Discover how graph technology can transform developer workflows! AI Engineer Vitali Avagyan will showcase his project, Graph-Code, that uses Memgraph-Powered GraphRAG to build an AI coding assistant, turning natural language queries into powerful graph insights. Learn how graph visualisations simplify code exploration, how this approach challenges traditional CLI tools and why he chose Memgraph for his project. Perfect for anyone interested in AI, dev tools and graph databases.

Vitali is an AI engineer and researcher who has spent the last decade shipping production-grade models across energy, finance, logistics and healthcare. He holds a PhD in computational optimisation and economics from Imperial College London, and is fluent in programming languages ranging from Python to C++. He has built training and inference engines, optimised GPU kernels and graph representations of rule-based systems.

GraphRAG for Devs: How to Build Smarter AI Coding Assistants with Graph-Code