same core functionality across different operating systems (macOS, Windows, Linux) with platform-specific optimizations.

Examples
  • Single Rust codebase
  • Native UI per platform
  • Shared protocols
Technical Details
  • Conditional compilation for platform features
  • Native system integration per OS
  • Shared business logic layer
  • Platform-specific UI frameworks
Related Terms
Rust Core
Platform Integration
Deployment

Deep integration with platform-specific features like keychains, file systems, and UI frameworks for optimal user experience.

Examples
  • macOS Keychain access
  • Windows Credential Manager
  • Platform file dialogs
Technical Details
  • Platform API abstraction layers
  • Native credential storage
  • OS-specific file system integration
  • Platform UI component usage
Related Terms
Security
Platform Specific
User Experience

The automated process of taking a specification document and using AI assistance to implement the described functionality.

Examples
  • Code generation from spec
  • File creation and modification
  • Test generation
Technical Details
  • Multi-round AI conversation flow
  • File operation parsing and execution
  • Progress tracking and logging
  • Error recovery mechanisms
Related Terms
Spec
AI Assistant
Automation

Persistent state management that tracks conversation history, project context, and user preferences across application sessions.

Examples
  • Conversation history
  • Project settings
  • User preferences
Technical Details
  • SQLite-based local storage
  • Encrypted sensitive data storage
  • Session migration and backup
  • Cross-device synchronization capability
Related Terms
State Management
Persistence
User Experience