video1.0<iframe src="https://www.loom.com/embed/9f878ae84ecb4cbb87e3420a49b02431" frameborder="0" width="1660" height="1245" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12451660Loomhttps://www.loom.com12451660https://cdn.loom.com/sessions/thumbnails/9f878ae84ecb4cbb87e3420a49b02431-d24228a902579717.gif269.666This Loom presents ChangeGraph, a hackathon project aimed at making large network configuration code reviews easier to understand. Nikita explains that, at Amazon Robotics, they manage network configuration code review automation for fulfillment centers where millions of changes occur each month, and clear structure and context are critical. He describes how current pull requests are treated like plain text, making it hard to see class and method structure and what was added, deleted, or modified. ChangeGraph parses Python-scoped code and highlights classes and methods to provide a clearer bird’s-eye view and allow drill-down into specific changes.