RepoGraph AI uses a FalkorDB graph to rank files for Oppia open-source issues

RepoGraph AI is a tool built for Graph Hacks that takes an issue from Oppia, an open-source learning platform, and ranks the files worth investigating, suggests tests, and shows the graph evidence behind each recommendation. It connects Git history, GitHub issues, and Python code structure in a FalkorDB graph of roughly 25,700 nodes and 39,000 edges, with each link labeled by its source and reliability. The author reports that graph-enhanced search found a relevant file in the top five for 20 of 29 issues, compared with 18 for keyword search, though the gains are modest. The graph alone performed worse than keyword search, and the tool is designed to state when evidence is insufficient rather than give a confident guess. The author frames the project as a test of whether connected historical and structural evidence makes investigation more useful and explainable, not as proof that graphs solve issue localization.