After analyzing the core directory, I've identified significant duplication across modules. Here's the consolidation strategy:
Duplicates:
backend_real.py- Main backend implementationexecutor.py- Command executioncommand_executor.py- Another executornix_real_executor.py- Yet another executornative_nix_api.py- Native API interfacenative_operations.py- Native operationsnative_operations_advanced.py- Advanced native ops
Target: backend.py - Unified backend with all operations
Duplicates:
intent_pipeline.py- Main pipelineintent_pipeline_enhanced.py- Enhanced versionintent_factory.py- Intent creationintent_improvement.py- Intent improvementsintent_secure_wrapper.py- Security wrapperintent_security.py- Security checkssecure_intent_integration.py- More securityllm_intent_recognizer.py- LLM recognition
Target: intent.py - Unified intent system with built-in security
Duplicates:
config.py- Basic configconfig_enhanced_intent.py- Enhanced configconfig_executor.py- Config executionconfig_generator.py- Config generationconfig_generator_ast.py- AST-based generationsimple_config_generator.py- Simple generation
Target:
config.py- Configuration managementconfig_generator.py- Generation logic (unified)
Duplicates:
error_handler.py- Basic handlererror_intelligence.py- Smart errorserror_intelligence_ast.py- AST errorserror_intelligence_unified.py- Unified errorserror_recovery.py- Recovery logicerror_translator.py- Translationeducational_errors.py- Educational messagesfriendly_errors.py- Friendly messagesgraceful_degradation.py- Degradation logic
Target: errors.py - Unified intelligent error system
Duplicates:
package_discovery.py- Basic discoverysmart_package_discovery.py- Smart discoverysearch_cache.py- Search caching
Target: discovery.py - Unified discovery with caching
Duplicates:
responses.py- Basic responsesresponse_adapter.py- Response adaptationresponse_enhancer.py- Response enhancementenhanced_output.py- Output enhancement
Target: response.py - Unified response system
Duplicates:
engine.py- Core engineluminous_core.py- Luminous coresystem_orchestrator.py- Orchestrationunified_system.py- Unified system
Target: engine.py - Single core engine
Move to separate module:
grandma_mode.py→personas/grandma.pymaya_mode.py→personas/maya.pypersonality.py→personas/base.py
Extract to plugins:
sacred_pause.py- Remove (over-abstraction)sacred_utils.py- Remove (over-abstraction)conscious_integration.py- Extract to pluginadaptive_behavior.py- Keep core parts only
These are distinct features:
flake_manager.py- Flake managementhome_manager.py- Home managergeneration_manager.py- Generation managementnixos_doctor.py- System healthprofile_migration.py- Profile migrationprogress_indicator.py- Progress display
- Massive duplication
- Unclear responsibilities
- Hard to navigate
- Multiple implementations of same features
src/luminous_nix/core/
├── __init__.py
├── backend.py # All NixOS operations
├── intent.py # Intent recognition & processing
├── config.py # Configuration management
├── config_generator.py # Config generation
├── errors.py # Unified error handling
├── discovery.py # Package discovery
├── response.py # Response formatting
├── engine.py # Core engine
├── knowledge.py # Knowledge base
├── cache.py # Caching logic
├── flake_manager.py # Flake management
├── home_manager.py # Home manager
├── generation_manager.py # Generations
├── nixos_doctor.py # System health
├── profile_migration.py # Profile migration
├── progress_indicator.py # Progress display
├── first_run_wizard.py # First run experience
└── plugin_system.py # Plugin architecture
- backend.py - Merge all backend/executor files
- intent.py - Merge all intent processing
- errors.py - Merge all error handling
- response.py - Merge all response handling
- Move persona files to
personas/module - Extract consciousness files to plugins
- Keep distinct feature files as-is
- Update all imports across the codebase
- Update tests to use new structure
- Verify no broken dependencies
- Archive old files
- Update documentation
- Run full test suite
- Clarity: Each file has ONE clear purpose
- Maintainability: No more hunting through duplicates
- Performance: Less code to load and parse
- Simplicity: Easy to understand structure
- Elegance: Clean architecture that makes sense
- File count: 75+ → ~20 (73% reduction)
- Lines of code: ~15,000 → ~5,000 (66% reduction)
- Import complexity: Significantly reduced
- Test coverage: Maintained or improved
- Performance: Faster startup and execution
This consolidation maintains all functionality while dramatically simplifying the codebase.