Complete Me: A context-aware, blazing fast markup editor.

Complete Me - AI-Enhanced JSON and Markup Editor Specification

Executive Summary

Problem Statement

1. Navigate away from their editor
2. Find the correct resource
3. Copy the exact reference
4. Return to the editor and paste
5. Hope the reference doesn't break
6. Repeat this process countless times ^[mxsm4j]

• Remote image URLs in design systems
• Component paths in code repositories
• Figma object references in design workflows
• API endpoints and database schema references
• Configuration values across distributed systems

Vision & Core Features

Primary Objectives

• Universal Data Source Integration: Connect any data source (directories, APIs, databases, CSVs) to provide contextual autocomplete ^{[t2zden] [kx9vzr]}
• Lightning-Fast Search: Sub-100ms response times through intelligent memory management and indexing ^{[iq5hd1] [f19eua]}
• Contextual Intelligence: AI-powered suggestions that understand the current editing context ^{[ve3a64] [2bhpgf]}
• Rigorous Accuracy: Fuzzy matching with precision controls to prevent broken references ^{[376r55] [v0m3ct]}

Key Differentiators

• Multi-Source Awareness: Simultaneously index and search across heterogeneous data sources
• Memory-Optimized Performance: Efficient in-memory indexing for instant results ^{[h6lkk8] [i5jb4g]}
• Context-Aware Suggestions: Understanding of JSON/YAML/TOML structure and property types ^{[pjaus0] [l805up]}
• Fuzzy Search Excellence: Advanced matching algorithms that balance speed with accuracy ^{[4yihdn] [5gf4mm]}

System Architecture

Core Components

1. Data Source Management Layer

interface DataSource {
  id: string;
  type: 'directory' | 'api' | 'csv' | 'database' | 'figma' | 'custom';
  config: DataSourceConfig;
  indexer: DataIndexer;
  lastSync: Date;
  status: 'active' | 'syncing' | 'error';
}

interface DataSourceConfig {
  // Directory sources
  path?: string;
  filePatterns?: string[];
  recursive?: boolean;
  
  // API sources
  endpoint?: string;
  authentication?: AuthConfig;
  pagination?: PaginationConfig;
  
  // Database sources
  connectionString?: string;
  query?: string;
  
  // Custom extractors
  transformer?: ( any) => IndexableItem[];
}

2. Intelligent Indexing Engine

interface SearchIndex {
  // Trie-based prefix search for O(k) lookup time
  prefixIndex: TrieNode;
  
  // Fuzzy matching with configurable distance thresholds
  fuzzyMatcher: FuzzyMatcher;
  
  // Contextual scoring based on current editor state
  contextEngine: ContextEngine;
  
  // Memory-optimized storage
  itemStore: CompressedItemStore;
}

interface IndexableItem {
  id: string;
  value: string;           // The actual value to insert
  displayName: string;     // Human-readable label
  category: string;        // Grouping category
  meta {
    source: string;
    type: string;
    description?: string;
    tags?: string[];
    lastModified: Date;
  };
  searchTokens: string[];  // Preprocessed search terms
  contextHints: string[];  // JSON path patterns where this is relevant
}

3. Context-Aware Autocomplete Engine

interface AutocompleteContext {
  // Current editing position
  cursorPosition: number;
  currentLine: string;
  
  // JSON/YAML structure context
  jsonPath: string[];
  expectedType: 'string' | 'number' | 'boolean' | 'array' | 'object';
  
  // Semantic context
  propertyName: string;
  parentObject: any;
  
  // Historical context
  recentSelections: string[];
  userPatterns: UserPattern[];
}

interface UserPattern {
  context: string;      // JSON path pattern
  preferences: string[]; // Ordered list of preferred values
  frequency: number;
}

Technical Stack

Desktop Application Framework

• Electron: Cross-platform desktop application ^{[80h44c] [u7a79p] [kyh8qm]}
• TypeScript: Type-safe development with advanced autocomplete features ^{[t1yfex] [bb01xn]}
• React: Modern UI with efficient re-rendering
• Monaco Editor: VS Code editor engine with rich JSON/YAML support ^[pjaus0]

High-Performance Backend

• Node.js: Runtime for data processing and indexing
• SQLite with FTS5: Full-text search capabilities for complex queries ^[tnoa3x]
• In-Memory Structures: Optimized tries and hash maps for sub-millisecond lookups ^[f19eua]
• Worker Threads: Non-blocking data source synchronization

Search & Matching Libraries

• RapidFuzz: High-performance fuzzy string matching (4.13x faster than alternatives) ^{[p642xg] [rck5qh]}
• Fuse.js: Configurable fuzzy search with advanced scoring ^[v0m3ct]
• Custom Trie Implementation: Optimized for prefix-based autocomplete

Data Source Connectors

• File System: Directory scanning with watch capabilities
• REST APIs: OAuth, API key, and custom authentication support ^{[7zo46g] [pj2v3u]}
• Database: PostgreSQL, MySQL, SQLite connectors
• Cloud Services: AWS S3, Google Drive, Dropbox integration
• Design Tools: Figma API, Sketch, Adobe XD connectors ^{[9kmbri] [n7wa2b]}

Advanced Autocomplete Features

1. Multi-Source Fuzzy Search

interface FuzzySearchConfig {
  // Distance thresholds for different contexts
  maxDistance: {
    strict: 1;      // For critical references like URLs
    normal: 2;      // For general content
    loose: 3;       // For exploratory search
  };
  
  // Scoring weights
  weights: {
    prefixMatch: 0.4;     // Exact prefix matching
    fuzzyMatch: 0.3;      // Levenshtein distance
    contextRelevance: 0.2; // JSON path context
    frequency: 0.1;       // Usage frequency
  };
  
  // Performance limits
  maxResults: 50;
  timeoutMs: 100;
}

2. Contextual Intelligence

• Property Type Awareness: Suggests URLs for src properties, colors for color properties
• Schema Validation: Integrates with JSON Schema for type-safe suggestions
• Pattern Recognition: Learns from user behavior to predict likely values
• Cross-Reference Detection: Identifies relationships between different parts of the document

3. Real-Time Data Synchronization

interface SyncStrategy {
  // Polling for APIs without webhooks
  polling: {
    interval: number;
    backoffStrategy: 'linear' | 'exponential';
  };
  
  // Webhook endpoints for real-time updates
  webhooks: {
    endpoint: string;
    secret: string;
  };
  
  // File system watching
  fileWatch: {
    debounceMs: number;
    batchSize: number;
  };
}

4. Memory-Optimized Performance

• Lazy Loading: Load frequently used data first
• Compression: Efficient storage of large datasets
• Caching Layers: Multi-level caching with LRU eviction
• Index Partitioning: Split large indexes for parallel searching

Data Source Integration Examples

1. Markdown Documentation Directory

const docsSource = {
  type: 'directory',
  config: {
    path: '/project/docs',
    filePatterns: , ['*.md', '*.mdx']
    recursive: true,
    transformer: (file) => ({
      value: file.relativePath,
      displayName: file.title || file.filename,
      category: 'documentation',
      contextHints: ['docs', 'documentation', 'readme']
    })
  }
};

2. Supabase API Integration

const supabaseSource = {
  type: 'api',
  config: {
    endpoint: 'https://your-project.supabase.co/rest/v1/components',
    authentication: {
      type: 'bearer',
      token: process.env.SUPABASE_API_KEY
    },
    transformer: (response) => response.data.map(item => ({
      value: `/components/${item.slug}`,
      displayName: item.name,
      category: 'components',
      meta {
        description: item.description,
        tags: item.tags
      }
    }))
  }
};

3. Figma Design System

const figmaSource = {
  type: 'figma',
  config: {
    fileKey: 'your-figma-file-key',
    authentication: {
      type: 'bearer',
      token: process.env.FIGMA_TOKEN
    },
    transformer: (figmaData) => [
      ...figmaData.components.map(comp => ({
        value: `figma://component/${comp.id}`,
        displayName: comp.name,
        category: 'design-components'
      })),
      ...figmaData.styles.map(style => ({
        value: style.key,
        displayName: style.name,
        category: 'design-tokens'
      }))
    ]
  }
};

User Experience Design

1. Intelligent Trigger System

• Property-Based: Automatic activation for known property types (src, href, component)
• Pattern-Based: Custom patterns like ./, ../, https:// trigger relevant sources
• Manual Activation: Ctrl+Space for explicit autocomplete invocation
• Fuzzy Activation: Special characters like * enable fuzzy search mode

2. Rich Suggestion Interface

interface SuggestionUI {
  // Grouped results with clear category headers
  groups: Array<{
    category: string;
    items: SuggestionItem[];
    icon: string;
  }>;
  
  // Rich metadata display
  preview: {
    description: string;
    source: string;
    lastModified: string;
    relatedItems: string[];
  };
  
  // Keyboard navigation
  navigation: {
    upDown: 'select-item';
    leftRight: 'expand-preview';
    enter: 'accept-suggestion';
    escape: 'dismiss';
  };
}

3. Progressive Enhancement

• Offline Mode: Cached suggestions from previous sessions
• Partial Loading: Show available sources while others sync
• Error Recovery: Clear error states with retry mechanisms

Performance Optimizations

1. Memory Management Strategy

• Circular Buffers: Fixed-size caches for search results ^[iq5hd1]
• Reference Counting: Efficient cleanup of unused data
• Memory Pools: Pre-allocated structures for high-frequency operations

2. Search Optimization Techniques

• Index Compression: Compressed tries with shared prefixes ^[i5jb4g]
• Bloom Filters: Fast negative lookups to avoid expensive operations
• Parallel Processing: Multi-threaded search across data sources

3. Response Time Guarantees

interface PerformanceConfig {
  // Hard limits to maintain responsiveness
  maxSearchTime: 100;     // milliseconds
  maxIndexTime: 5000;     // milliseconds
  maxMemoryUsage: 512;    // MB
  
  // Progressive loading thresholds
  instantResults: 10;     // Show immediately
  fastResults: 50;        // Show within 50ms
  completeResults: 100;   // Full results within 100ms
}

Configuration & Extensibility

1. User Configuration Interface

{
  "dataSources": [
    {
      "name": "Project Components",
      "type": "directory", 
      "enabled": true,
      "config": {...},
      "triggers": , ["component", "import"]
      "priority": 10
    }
  ],
  "autocomplete": {
    "minQueryLength": 2,
    "maxSuggestions": 50,
    "fuzzyThreshold": 0.7,
    "enableContextAware": true
  },
  "performance": {
    "maxMemoryMB": 512,
    "indexUpdateInterval": 300000
  }
}

2. Plugin Architecture

interface DataSourcePlugin {
  name: string;
  version: string;
  
  // Factory function for creating data source instances
  createDataSource(config: any): DataSource;
  
  // UI components for configuration
  configSchema: JSONSchema;
  configComponent: React.Component;
  
  // Validation and testing
  validateConfig(config: any): ValidationResult;
  testConnection(config: any): Promise<TestResult>;
}

Security & Privacy

1. Data Protection

• Local Processing: All indexing happens locally, no cloud dependencies
• Encrypted Storage: Sensitive configuration encrypted at rest
• Permission Management: Granular access controls for different data sources
• Audit Logging: Track data access for compliance

2. API Security

• Credential Management: Secure storage using OS keychain
• Token Rotation: Automatic refresh for OAuth flows
• Rate Limiting: Respect API limits and implement backoff strategies
• HTTPS Only: All external communications encrypted

Testing & Quality Assurance

1. Performance Testing

• Search Latency: Automated tests ensuring <100ms response times
• Memory Usage: Continuous monitoring of memory consumption
• Stress Testing: Large dataset handling (1M+ items)
• Concurrent Access: Multi-thread safety validation

2. Accuracy Testing

• Fuzzy Match Quality: Precision/recall metrics for different datasets
• Context Relevance: User acceptance testing for suggestion quality
• Edge Case Handling: Malformed data, network failures, large files

3. User Experience Testing

• Accessibility: Screen reader compatibility, keyboard navigation
• Performance Perception: User-perceived response times
• Error Recovery: Graceful degradation scenarios

Future Enhancements

1. AI-Powered Features

• Semantic Search: Understanding intent beyond string matching
• Intelligent Caching: ML-driven prediction of needed data
• Natural Language Queries: "Find all components with buttons"
• Auto-Completion: Generate entire configuration blocks

2. Collaborative Features

• Shared Data Sources: Team-wide configuration sharing
• Usage Analytics: Track most-used suggestions across teams
• Suggestion Voting: Community-driven relevance scoring
• Live Collaboration: Real-time editing with shared context

3. Advanced Integrations

• Version Control: Git-aware suggestions with branch context
• Build System: Integration with webpack, vite, etc.
• Design Tools: Expanded support for Sketch, Adobe XD, etc.
• Cloud Platforms: Native AWS, GCP, Azure connectors

Success Metrics

Quantitative Goals

• 50% reduction in time spent on data reference lookup ^[t76pzh]
• 95% accuracy in fuzzy matching for typical use cases
• <100ms response time for 99th percentile searches ^[p642xg]
• 10x productivity improvement in JSON/YAML configuration tasks

Qualitative Goals

• Seamless workflow integration - users rarely leave the editor
• Intuitive discoverability - new users understand features immediately
• Reliable performance - consistent behavior across different data sources
• Extensible architecture - easy addition of new data source types

Implementation Roadmap

Phase 1: Core Engine (Months 1-3)

• Basic Electron application with Monaco editor
• File system data source connector
• In-memory indexing with trie structures
• Simple fuzzy search implementation

Phase 2: Advanced Features (Months 4-6)

• API data source connectors
• Context-aware autocomplete engine
• Multi-source search capabilities
• Performance optimizations

Phase 3: Polish & Integration (Months 7-9)

• Rich UI with grouped suggestions
• Configuration management system
• Plugin architecture
• Comprehensive testing suite

Phase 4: Advanced Sources (Months 10-12)

• Database connectors
• Cloud service integrations
• Design tool APIs (Figma, Sketch)
• Advanced fuzzy matching algorithms

Conclusion

Sources