NODES 2025 - From Spaghetti to Structure: Decoding Complex Codebases with Graphs and GenAI

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9 learners

What you'll learn

This course includes

51.3 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

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 #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph