DeepDiscovery: A Location-Inference Framework for Task-Level Repository Understanding
DeepDiscovery is a two-stage 'Location and Inference' framework designed to help AI understand entire code repositories instead of isolated snippets. The hosts discuss how its metadata-first approach manages token budgets and note that it achieved a 78.6% solve rate on the SWE-bench Verified benchmark without requiring offline preprocessing.