Boro – Linux patch review and testing CLI with a multi-stage agentic workflow (github.com)

Boro, an AI-assisted command-line interface for Linux kernel development, aims to streamline the review and testing of patches before they are publicly posted. This tool facilitates an interactive local review process that is especially useful for backporting, kernel maintenance, and security fixes, focusing primarily on developers working within their own git trees. Boro draws inspiration from Sashiko, another tool designed for later-stage reviews, enabling a unique workflow that integrates AI-driven prompts and models to enhance the patch lifecycle. The significance of Boro for the AI/ML community lies in its multi-stage operation that separates bulk work from strong validation processes, utilizing AI models for efficient reviews, builds, and tests. Developers can run comprehensive reviews, check builds, and even execute targeted kernel tests, all while receiving AI-generated insights and triaging log outputs. Notably, Boro allows for conflict resolution during cherry-picking and features a cost-effective model structure where users can mix local and remote models based on the stage of the review. This innovation not only improves patch validation efficiency but also empowers developers to address complex issues with cutting-edge AI capabilities, ultimately contributing to better kernel security and functionality.