# Design Optimization Roadmap
## Current Implementation Status (v0.2.1)
### ✅ Completed Features
#### **Smart File Type Classification System**
- **FileTypeClassifier**: Comprehensive file type classification with 4 categories
- **Smart filtering**: Always search, conditional search, skip by default, never search
- **Size-based limits**: Different limits per file type (100MB text, 10MB PDFs, etc.)
- **MIME type detection**: Enhanced binary detection with UTF-16/BOM support
#### **Performance Optimizations**
- **Early filtering**: Files filtered before processing, not after
- **Memory mapping**: Adaptive thresholds based on available memory
- **Parallel processing**: Multi-threaded file search with configurable thread count
- **Streaming search**: Memory-efficient processing of large files
#### **Safety and Security**
- **Safety policies**: Default, conservative, performance modes
- **Binary detection**: UTF-16, UTF-8 BOM, and null byte heuristics
- **File size limits**: Configurable per safety policy
- **Extension filtering**: Comprehensive blacklist/whitelist system
#### **CLI Enhancements**
- **File type control**: `--file-types`, `--include-extensions`, `--exclude-extensions`
- **Safety policies**: `--safety-policy` with conservative/performance modes
- **Thread control**: `--threads` for parallel processing
- **Simulation mode**: `rfgrep simulate` for performance testing
## Forward-Looking Feature Roadmap
### Phase 1: Core Stability (Next 2-4 weeks)
#### **Bug Fixes and Polish**
- [ ] **UTF-16 content search**: Add proper UTF-16 decoding for search
- [ ] **Memory leak fixes**: Ensure proper cleanup of memory-mapped files
- [ ] **Error handling**: Improve error messages and recovery
- [ ] **Test coverage**: Add comprehensive integration tests
#### **Performance Improvements**
- [ ] **SIMD optimizations**: Use SIMD for pattern matching in large files
- [ ] **Cache optimization**: Implement file content caching for repeated searches
- [ ] **Async I/O**: Full async/await implementation for better concurrency
- [ ] **Memory pooling**: Reuse buffers to reduce allocations
### Phase 2: Advanced Features (1-2 months)
#### **Enhanced Search Capabilities**
- [ ] **Fuzzy search**: Levenshtein distance-based approximate matching
- [ ] **Semantic search**: Basic keyword extraction and semantic matching
- [ ] **Multi-pattern search**: Search for multiple patterns simultaneously
- [ ] **Context-aware search**: Better context line handling and display
#### **File Type Support**
- [ ] **PDF content extraction**: Search inside PDF text content
- [ ] **Archive support**: Search inside ZIP, TAR, 7Z archives
- [ ] **Database files**: Basic SQLite and CSV search
- [ ] **Image metadata**: EXIF and IPTC metadata search
#### **User Experience**
- [ ] **Interactive TUI**: Full-featured terminal UI with real-time search
- [ ] **Progress indicators**: Better progress reporting for long operations
- [ ] **Configuration files**: YAML/TOML config file support
- [ ] **Plugin system**: Extensible plugin architecture
### Phase 3: Enterprise Features (2-3 months)
#### **Security and Compliance**
- [ ] **Content filtering**: Safe search with content policy enforcement
- [ ] **Audit logging**: Comprehensive search audit trails
- [ ] **Encryption support**: Search encrypted files with key management
- [ ] **Compliance modes**: GDPR, HIPAA, SOX compliance features
#### **Scalability**
- [ ] **Distributed search**: Multi-machine search coordination
- [ ] **Indexing**: Persistent search index for large codebases
- [ ] **Incremental updates**: Delta indexing for changed files
- [ ] **Cloud integration**: AWS S3, Azure Blob, GCS support
#### **Advanced Analytics**
- [ ] **Search analytics**: Usage patterns and performance metrics
- [ ] **Code insights**: Function call graphs, dependency analysis
- [ ] **Trend analysis**: Search pattern changes over time
- [ ] **Custom reports**: Configurable reporting and dashboards
### Phase 4: AI Integration (3-6 months)
#### **AI-Powered Search**
- [ ] **Natural language queries**: "Find functions that handle authentication"
- [ ] **Code understanding**: Semantic code search and analysis
- [ ] **Pattern recognition**: Automatic detection of code patterns
- [ ] **Smart suggestions**: AI-powered search suggestions and completions
#### **Multimodal Search**
- [ ] **Image search**: OCR and image content analysis
- [ ] **Audio search**: Speech-to-text and audio content search
- [ ] **Video search**: Video content analysis and search
- [ ] **Document understanding**: Advanced document parsing and search
## Technical Architecture Evolution
### Current Architecture
```
CLI → App → FileTypeClassifier → StreamingSearchPipeline → SearchAlgorithms
```
### Target Architecture (Phase 2)
```
CLI → App → ConfigManager → FileTypeClassifier → SearchEngine
↓
PluginManager → SearchPlugins
↓
StreamingPipeline → SearchAlgorithms
↓
OutputFormatters → Results
```
### Future Architecture (Phase 4)
```
CLI → App → ConfigManager → FileTypeClassifier → SearchEngine
↓
PluginManager → SearchPlugins
↓
AIEngine → SemanticSearch
↓
StreamingPipeline → SearchAlgorithms
↓
OutputFormatters → Results
```
## Performance Targets
### Current Performance
- **Small files (< 1MB)**: ~1ms per file
- **Medium files (1-10MB)**: ~10ms per file
- **Large files (10-100MB)**: ~100ms per file
- **Memory usage**: ~50MB base + 10MB per 1000 files
### Target Performance (Phase 2)
- **Small files**: ~0.5ms per file (2x improvement)
- **Medium files**: ~5ms per file (2x improvement)
- **Large files**: ~50ms per file (2x improvement)
- **Memory usage**: ~30MB base + 5MB per 1000 files (2x improvement)
### Ultimate Performance (Phase 4)
- **Small files**: ~0.1ms per file (10x improvement)
- **Medium files**: ~1ms per file (10x improvement)
- **Large files**: ~10ms per file (10x improvement)
- **Memory usage**: ~20MB base + 2MB per 1000 files (5x improvement)
## Implementation Priorities
### High Priority (Immediate)
1. **UTF-16 content search** - Critical for Windows compatibility
2. **Memory leak fixes** - Essential for stability
3. **Test coverage** - Required for reliability
4. **Error handling** - User experience improvement
### Medium Priority (Next Month)
1. **SIMD optimizations** - Performance improvement
2. **PDF content extraction** - Feature completeness
3. **Interactive TUI** - User experience
4. **Configuration files** - Usability
### Low Priority (Future)
1. **AI integration** - Advanced features
2. **Distributed search** - Enterprise features
3. **Multimodal search** - Cutting-edge capabilities
4. **Cloud integration** - Scalability
## Success Metrics
### Technical Metrics
- **Search speed**: < 1ms per file for small files
- **Memory efficiency**: < 50MB for 10,000 files
- **Accuracy**: > 99% correct file type classification
- **Reliability**: < 0.1% error rate
### User Experience Metrics
- **Ease of use**: < 30 seconds to first successful search
- **Feature discovery**: > 80% of users find advanced features
- **Performance satisfaction**: > 90% users rate performance as "good" or "excellent"
- **Error recovery**: < 5% of searches require user intervention
### Business Metrics
- **Adoption**: > 10,000 downloads per month
- **Community**: > 100 contributors
- **Enterprise adoption**: > 50 enterprise users
- **Plugin ecosystem**: > 20 community plugins
## Conclusion
The current implementation provides a solid foundation with smart file type classification, performance optimizations, and safety features. The roadmap focuses on incremental improvements while maintaining backward compatibility and user experience.
The key to success will be balancing new features with performance and stability, ensuring that each phase delivers tangible value to users while building toward the long-term vision of AI-powered, multimodal search capabilities.