Alibaba's open-code-review is a hybrid LLM agent and rule-based code review tool designed for large-scale, enterprise-grade codebases. It provides precise, line-level comments and has a built-in ruleset for common vulnerabilities and issues. It integrates with both OpenAI and Anthropic models.
A starter prompt for Claude Code, what you'll need, and how to reach them.
You are an expert full-stack developer. Build an MVP of an 'Open Code Review Assistant' as a Next.js 16 App Router application, using React 19, Tailwind v4, and AI SDK v6 with Gemini, backed by Neon Postgres. The core functionality is to review GitHub Pull Request diffs for common code quality and security issues. Implement GitHub OAuth for user authentication and repository access. Set up a webhook listener for PR events (e.g., opened, synchronized). When a PR event is received, fetch the diff, parse it to extract changed lines, and send relevant code snippets with context (e.g., surrounding lines, file type) to the Gemini LLM via AI SDK. Instruct the LLM to act as a code reviewer, identifying issues like Null Pointer Exceptions, potential thread-safety problems, or common vulnerabilities (XSS, SQL injection) and generating precise, line-level comments. Store these comments in Neon Postgres, associated with the PR. The UI should display a list of repositories, their open PRs, and the AI-generated comments for each PR diff. Focus on a minimal, functional UI to demonstrate the review process. Prioritize the backend logic for diff parsing, LLM interaction, and comment generation. The build/verify gate is a working application that can authenticate with GitHub, listen to PR events, send a diff to Gemini, receive comments, store them, and display them in a basic UI.
Reach out to developers and teams using AI coding tools and maintaining many repositories, offering a streamlined, automated code review assistant that complements their existing CI/CD and improves code quality.
Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible. Topics: agent, code-review, code-review-assistant, harness, repository-level-context.
Open a detailed issue on their GitHub repository with your findings and suggestions for improving the open-source project, then consider a pull request if you build a significant feature.
“I've been exploring the `open-code-review` project and built a prototype of a key component (e.g., the diff-to-LLM pipeline for line-level comments) using Next.js/Gemini. I've identified several areas for enhancement, particularly around multi-cloud LLM integration and modular ruleset definition, and would be interested in contributing.”
Open the original ↗