🚀 Operation Self Learning – Story Book 676 & 677 Today I continued building the foundation of an ABAP AI Code Review Assistant using SAP BTP Trial, CAP (Cloud Application Programming Model), CDS, SQLite, SAP Business Application Studio, and Fiori Preview. What I built: ✅ SAP BTP Trial Environment ✅ CAP Project (abap-ai-review) ✅ CodeReviewService ✅ Reviews Entity ✅ SQLite Persistence ✅ Fiori Preview Application ✅ ABAP Review Dataset ✅ Suggestion Engine Modeling ✅ Confidence Score Modeling Current Architecture: ABAP Code → Review → Suggestion → Confidence Score → CAP Service → Fiori UI Sample Scenario: ABAP Code: SELECT * FROM mara INTO TABLE lt_mara. Review: SELECT * should be avoided. Select only required fields. Suggestion: SELECT matnr, mtart FROM mara INTO TABLE DATA(lt_mara). Confidence: 95 Tech Stack: SAP BTP | CAP | CDS | SQLite | SAP Business Application Studio | Fiori Preview | Cloud Foundry CLI One key learning: Enterprise AI solutions are built in layers: Data Model ...