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ROADMAP.md

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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