Ndlovu Code Reviewer
Automates and enhances code review by combining static analysis with AI-powered, human-friendly feedback for uncommitted changes.
This project offers an AI-powered code review assistant designed to address the time-consuming nature and limitations of manual code reviews. By leveraging Model Context Protocol (MCP) tooling, it provides AI assistants with access to a specialized reviewer that automates the busywork of gathering diffs and lint results from local, uncommitted changes. It streams this contextual information to models like Gemini CLI, enabling them to focus on delivering actionable insights. The tool returns structured JSON reviews, seamlessly integrating with MCP-compatible clients to streamline development workflows and improve code quality.
