TL;DR A code knowledge graph transforms a codebase from a collection of text files into a structured, queryable model of how the system actually works. The architecture involves five phases: AST parsing, relationship extraction, graph storage, incremental updates, and agent delivery via MCP. Open-source tools like GitNexus, Potpie AI, and CodeGraph have proven the approach works for individual developers. CoreStory's Code Intelligence Model applies the same architecture at enterprise scale — multiple languages, millions of lines of code, and validated business rule extraction. Why a Knowledge Graph Is the Right Model for Code Source code is inherently relational. A function calls other functions. A class inherits from a parent. A service depends on other services. A business rule spans multiple files across several modules. These relationships are the architecture, and they're invisible to tools that treat code as text.…