RepoNav: From Snippet Retrieval to File-Centered Repository Navigation for Code Agents

Researchers have introduced RepoNav, a system designed to improve how AI agents navigate large codebases by focusing on file structures rather than isolated code snippets. By moving away from flat search results, this method helps agents better understand the relationships between different parts of a repository, potentially increasing the accuracy of automated coding tasks.