How to Build a Knowledge Graph from Enterprise Source Code

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.