From Observable to Understandable: Building Agent-Native Code Knowledge Graphs with UModel

UModel builds agent-native code knowledge graphs using deterministic AST parsing and cross-domain associations for deeper AI code understanding. Background In recent years, AI agents (Cursor, Copilot, Claude Code, Codex, etc.) have become deeply involved in software development. From code completion to cross-file refactoring, from bug localization to architecture design, agent capabilities are growing stronger. From Prompt Engineering to Context Engineering to Harness Engineering, the ways to ha