16 KiB

Raw Blame History

Claude Code Developer Tools - Progressive Specification

Core Challenge

Create self-contained web-based developer tools that enable observability, search, coordination, and shared memory across Claude Code instances. Each tool should progressively build upon web-learned techniques to create increasingly sophisticated systems for understanding and orchestrating AI coding sessions.

Output Requirements

File Naming: claude_devtool_[iteration_number].html

Content Structure: Complete self-contained HTML tool with inline CSS and JavaScript

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>[Tool Name] - Claude Code DevTools</title>
    <style>
        /* Modern developer-focused UI */
        /* Dark theme by default with light mode option */
        /* Code syntax highlighting */
        /* Responsive layouts for data visualization */
    </style>
</head>
<body>
    <header>
        <h1>[Tool Name]</h1>
        <p class="tagline">[Tool Purpose]</p>
    </header>

    <main>
        <!-- Tool Interface -->
        <section class="tool-interface">
            <!-- Interactive controls -->
            <!-- Data input/connection areas -->
            <!-- Real-time visualization -->
        </section>

        <!-- Results/Output Area -->
        <section class="results">
            <!-- Search results, analytics, visualizations -->
            <!-- Export capabilities -->
        </section>

        <!-- Documentation -->
        <section class="docs">
            <h2>About This Tool</h2>
            <div class="doc-content">
                <h3>Purpose</h3>
                <p>[What problem this solves]</p>

                <h3>Features</h3>
                <ul>
                    <li>[Feature 1]</li>
                    <li>[Feature 2]</li>
                </ul>

                <h3>Web Research Integration</h3>
                <p><strong>Source:</strong> [URL]</p>
                <p><strong>Techniques Applied:</strong></p>
                <ul>
                    <li>[Technique 1 from web source]</li>
                    <li>[Technique 2 from web source]</li>
                </ul>

                <h3>Usage</h3>
                <ol>
                    <li>[Step 1]</li>
                    <li>[Step 2]</li>
                </ol>
            </div>
        </section>
    </main>

    <footer>
        <p>Claude Code DevTools | Generated via web-enhanced infinite loop</p>
        <p>Web Source: <a href="[URL]">[URL]</a></p>
    </footer>

    <script>
        // All JavaScript inline - no external dependencies
        // Core functionality implementation
        // Web API integration (localStorage, IndexedDB, etc.)
        // Real-time data processing
        // Visualization rendering
        // Export capabilities
    </script>
</body>
</html>

Tool Categories & Progressive Evolution

Foundation Tools (Iterations 1-5): Data Access & Visualization

Focus: Basic transcript reading, parsing, and simple visualizations

Example Tools:

Transcript Viewer: Load and display Claude Code JSONL transcripts with syntax highlighting
Session Timeline: Visualize conversation flow over time with message markers
Tool Usage Chart: Bar chart showing which tools were used and how often
Search Interface: Simple keyword search across transcript content
Export Utility: Convert JSONL to JSON, CSV, or Markdown formats

Web Learning Focus:

File API and FileReader for local file handling
LocalStorage and IndexedDB for data persistence
Canvas or SVG for basic charts
CSS Grid and Flexbox for layouts
JSON parsing and data transformation

Intermediate Tools (Iterations 6-12): Advanced Search & Analytics

Focus: Sophisticated search, filtering, pattern detection, and analytics

Example Tools:

Multi-Facet Search: Fuzzy search, regex patterns, field-specific filtering
Conversation Graph: Node-link diagram showing message relationships (parent-child)
Productivity Dashboard: Analytics on coding velocity, tool efficiency, session patterns
Error Pattern Detector: Identify and categorize common errors across sessions
Code Extraction Tool: Pull out all code blocks from conversations with syntax highlighting
Session Comparator: Side-by-side comparison of different coding sessions

Web Learning Focus:

Advanced regex and fuzzy matching algorithms
D3.js or similar for interactive visualizations
WebWorkers for performance with large datasets
Advanced filtering and sorting algorithms
Statistical analysis and pattern recognition

Advanced Tools (Iterations 13-20): Coordination & Communication

Focus: Multi-instance coordination, shared memory, real-time collaboration

Example Tools:

Session Orchestrator: Coordinate multiple Claude Code instances on different tasks
Shared Context Manager: Maintain shared knowledge base across instances
Cross-Instance Search: Search transcripts from multiple machines/projects
Collaboration Board: Real-time task assignment and progress tracking
Knowledge Graph Builder: Build interconnected knowledge from all conversations
MCP Server Monitor: Track and visualize MCP server activity across instances
Agent Communication Hub: Message passing between different Claude agents

Web Learning Focus:

WebSocket and Server-Sent Events for real-time communication
SharedArrayBuffer for advanced memory sharing
Service Workers for background sync
IndexedDB for large-scale data storage
Broadcast Channel API for tab communication
WebRTC for peer-to-peer coordination

Expert Tools (Iterations 21+): AI-Enhanced & Predictive Systems

Focus: Machine learning integration, predictive analytics, automated workflows

Example Tools:

Smart Context Recommender: Suggest relevant past conversations for current task
Predictive Tool Selector: Predict which tools will be needed next
Workflow Automation Builder: Record and replay common coding patterns
Anomaly Detector: Identify unusual patterns or potential issues
Session Optimizer: Suggest improvements based on past successful patterns
Auto-Tagger: Automatically categorize and tag conversations
Semantic Search: Vector-based similarity search across all transcripts

Web Learning Focus:

TensorFlow.js for in-browser ML
Vector embeddings and similarity search
Natural language processing libraries
Recommendation algorithms
Clustering and classification techniques
Automated pattern recognition

Design Principles

Developer-First Design

Dark Theme Primary: Easy on eyes during long coding sessions
Monospace Fonts: Code-friendly typography
Syntax Highlighting: Proper code colorization in all contexts
Keyboard Shortcuts: Power-user keyboard navigation
Copy-Friendly: Easy to copy data, code, commands
Performance Focused: Fast load, responsive interactions

Self-Contained Architecture

No External Dependencies: All code inline (CSS, JS, data processing)
Offline Capable: Works without internet after initial load
Browser Storage: Leverage localStorage, IndexedDB for persistence
File API Integration: Direct file access where browser supports it
Progressive Enhancement: Basic functionality without advanced features

Data Integration Strategies

Claude Code Transcript Format:

{
  "uuid": "message-uuid",
  "sessionId": "session-id",
  "timestamp": "2025-10-09T18:00:00Z",
  "message": {
    "role": "user|assistant",
    "content": "message content or array of content blocks"
  },
  "type": "user|assistant|meta|tool",
  "cwd": "/working/directory",
  "version": "1.0.0",
  "gitBranch": "main"
}

Tool Should Handle:

JSONL line-by-line parsing
Message threading via parent-child relationships
Tool call extraction from content blocks
Usage statistics calculation
Multi-session aggregation
Export to multiple formats

Observability Features

What to Track:

Session duration and message counts
Tool usage frequency and success rates
Model used and token consumption
Error patterns and resolution times
Working directory and git branch context
File read/write operations
Command executions
Search query patterns

Visualization Types:

Timeline views of session activity
Network graphs of message relationships
Heatmaps of activity by time/day
Bar/pie charts for tool usage
Scatter plots for correlation analysis
Tree maps for hierarchical data

Search Capabilities

Search Modes:

Full-text search across all content
Regex pattern matching
Fuzzy matching for typo tolerance
Field-specific search (content, session ID, tools, etc.)
Date range filtering
Role-based filtering (user vs assistant)
Tool-based filtering
Model-based filtering

Result Features:

Contextual snippets with highlighting
Score-based ranking
Grouped by session
Exportable results
Result caching for performance

Coordination Mechanisms

Cross-Instance Communication:

Shared localStorage namespace conventions
IndexedDB for larger shared datasets
File-based message passing (watch directories)
WebSocket server for real-time sync
Broadcast Channel for same-origin tabs

Shared Memory Patterns:

Central knowledge base structure
Version control for concurrent edits
Conflict resolution strategies
Cache invalidation protocols
State synchronization methods

Progressive Web Learning Integration

Foundation Level (Iterations 1-5)

Web Resources to Learn From:

MDN Web Docs on File API and FileReader
LocalStorage and IndexedDB tutorials
Canvas and SVG chart examples
JSON parsing best practices
Responsive CSS Grid/Flexbox layouts

Techniques to Apply:

File reading and parsing patterns
Data storage strategies
Basic visualization techniques
Clean UI component design
Error handling patterns

Intermediate Level (Iterations 6-12)

Web Resources to Learn From:

D3.js documentation and examples
Observable notebooks for visualization
Advanced search algorithm implementations
Performance optimization guides
WebWorker usage patterns

Techniques to Apply:

Interactive data visualizations
Efficient search algorithms
Background processing with workers
Advanced filtering techniques
Statistical analysis methods

Advanced Level (Iterations 13-20)

Web Resources to Learn From:

WebSocket and SSE real-time communication
Service Worker documentation
Broadcast Channel API guides
WebRTC peer-to-peer examples
Advanced IndexedDB patterns

Techniques to Apply:

Real-time synchronization
Background sync strategies
Cross-tab communication
P2P data sharing
Large-scale data management

Expert Level (Iterations 21+)

Web Resources to Learn From:

TensorFlow.js tutorials
Vector search implementations
NLP in JavaScript guides
ML model optimization
Recommendation system patterns

Techniques to Apply:

In-browser machine learning
Semantic search algorithms
Predictive analytics
Automated categorization
Pattern recognition

Quality Standards

Functionality

Tool must solve a real Claude Code developer need
Must handle realistic data volumes (1000+ messages)
Must provide clear value over manual approaches
Error handling for malformed data
Graceful degradation for missing data

Usability

Intuitive interface requiring no documentation to start
Clear visual hierarchy and information architecture
Responsive design for different screen sizes
Accessible (keyboard navigation, screen readers)
Fast initial load and responsive interactions

Code Quality

Clean, well-commented JavaScript
Organized CSS with consistent naming
Efficient algorithms and data structures
No memory leaks or performance issues
Browser compatibility (modern browsers)

Documentation

Clear tool purpose statement
Feature list with examples
Web source attribution with specifics
Techniques learned and applied
Usage instructions

Web Integration

Must cite specific web source URL
Must demonstrate 1-3 specific techniques from source
Must show how web learning improved the tool
Should build on techniques from previous iterations
Must document what was learned

Iteration Examples

Example 1: Session Timeline Viewer (Foundation)

Web Source: MDN Canvas Tutorial Techniques Applied:

Canvas API for rendering timeline
RequestAnimationFrame for smooth scrolling
Mouse event handling for interaction Features:
Horizontal timeline of session messages
Color-coded by message role
Hover for message preview
Click to expand full message

Example 7: Conversation Graph Visualizer (Intermediate)

Web Source: D3.js Force-Directed Graph Tutorial Techniques Applied:

D3 force simulation for node layout
Drag interactions for node repositioning
SVG path generation for message links Features:
Interactive node-link diagram
Parent-child message relationships
Tool usage indicators on nodes
Zoom and pan controls

Example 15: Shared Context Manager (Advanced)

Web Source: IndexedDB API Guide Techniques Applied:

IndexedDB for cross-session storage
Broadcast Channel for tab sync
Structured cloning for data transfer Features:
Central knowledge base across instances
Real-time updates when data changes
Query interface for context retrieval
Export/import for sharing

Example 23: Smart Context Recommender (Expert)

Web Source: TensorFlow.js Text Classification Techniques Applied:

Universal Sentence Encoder for embeddings
Cosine similarity for relevance scoring
K-nearest neighbors for recommendations Features:
Semantic search across all sessions
Context similarity scoring
Automatic related-session suggestions
Learning from usage patterns

Ultra-Thinking Directive

Before each tool creation, deeply consider:

Problem Space:

What specific pain point does this solve for Claude Code users?
How do developers currently handle this need manually?
What would make this tool indispensable?
How does this fit into the broader developer workflow?

Web Learning Integration:

What web techniques would most benefit this tool?
How can the assigned URL's teachings be applied creatively?
What patterns from the web source are most valuable?
How can we adapt web examples to our specific use case?

Technical Approach:

What's the most efficient data structure for this tool?
How do we handle large datasets without performance issues?
What browser APIs provide the best capabilities?
How do we ensure offline functionality?

User Experience:

How can we make complex data immediately understandable?
What visualizations best convey the information?
How do we balance power-user features with simplicity?
What keyboard shortcuts would power users want?

Progressive Enhancement:

How does this build on previous tool iterations?
What techniques from earlier tools can be reused?
How does this enable future tool possibilities?
What knowledge does this add to our toolkit?

Generate tools that are:

Immediately Useful: Solve real problems developers face today
Progressively Enhanced: Each iteration more sophisticated than the last
Web-Informed: Demonstrably improved by web research
Self-Contained: Work perfectly as standalone HTML files
Developer-Friendly: Built by developers, for developers
Future-Ready: Enable coordination and advanced workflows

16 KiB Raw Blame History

Claude Code Developer Tools - Progressive Specification

Core Challenge

Output Requirements

Tool Categories & Progressive Evolution

Foundation Tools (Iterations 1-5): Data Access & Visualization

Intermediate Tools (Iterations 6-12): Advanced Search & Analytics

Advanced Tools (Iterations 13-20): Coordination & Communication

Expert Tools (Iterations 21+): AI-Enhanced & Predictive Systems

Design Principles

Developer-First Design

Self-Contained Architecture

Data Integration Strategies

Observability Features

Search Capabilities

Coordination Mechanisms

Progressive Web Learning Integration

Foundation Level (Iterations 1-5)

Intermediate Level (Iterations 6-12)

Advanced Level (Iterations 13-20)

Expert Level (Iterations 21+)

Quality Standards

Functionality

Usability

Code Quality

Documentation

Web Integration

Iteration Examples

Example 1: Session Timeline Viewer (Foundation)

Example 7: Conversation Graph Visualizer (Intermediate)

Example 15: Shared Context Manager (Advanced)

Example 23: Smart Context Recommender (Expert)

Ultra-Thinking Directive

16 KiB

Raw Blame History