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CODE MNKY Changelog

This document tracks all significant changes, improvements, and fixes to the CODE MNKY agent. The changelog is organized by version, with the most recent versions listed first.

Version 1.3.0 (2024-01-10)

New Features

  • Architectural Visualization: Added capability to generate system architecture diagrams from codebase analysis
  • Refactoring Suggestions: Intelligent code refactoring recommendations with automatic PR generation
  • Code Migration Assistance: Support for framework and library migration planning and execution
  • Natural Language Requirements Translation: Conversion of natural language requirements to technical specifications

Improvements

  • Enhanced TypeScript type inference with 42% improved accuracy
  • Extended code analysis to include performance optimization suggestions
  • Improved documentation generation with more comprehensive examples
  • Added support for 7 additional frameworks including Vue 3 and SvelteKit

Fixes

  • Resolved issue with monorepo structure detection in complex projects
  • Fixed inconsistent code styling recommendations across different file types
  • Addressed memory usage optimization in large codebase analysis
  • Corrected edge cases in dependency graph generation

Version 1.2.0 (2023-09-25)

New Features

  • IDE Integration: Direct integration with VS Code and WebStorm through extensions
  • CI/CD Pipeline Generation: Automated creation of GitHub Actions and GitLab CI configurations
  • Testing Strategy Advisor: Test coverage analysis and testing approach recommendations
  • Component Library Documentation: Automatic documentation for component libraries with interactive examples

Improvements

  • Expanded language support to include Python, Go, and Ruby
  • Enhanced code security analysis with OWASP Top 10 vulnerability detection
  • Improved code review comments with more specific actionable recommendations
  • Added historical project context awareness for more relevant suggestions

Fixes

  • Resolved race conditions in concurrent file analysis
  • Fixed incorrect recommendations for circular dependency resolution
  • Addressed performance issues when analyzing large repositories
  • Corrected errors in generated TypeScript interfaces for complex data structures

Version 1.1.0 (2023-06-12)

New Features

  • Dependency Analysis: Deep analysis of project dependencies with update recommendations
  • Code Quality Metrics: Integration with SonarQube and other code quality tools
  • API Documentation Generator: Automatic OpenAPI specification generation from code
  • Performance Profiling: Code performance analysis with bottleneck identification

Improvements

  • Added support for React Native and Next.js applications
  • Enhanced documentation generation with better code examples
  • Improved code review comments with links to best practices
  • Expanded accessibility compliance recommendations

Fixes

  • Resolved issues with package.json versioning recommendations
  • Fixed incorrect type inference in complex TypeScript projects
  • Addressed inconsistencies in coding style recommendations
  • Corrected errors in generated documentation for complex components

Version 1.0.0 (2023-03-15)

Initial Release

  • Code Analysis: Basic static code analysis for JavaScript and TypeScript
  • Documentation Generation: Automatic generation of documentation from code comments
  • Best Practice Recommendations: Suggestions for code improvements based on industry standards
  • Code Review Assistance: Automated code review comments and suggestions
  • Project Structure Optimization: Recommendations for organizing code and project files
  • Type Inference: Automatic TypeScript type generation and validation

Known Limitations

  • Limited support for languages other than JavaScript and TypeScript
  • Basic performance optimization recommendations
  • No integration with IDE or development environments
  • Limited understanding of complex architectural patterns
  • Restricted analysis of monorepo projects

Future Roadmap

Planned for v1.4.0 (Q2 2024)

  • Advanced AI-assisted debugging capabilities
  • Expanded multi-language support including Rust and Kotlin
  • Deeper integration with cloud services for deployment optimization
  • Enhanced collaboration features for team development

Under Consideration for Future Releases

  • Real-time pair programming assistance
  • Behavioral analysis of application performance in production
  • Cross-repository knowledge application
  • Dynamic testing environment generation and management