Let me check the current implementation status across the project:
| Ran terminal command: cd /home/sprime01/projects/SEA && find libs -type d -name “domain” -o -name “application” | head -20 |
Searched for text ## What a User Can Actually Do Today (**/docs/monetization/code_archeology.md), no results
Searched for files matching **/docs/specs/**/*.manifest.json, 17 matches
| Ran terminal command: cd /home/sprime01/projects/SEA && find libs -type d -maxdepth 3 | grep -E “(domain | application | adapters | ports)” | wc -l |
| Ran terminal command: cd /home/sprime01/projects/SEA && ls -la libs//domain/src/gen/.py 2>/dev/null | wc -l |
No, this project is not fully implemented. Here’s the honest assessment:
Code Generation Pipeline for semantic-core:
17 Bounded Contexts have manifests, but only 1 (semantic-core) has fully generated code with no TODOs.
What Works Today:
sea CLI)Major Gaps Still Remaining:
This is a sophisticated code generation platform with strong foundations but is not production-ready for all use cases. You can:
✅ Generate working code from specs for semantic-core
✅ Store and query semantic knowledge
✅ Enforce governance policies via OPA
✅ Run infrastructure services
❌ Cannot yet generate complete applications across all 17 bounded contexts ❌ Cannot yet run end-to-end semantic compilation with full traceability ❌ Cannot yet provide IDE integration with LSP hover
Estimate: ~30-40% implemented for core pipeline, ~60% for semantic-core context, ~10-20% for other contexts.