Session 33: Universe Code Generation - Domain Templates & Type Fixes

Session Overview

This session focuses on fixing and enhancing the universe code generation system, specifically:

1. Domain Entity Templates - Creating comprehensive entity templates for multiple domains (fitness, ecommerce, healthcare, education, restaurant)
2. Entity Resolution Fallback Chain - Implementing a priority-based entity resolution system
3. Type System Fixes - Resolving TypeScript type mismatches in the module generator
4. Integration Tests - Comprehensive test coverage for the domain entity system

Sub-Sessions

33.1 - Domain Template Implementation

• Created 5 domain templates (fitness, ecommerce, healthcare, education, restaurant)
• Implemented entity synonym mapping for flexible matching
• Added domain detection from keywords

33.2 - Integration Tests & Type Fixes

• Fixed restaurant template key naming (menuItem → menuitem)
• Added healthcare keywords (telehealth, telemedicine, provider)
• Created fallback-chain.spec.ts (21 tests)
• Created multi-module-generation.spec.ts (20 tests)
• Fixed domain-entities.spec.ts (52 tests)
• Total: 93 passing tests

Key Files Modified

Templates

• libs/libs-ai/module-generator/src/lib/templates/domain-entities/fitness.template.ts
• libs/libs-ai/module-generator/src/lib/templates/domain-entities/ecommerce.template.ts
• libs/libs-ai/module-generator/src/lib/templates/domain-entities/healthcare.template.ts
• libs/libs-ai/module-generator/src/lib/templates/domain-entities/education.template.ts
• libs/libs-ai/module-generator/src/lib/templates/domain-entities/restaurant.template.ts
• libs/libs-ai/module-generator/src/lib/templates/domain-entities/index.ts

Tests

• libs/libs-ai/module-generator/src/lib/templates/domain-entities/domain-entities.spec.ts
• libs/libs-ai/module-generator/src/lib/services/fallback-chain.spec.ts
• libs/libs-ai/module-generator/src/lib/services/multi-module-generation.spec.ts

Documentation

• 33.2-domain-entity-system-implementation.md - Complete implementation details, bug fixes, and test coverage

Architecture Decision: Entity Resolution Fallback Chain

The entity resolution follows this priority:

1. AI-extracted entities (highest priority) - From LLM analysis
2. Explicit entities - Provided directly in request
3. Domain-specific templates - From domain entity templates
4. Pattern matching (lowest priority) - Generic fallback

This ensures domain-specific entities are used when available while allowing AI to override with more accurate extractions.

Known Issues

Session Tracking Design Flaw: The MCP currently reads session info from .cursor/mcp-config.json, which doesn't support concurrent sessions. This needs to be refactored to pass session context per-request.