- ✅ Project Analysis - Understand current codebase structure
- ✅ Architecture Documentation - Create comprehensive architecture guide
- 🔄 LLM API Integration
- Add HTTP client dependencies (reqwest, tokio)
- Create LLM client abstraction
- Implement OpenAI provider
- Implement Anthropic provider
- Add local model support (Ollama integration)
- Create prompt template system
- 🔄 Configuration System
- Add TOML configuration support
- Environment variable handling
- API key management
- User preference storage
- 📋 Command Safety Layer
- Dangerous command detection
- Confirmation prompts for destructive operations
- Dry-run mode implementation
- Command validation framework
- 📋 Natural Language Processing
- Intent detection system
- Command translation layer
- Context-aware prompt building
- Response parsing and validation
- 🔄 Global Installation
- Cargo install optimization
- Cross-compilation setup
- Binary distribution pipeline
- Package manager integration (Homebrew, Chocolatey)
- 🔄 Interactive Mode Improvements
- LLM-powered command suggestions
- Smart auto-completion
- Command explanation mode
- Usage analytics and learning
- 📋 IDE Integration
- VS Code extension
- Terminal integration scripts
- Shell completion scripts (bash, zsh, fish)
- 📋 Error Handling & UX
- Better error messages
- Recovery suggestions
- Progress indicators for LLM calls
- Offline mode fallbacks
- 🔄 Performance Optimization
- Response caching system
- Async command execution
- Request batching
- Memory usage optimization
- 🔄 Security Enhancements
- Secure API key storage
- Command sandboxing
- Permission system
- Audit logging
- 📋 Plugin System
- Plugin architecture design
- Custom command modules
- Third-party integrations
- Plugin marketplace concept
- 📋 Advanced Command Features
- Command chaining improvements
- Complex pipeline support
- Variable substitution
- Conditional execution
- 📋 Enterprise Features
- Team configuration sharing
- Custom model endpoints
- Usage monitoring
- Compliance logging
- 📋 Documentation & Community
- Comprehensive user guide
- API documentation
- Tutorial videos
- Community templates
- 🔄 Code Quality
- Remove unused imports and dead code
- Add comprehensive tests
- Performance benchmarking
- Memory leak detection
- 🔄 Documentation
- Code documentation (rustdoc)
- API reference
- Contributing guidelines
- Changelog maintenance
- 📋 Cross-Platform Compatibility
- Test Windows PowerShell edge cases
- Verify macOS compatibility
- Handle special characters in paths
- Unicode support validation
- 📋 Command Parsing
- Improve argument parsing
- Handle quoted arguments better
- Space handling in file paths
- Special character escaping
[dependencies]
# Existing
clap = { version = "4.4", features = ["derive"] }
rustyline = "11.0.0"
rustyline-derive = "0.8.0"
dirs-next = "2.0.0"
# New for LLM integration
reqwest = { version = "0.11", features = ["json"] }
tokio = { version = "1.0", features = ["full"] }
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
toml = "0.8"
# Configuration and caching
config = "0.13"
lru = "0.12"
# Error handling
anyhow = "1.0"
thiserror = "1.0"
# Async runtime
tokio-stream = "0.1"
# Optional: Local AI model support
# ollama-rs = "0.1" # Add when available[dev-dependencies]
tokio-test = "0.4"
wiremock = "0.5"
tempfile = "3.0"
assert_cmd = "2.0"
predicates = "3.0"- Unit Tests
- LLM client functionality
- Command parsing logic
- Configuration management
- Safety validation
- Integration Tests
- End-to-end command execution
- Cross-platform behavior
- API integration tests
- Error handling scenarios
- Performance Tests
- Command execution speed
- Memory usage profiling
- LLM response times
- Cache effectiveness
- v0.2.0 - LLM Integration MVP
- v0.3.0 - Global Installation & UX Improvements
- v0.4.0 - Advanced Features & Performance
- v1.0.0 - Production Ready Release
- All tests passing
- Documentation updated
- Performance benchmarks acceptable
- Security review completed
- Cross-platform testing
- Breaking changes documented
- Migration guide (if needed)
- Command execution success rate
- LLM API response times
- User satisfaction (through feedback)
- Error frequency and types
- Performance benchmarks
- Security incidents
- ✅ Completed
- 🔄 In Progress
- 📋 Planned
- 🚀 High Priority Phase
- 🎯 Medium Priority Phase
- 🔮 Future Enhancement
- 🏢 Enterprise/Long-term
- 🔧 Maintenance
- 🐛 Bug Fix
- 📦 Infrastructure
- 🧪 Testing
- 📈 Release
- 📊 Monitoring