I Ran This Open-Source AI Tool on a Messy Codebase and Got 71x Fewer Tokens — Here Is Exactly What Happened

Last Updated on May 4, 2026 by Editorial Team Author(s): Muhammad Hassan Ali Originally published on Towards AI. I Ran This Open-Source AI Tool on a Messy Codebase and Got 71x Fewer Tokens — Here Is Exactly What Happened I have spent months watching developers copy-paste entire files into Claude, burn through context windows, and still get vague answers. Screenshot of Graphify Github Repo by AuthorThe article discusses the capabilities and benefits of Graphify, an open-source AI coding assistant that transforms files into a queryable knowledge graph. It highlights how Graphify significantly reduces token usage during queries compared to traditional methods and explains its three-pass extraction process, which optimizes the handling of various file types, including code and documents. The author emphasizes the ease of installation and the privacy-focused design of the tool, making it suitable for developers looking to enhance their coding workflows. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI