AI-Codereview-Gitlab vs QwenLM/qwen-code

Side-by-side comparison of two AI agent tools

Short answer

  • QwenLM/qwen-code is growing faster: +465 GitHub stars in the last 30 days vs +47 for AI-Codereview-Gitlab.
  • Pick AI-Codereview-Gitlab for: 基于大模型(DeepSeek,OpenAI等)的 GitLab 自动代码审查工具；支持钉钉/企业微信/飞书推送消息和生成日报；支持Docker部署；可视化 Dashboard。. Pick QwenLM/qwen-code for: an open-source AI coding agent that lives in your terminal.

From GitHub data refreshed daily.

基于大模型(DeepSeek,OpenAI等)的 GitLab 自动代码审查工具；支持钉钉/企业微信/飞书推送消息和生成日报；支持Docker部署；可视化 Dashboard。

Q
QwenLM/qwen-codeopen-source

An open-source AI coding agent that lives in your terminal.

Metrics

AI-Codereview-GitlabQwenLM/qwen-code
Stars1.9k28.3k
Star velocity /mo46.82539682539683465
Commits (90d)33.5k
Releases (6m)210
Overall score0.46477016634505180.8642094222460844

Pros

  • +支持多种主流大语言模型，包括 DeepSeek、OpenAI、Anthropic 等，提供灵活的模型选择和成本控制
  • +完整的企业级集成方案，支持钉钉、企业微信、飞书消息推送和可视化 Dashboard，便于团队协作
  • +提供 Docker 容器化部署和多种审查风格（专业、讽刺、绅士、幽默），适应不同团队需求和文化

    Cons

    • -仅支持 GitLab 平台，对使用其他 Git 平台的团队限制较大
    • -依赖第三方大模型 API，存在网络延迟和 API 费用成本
    • -配置相对复杂，需要设置 webhook、access token 和多个环境变量

      Use Cases

      • •中大型开发团队希望自动化代码审查流程，减少人工审查工作量并保持审查质量的一致性
      • •需要与企业通讯工具（钉钉、企业微信、飞书）深度集成的团队，实现审查结果的即时通知和反馈
      • •希望通过数据驱动方式监控代码质量和开发效率，需要可视化统计报表的项目管理团队
        View AI-Codereview-Gitlab DetailsView QwenLM/qwen-code Details

        FAQ

        Which is more popular, AI-Codereview-Gitlab or QwenLM/qwen-code?
        QwenLM/qwen-code has more GitHub stars (28,273 vs 1,857).
        Which is more actively developed, AI-Codereview-Gitlab or QwenLM/qwen-code?
        QwenLM/qwen-code had more commits in the last 90 days (3,463 vs 3).
        Should I use AI-Codereview-Gitlab or QwenLM/qwen-code?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.