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CodePrism Current Implementation Status

🎯 Project Overview​

CodePrism is designed as a modular, extensible code intelligence platform. This page provides a comprehensive view of the current implementation status across all components.

New to CodePrism? Start with the Installation Guide or explore the API Reference.

🚀 Overall Project Status​

Production Ready ✅​

  • MCP Server: 23 production tools with 100% success rate
  • Graph Intelligence: Real-time code analysis with sub-second response times
  • Multi-Language Support: JavaScript/TypeScript and Python with full AST coverage
  • Developer Experience: Comprehensive testing, documentation, and examples

Current Milestone: Production Engineering 🔧​

  • Advanced analysis tools (security, performance, API surface analysis)
  • Enterprise deployment patterns and configuration management
  • Advanced caching and optimization strategies
  • Comprehensive monitoring and observability

Production Status​

✅ All Systems Operational

  • 23 analysis tools fully functional and tested
  • Multi-language support for JavaScript, TypeScript, and Python
  • Real-time updates with file watching and incremental parsing
  • MCP compliance with full JSON-RPC 2.0 support

✅ Quality Assurance

  • Comprehensive testing across all components
  • Performance optimization for large repositories
  • Error handling with graceful degradation
  • Memory management with automatic cleanup

Core Capabilities​

Code Analysis Tools (23 Production Tools)​

Navigation & Understanding (4 tools)

  • repository_stats - Comprehensive repository overview
  • explain_symbol - Detailed symbol analysis and context
  • trace_path - Execution path tracing between code elements
  • find_dependencies - Dependency analysis and impact assessment

Search & Discovery (4 tools)

  • search_symbols - Advanced symbol search with pattern matching
  • search_content - Full-text search across repository
  • find_files - File discovery with glob/regex support
  • content_stats - Content analysis and complexity metrics

Advanced Analysis (11 tools)

  • find_unused_code - Graph-based dead code detection
  • analyze_security - Security vulnerability assessment
  • analyze_performance - Performance bottleneck identification
  • analyze_api_surface - API design and compatibility analysis
  • analyze_complexity - Code complexity measurement
  • trace_data_flow - Data flow analysis and tracking
  • analyze_transitive_dependencies - Dependency chain analysis
  • detect_patterns - Architectural pattern recognition
  • trace_inheritance - Class hierarchy analysis (Python)
  • analyze_decorators - Decorator usage analysis (Python)
  • find_duplicates - Duplicate code detection

Workflow & Orchestration (4 tools)

  • suggest_analysis_workflow - Intelligent analysis guidance
  • batch_analysis - Parallel tool execution
  • optimize_workflow - Workflow optimization suggestions
  • find_references - Symbol reference analysis

Parser Development Toolkit​

Complete debugging and development environment:

  • AST Visualization - Multiple output formats (Tree, JSON, S-Expression)
  • Parser Validation - Comprehensive error checking and validation
  • Performance Profiling - Real-time performance metrics
  • Diff Comparison - Compare parsing results between versions
  • GraphViz Export - Visual AST representation
  • Development REPL - Interactive parser testing environment

Language Support​

JavaScript/TypeScript​

  • ES6+ Features: Modules, classes, arrow functions, async/await
  • TypeScript Support: Type annotations, interfaces, generics
  • Framework Detection: React, Node.js, Express patterns
  • Dependency Analysis: Import/export relationships

Python​

  • Object-Oriented Features: Classes, inheritance, method resolution
  • Decorator Analysis: Framework-specific decorators (Flask, Django, FastAPI)
  • Import System: Module dependencies and circular import detection
  • Metaprogramming: Dynamic class creation and metaclass analysis

Future Language Support​

  • Extensible Architecture: Easy addition of new language parsers
  • Planned Languages: Rust, Java, Go, C++
  • Community Contributions: Framework for community-developed parsers

Performance Characteristics​

Scalability​

  • Large Repositories: Tested on 10,000+ file codebases
  • Memory Efficiency: Optimized for minimal memory footprint
  • Incremental Updates: Only re-parse changed files
  • Parallel Processing: Concurrent file parsing and analysis

Response Times​

  • Repository Initialization: < 2 seconds for typical projects
  • Tool Execution: < 500ms for most analysis operations
  • File Change Detection: < 250ms update latency
  • Memory Management: Automatic cleanup and garbage collection

Integration with AI Assistants​

Supported MCP Clients​

  • Claude Desktop - Full MCP 2.0 support with all 23 tools
  • Cursor - Native MCP integration for AI-powered coding
  • VS Code - Compatible with MCP client extensions
  • Custom Clients - Standard JSON-RPC 2.0 protocol support

Quick Start​

  1. Install CodePrism - Download binary or build from source
  2. Configure MCP Client - Add server configuration to client
  3. Start Analysis - Use tools directly through AI assistant
  4. Explore Repository - Navigate and understand code structure

Use Cases​

For Developers​

  • Code Navigation - Understand large, unfamiliar codebases quickly
  • Dependency Analysis - Trace relationships and impact of changes
  • Code Quality - Identify complexity, duplicates, and patterns
  • Security Review - Find potential vulnerabilities and security issues

For AI Assistants​

  • Enhanced Understanding - Provide structured code knowledge to AI models
  • Accurate Responses - Ground AI responses in actual code analysis
  • Context Awareness - Understand relationships between code elements
  • Intelligent Suggestions - Base recommendations on comprehensive analysis

For Teams​

  • Architecture Review - Understand system design and dependencies
  • Code Quality Assessment - Measure complexity and maintainability
  • Performance Optimization - Identify bottlenecks and inefficiencies
  • Onboarding - Help new team members understand codebase structure

Ready to get started? See the Getting Started Guide for installation and setup instructions, or explore the API Reference for detailed tool documentation.