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Nova is an AI-powered code review system integrated with GitLab CI and SonarQube, offering full-project context, multi-language support, extensibility for models and search methods, easy Docker deployment, safety filters, and aims to improve review precision and provide customizable audit prompts.
This article analyses the drawbacks of manual code review, explains why they arise, and presents a practical solution that embeds a large‑language‑model‑based AI reviewer into a CI/CD pipeline, detailing configuration steps, script examples, and the resulting efficiency and quality gains.
This article explains the drawbacks of manual code review, demonstrates how AI large‑model services can automate and improve review quality, and provides a step‑by‑step guide—including a Java script and CI pipeline configuration—to embed JD's Chatrhino model into a continuous integration workflow, resulting in higher efficiency, accuracy, and reduced development cycle time.
The article explains how AI code reviews suffer from missing context, and improves them by embedding the codebase, using Retrieval‑Augmented Generation to fetch relevant snippets, and adding a function‑calling tool that lets the model autonomously request additional code, resulting in precise, bug‑detecting feedback.