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Development Roadmap

This document outlines the planned development trajectory for Penguin AI Assistant.

Current Status

Short-term Roadmap (Next 3 Months)

Implementation Priorities

Phase 1: Core Stability (Current)

  • ✅ Complete state system refactoring
  • ✅ Implement conversation management
  • ✅ Integrate LiteLLM for multi-provider support
  • ✅ Add Anthropic native adapter
  • 🔄 Improve token counting across providers
  • 🔄 Complete documentation
  • 🔄 Expand test coverage

Phase 2: Enhanced Capabilities (Q2 2024)

  • Add OpenAI native adapter
  • Implement advanced session management
  • Develop memory and knowledge systems
  • Create semantic search across sessions
  • Improve real-time collaborative features
  • Add web interface for broader access

Phase 3: Production Readiness (Q3 2024)

  • Optimize performance for large histories
  • Implement enterprise security features
  • Add team collaboration capabilities
  • Develop fine-tuning support for custom behaviors
  • Create CI/CD pipeline for plugin development
  • Build documentation generation tools

Phase 4: Extended Platform (Q4 2024)

  • Create ecosystem for third-party plugins
  • Develop hosted version for non-technical users
  • Implement team knowledge management
  • Add advanced code analysis tools
  • Create cross-project insights
  • Develop integration with project management tools

Focus Areas

Development Experience

Team Collaboration

Success Metrics

  • State Refactoring: 50% code complexity reduction
  • Provider Support: Seamless experience across Anthropic, OpenAI, and local models
  • Token Efficiency: 30% reduction in context window utilization
  • Documentation: 100% API coverage with diagrams
  • UX Improvements: 50% reduction in user input for common tasks
  • Performance: Support 10,000+ session history

Get Involved

We welcome contributions in these areas:

  • Provider adapters for additional LLM services
  • Tool development for specialized domains
  • Testing across different environments and workflows
  • Documentation improvements and examples
  • UX feedback and suggestions

Visit our GitHub repository to contribute or report issues.