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feature-overview.md

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Features Overview

This document provides a comprehensive overview of DXLander's current features and development roadmap.

Status: Heavy Development (Breaking changes expected)

1. Setup & Infrastructure

CLI Installation

  • Command: npx dxlander launches the application
  • Auto-setup: Creates ~/.dxlander/ directory structure
  • Browser launch: Automatically opens web interface
  • First-run detection: Different flow for new vs existing installations

Setup Wizard

  • 3-step process: Welcome → Admin Account → Complete
  • User-friendly interface: Clean ocean-themed design
  • Account creation: Admin user with encrypted password storage
  • Automatic redirect: Sends users to dashboard after completion

2. Project Import System

GitHub Integration

  • Public repositories: Import any public GitHub repo by URL or owner/repo format
  • Private repositories: Support for Personal Access Tokens (PAT)
  • Branch selection: Choose specific branch (defaults to main)
  • Complete file extraction: Downloads all text files (up to 100 files, 500KB each)
  • Smart filtering: Automatically skips binary files and large files

ZIP Upload

  • Drag & drop interface: Modern file upload with visual feedback
  • File size limits: Up to 500MB ZIP archives supported
  • Format support: Standard ZIP file extraction
  • Duplicate detection: SHA256 hashing prevents re-importing same projects

Project Management

  • Dashboard view: List all imported projects with search and filtering
  • Project metadata: Name, source type, import date, status tracking
  • Status indicators: Imported, Analyzing, Configured, Deployed states
  • Project details: Comprehensive project information and file browser
  • Organized storage: Consistent directory structure for all import sources
    • Source files: ~/.dxlander/projects/{projectId}/files/
    • Generated configs: ~/.dxlander/projects/{projectId}/configs/{configId}/

3. Security & Encryption

Encryption System

  • AES-256-GCM encryption: Industry-standard encryption for all sensitive data
  • File-based key storage: Master key stored at ~/.dxlander/encryption.key
  • Environment variable support: Production deployment with DXLANDER_ENCRYPTION_KEY
  • File permissions: 0600 permissions (owner read/write only)
  • Automatic generation: Creates encryption key on first launch
  • Key validation: Enforces minimum 44-character base64 key length for security (32 raw bytes encoded in base64 produce 44 characters)

Authentication

  • JWT tokens: Secure session management
  • Password hashing: bcrypt for password storage
  • Role-based access: Admin and user roles
  • Session persistence: Secure cookie storage with proper expiration

4. AI Provider Management

AI Providers

  • Anthropic Claude Agent SDK: Claude-3 family models with API integration
  • OpenRouter: Unified API for accessing multiple AI models
  • Custom providers: Extensible system for additional AI services

Provider Configuration

  • Secure storage: All API keys encrypted before database storage
  • Default provider logic: Automatic fallback and provider selection
  • Testing interface: Validate API keys and connectivity
  • Multiple providers: Support for multiple configured providers simultaneously

5. Deployment Targets Management

Platform Credentials

  • Supported platforms: Vercel, Railway, Netlify, AWS, GCP, Azure, Docker Registry, Kubernetes, Render, Fly.io, DigitalOcean, Heroku, etc
  • Encrypted storage: All deployment credentials encrypted with AES-256-GCM
  • Platform-specific configuration: Custom forms for each platform's required fields
  • Connection testing: Validate API keys and credentials before saving
  • Default credential management: Set preferred credentials per platform

Deployment Interface

  • Category filtering: PaaS, Cloud Providers, Container Registries
  • Search functionality: Find platforms quickly
  • Grid layout: Visual platform cards with icons
  • Usage tracking: Monitor credential usage and last used timestamps
  • Status indicators: Connected/Error badges for quick health checks

6. User Interface & Design System

Ocean Design System

  • Color scheme: Ocean-inspired blues (#3b82f6 primary)
  • Typography: Satoshi font family throughout
  • Components: shadcn/ui components with custom ocean theme
  • Responsive design: Mobile-first approach with clean layouts

Core Pages

  • Landing page: Welcome screen with setup detection
  • Dashboard: Project overview with status cards and quick actions
  • Import interface: GitHub and ZIP upload with progress tracking
  • Project details: Comprehensive project management interface
  • Deployment targets: Platform credential management with testing
  • Settings hub: Card-based dashboard linking to dedicated settings pages
    • AI Providers: Full AI model configuration page
    • Security & Encryption: Master key management and audit logs
    • Database: Connection settings and storage analytics
    • Backup & Restore: Automatic backups and restore points

7. Database Architecture

Storage Strategy

  • SQLite default: Single-user deployment with local database
  • PostgreSQL ready: Multi-user and production deployment support
  • File storage: Organized local filesystem structure
    • Project root: ~/.dxlander/projects/{projectId}/
    • Source files: {projectId}/files/ (imported code)
    • Configurations: {projectId}/configs/{configId}/ (generated configs)
  • Migration system: Drizzle ORM with version management
  • Consistent imports: All import methods (GitHub, ZIP) currently use the same directory structure

Data Models

  • Users: Account management with encrypted passwords
  • Projects: Import metadata, file tracking, analysis results
  • AI Providers: Encrypted credential storage
  • Deployment Credentials: Platform credentials with encrypted API keys
  • Build Configs: Generated configuration storage
  • Settings: Application configuration and preferences

8. Backup & Restore System

Automatic Backups

  • Scheduled backups: Configurable frequency (hourly, daily, weekly, monthly)
  • Custom timing: Set specific backup times
  • Retention policies: 7, 30, 90 days, or keep forever
  • Auto-cleanup: Remove old backups based on retention settings

Manual Backups

  • On-demand creation: Create backups anytime
  • Named backups: Custom labels for important restore points
  • Pre-update backups: Manual backups before major changes

Restore Operations

  • Point-in-time recovery: Restore from any backup
  • Backup preview: View backup metadata before restoring
  • Safety warnings: Confirmation dialogs with impact warnings
  • Auto-backup before restore: Creates current state backup first

Backup Management

  • Backup history: List all available backups with metadata
  • Import/Export: Transfer backups between instances
  • Storage analytics: Track backup storage usage
  • Encrypted backups: All backups encrypted with master key

🚧 In Development

AI Project Analysis

Framework Detection

  • Backend complete: AI analysis service with comprehensive prompts
  • Frontend pending: UI for displaying analysis results
  • Supported frameworks: Next.js, React, Vue, Python, Go, Node.js, and more

Integration Detection

  • External services: Database connections, authentication, APIs
  • Environment variables: Required and optional configuration
  • Dependency analysis: Package.json, requirements.txt, Cargo.toml parsing
  • Build command inference: Automatic build and start command generation

Configuration Generation

  • Template system: Docker, Docker Compose, Kubernetes, Bash scripts
  • Context-aware: Tailored to detected framework and dependencies
  • Environment injection: Automatic credential and variable management

Planned Features

1. Deployment Integration

Platform Support

  • Cloud platforms: Vercel, Railway, DigitalOcean, AWS, GCP
  • VPS deployment: Custom server deployment with SSH
  • Container platforms: Direct Docker and Kubernetes deployment
  • One-click deployment: Simplified deployment workflows

Deployment Management

  • Status tracking: Real-time deployment monitoring
  • Log aggregation: Centralized deployment logs
  • Rollback capability: Easy rollback to previous versions
  • Health monitoring: Post-deployment health checks

2. Advanced Project Management

Project Templates

  • Starter templates: Pre-configured project templates
  • Team sharing: Shareable project configurations
  • Version control: Configuration version management
  • Backup system: Automatic project and configuration backups

Collaboration Features

  • Team workspaces: Multi-user project management
  • Role management: Granular permission system
  • Activity tracking: Audit logs for all actions
  • Notification system: Deployment and status notifications

Scalability

  • Multi-instance: Distributed deployment support
  • Load balancing: High-availability configurations
  • Database clustering: Multi-region database support
  • Cache layers: Redis integration for performance

Feature Categories

Core Platform Features

  • CLI installation and setup
  • User authentication and management
  • Project import (GitHub, ZIP)
  • Security and encryption
  • Database and storage
  • Deployment targets management
  • Backup and restore system
  • AI project analysis (in development)
  • Configuration generation (in development)
  • Deployment execution (planned)

Developer Experience

  • Modern web interface
  • Responsive design system
  • Real-time feedback
  • Error handling and validation
  • API documentation (planned)
  • SDK development (planned)
  • Plugin system (planned)

Integration Ecosystem

  • AI provider management
  • GitHub integration
  • Cloud platform integration (planned)
  • CI/CD pipeline integration (planned)
  • Monitoring and logging integration (planned)

Technology Readiness

Production Ready

  • Authentication and authorization
  • Data encryption and security
  • Project import and file management
  • Deployment credential management
  • Backup and restore system
  • User interface and design system
  • Database operations and migrations

Development Ready

  • AI analysis backend services
  • Configuration generation templates
  • Project analysis algorithms
  • Integration detection logic

Research Phase

  • Deployment platform integrations
  • Enterprise security features
  • Advanced collaboration tools
  • Performance optimization strategies

Current Limitations

Known Issues

  • AI analysis UI: Backend complete, frontend in development
  • Configuration editing: Basic editor, needs advanced features
  • Deployment: No deployment execution yet
  • Team features: Single-user focused currently
  • Mobile experience: Desktop-optimized, mobile needs work

Development Constraints

  • Breaking changes expected: API and database schema may change
  • Limited testing: Comprehensive test suite in development
  • Documentation: Still being written and updated
  • Error handling: Basic error handling, needs improvement

Performance Benchmarks

Current Performance

  • Import speed: ~2-3 seconds for typical GitHub repos
  • Database queries: <50ms for most operations
  • UI responsiveness: <100ms for most interactions
  • File processing: Handles projects up to 500MB efficiently

Scalability Targets

  • Projects: 1000+ projects per user
  • File size: 1GB+ project support
  • Concurrent users: 100+ users per instance
  • Response time: <200ms for all operations

Getting Involved

Good First Issues

  • UI improvements and polish
  • Documentation writing and examples
  • Test coverage expansion
  • Bug fixes and error handling
  • Integration template creation

Advanced Contributions

  • AI prompt engineering and optimization
  • Deployment platform integration
  • Performance optimization
  • Security enhancements
  • Enterprise feature development

Areas Needing Help

  • Frontend development: React/Next.js components
  • Backend development: Hono/tRPC API endpoints
  • DevOps: Deployment and infrastructure
  • Documentation: User guides and API docs
  • Testing: Unit, integration, and e2e tests