From Spaghetti to Structure: Decoding Complex Codebases with Graphs and GenAI

Modern enterprise applications are often large, complex, and poorly documented, making it difficult for teams to understand architecture, identify business rules, and plan modernization efforts. In this session, the speaker will demonstrate how Decipher, a GenAI-powered static code analysis solution, leverages Neo4j to map application code into a structured graph. This graph-based approach enables a deep understanding of interconnectivity, business logic, and system behavior.

You will learn how graph technology can transform static code analysis by uncovering hidden relationships, surfacing business processes, and automating documentation at scale. The session will cover key concepts including code-to-graph transformation, graph querying with Cypher, and how Decipher integrates GenAI to produce meaningful insights for developers, analysts, and architects.

Speaker: Arun Pillai

Resources:
Get Started with Aura – https://bit.ly/3LOLrjh
Deployment Center – https://bit.ly/4jOelM3
Ground AI Systems and Agents with Neo4j – https://bit.ly/4oVsnyb

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