Oscar is a project focused on enhancing open-source software development by utilizing automated help, or “agents,” for maintenance tasks. Unlike other approaches, Oscar does not aim to replace the code-writing process but instead focuses on alleviating the burdensome aspects of maintaining projects, such as processing issues and providing relevant documentation. Using large language models (LLMs), Oscar seeks to streamline interactions between agents and contributors. By indexing project context, utilizing natural language for tool control, and analyzing issue reports, Oscar aims to reduce maintainer effort and enable more people to become productive maintainers. While still an experiment, Oscar has shown promise with successful interactions in the Go issue tracker.
https://go.googlesource.com/oscar/+/refs/heads/master/README.md