# EditAI Development Roadmap This document outlines the development roadmap for EditAI, combining Monaco Editor with powerful AI capabilities and context management. ## MVP 1: Core Integration **Focus**: Basic editor with Copilot integration and context management ### Features - [ ] Editor Core (Monaco) - Out-of-box Monaco features - Vim mode - Basic Git integration - File explorer with search - [ ] AI Integration - GitHub Copilot API integration - Alternative AI models support (OpenAI, Anthropic) - Inline completions - Chat interface - [ ] Context Management - File-based context - Project summary generation - Conversation history - Context pinning - [ ] Terminal Integration - Integrated terminal - Command understanding - Command execution - Output parsing - [ ] CLI Interface - File operations - Git commands - AI interactions - Context management ### Technical Implementation - Frontend: - Monaco editor setup - Copilot suggestion UI - Context visualization - File tree component - Terminal component - Backend: - Multiple AI providers - Context storage system - CLI framework - File system operations - Terminal session management - Command execution engine ## MVP 2: Enhanced Context & Capabilities **Focus**: Advanced context understanding and task automation ### Features - [ ] Advanced Context - Multi-file understanding - Dependency graph analysis - Code flow tracking - Task-specific contexts - [ ] Enhanced Capabilities - Web page fetching - Documentation parsing - API integration - Environment understanding - [ ] Command Intelligence - Command suggestion - Parameter understanding - Output interpretation - Error handling - [ ] Task Management - Task definition system - Capability specification - Progress tracking - Result validation - [ ] Integration Features - External tool integration - Custom commands - Webhook support - Event system ### Technical Implementation - Frontend: - Task management UI - Capability editor - Integration dashboard - Advanced terminal features - Backend: - Task orchestration - Web fetching system - Capability framework - Event processing - Command analysis system - Shell integration ## MVP 3: Autonomous Operations **Focus**: AI-driven task execution and workflow automation ### Features - [ ] Autonomous Agents - Task planning - Resource gathering - Self-verification - Multi-step operations - [ ] Enhanced Search - Code semantic search - Web search integration - Documentation search - Context-aware results - [ ] Command Automation - Command chaining - Script generation - Environment setup - Error recovery - [ ] Tool Creation System - YAML-based tool definition - Built-in capabilities: - Terminal command execution - HTTP requests - Browser automation (Puppeteer) - Computer vision - Lua scripting - Tool versioning - Testing interface - Live preview - Version control integration - [ ] Tool Management - Tool marketplace - Version management - Dependency resolution - Security scanning - [ ] Organization Features - Shared knowledge base - Code style guides - Development guidelines - API documentation - Framework documentation - Best practices - Knowledge synchronization - Auto-update from external sources - Version tracking - Conflict resolution - Team collaboration - Shared contexts - Custom prompts - Tool sharing - [ ] Workflow System - CI/CD integration - Security checks - Code quality - Custom validations - Custom workflows - Code review - Documentation - Deployment - Workflow templates - Industry standards - Best practices - Compliance checks - [ ] Project Configuration (.editai) - Organization settings - Knowledge base configuration - Workflow definitions - Security policies - Tool configurations - [ ] Team Features - Shared context - Knowledge base - Custom agents - Team workflows ### Technical Implementation - Frontend: - Tool creation editor - YAML syntax highlighting - Schema validation - Capability autocomplete - Live preview panel - Tool testing interface - Tool version management UI - Collaborative features UI - Advanced debugging interface - Team management dashboard - Backend: - Tool execution engine - Terminal integration - HTTP client - Puppeteer service - Vision processing - Lua VM - Tool versioning system - Tool validation - Security sandbox - Agent orchestration - Real-time collaboration - Build system integration - Team management - Knowledge sync system - Workflow engine - Organization management ## Technical Stack ### Frontend - Monaco Editor - Svelte - WebSocket - Custom suggestion UI - xterm.js for terminal - YAML schema validation - Lua editor support ### Backend - Go server - Multiple AI providers: - GitHub Copilot API - OpenAI API - Anthropic API - Vector DB (context storage) - SQLite (local data) - PTY handling - Shell integration - Puppeteer service - Lua VM integration - Vision processing - Tool version control - Knowledge sync system - Workflow engine - Organization management ## Development Principles 1. **Context First**: Maximize understanding of code and intent 2. **CLI & UI Parity**: All features available in both interfaces 3. **Extensible AI**: Support multiple AI providers 4. **Task Automation**: Enable complex multi-step operations 5. **Smart Defaults**: Powerful out-of-box experience 6. **Command Understanding**: Deep integration with shell and commands 7. **Knowledge Sharing**: Enable efficient knowledge distribution and reuse 8. **Workflow Standardization**: Maintain consistency across teams and projects ## Success Metrics - Context accuracy - Task completion rate - Command accessibility - AI response quality - User productivity - Command understanding accuracy ## Future Considerations - Custom AI fine-tuning - Advanced agent collaboration - Enterprise features - Custom capability marketplace - Local AI model support - Advanced shell integration