From Observability to Understanding: Building an Agent‑Native Code Knowledge Graph with UModel
The article analyzes current AI code agents such as Claude Code and Cursor, highlights their three major limitations—guessing relationships, staying within the code domain, and lacking a temporal dimension—and proposes UModel’s deterministic AST extraction and cross‑domain linking to create a native code knowledge graph that lets agents move from merely finding code to truly understanding its structure.
