gpt-engineer vs QwenLM/qwen-code

Side-by-side comparison of two AI agent tools

Short answer

  • gpt-engineer has had no commit in 22 months; QwenLM/qwen-code is actively maintained (3,463 commits in the last 90 days).
  • QwenLM/qwen-code is growing faster: +465 GitHub stars in the last 30 days vs +-27 for gpt-engineer.
  • Pick gpt-engineer for: cLI platform to experiment with codegen. Pick QwenLM/qwen-code for: an open-source AI coding agent that lives in your terminal.

From GitHub data refreshed daily.

gpt-engineeropen-source

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

Q
QwenLM/qwen-codeopen-source

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

Metrics

gpt-engineerQwenLM/qwen-code
Stars55.1k28.3k
Star velocity /mo-26.50793650793651465
Commits (90d)03.5k
Releases (6m)010
Overall score0.107881521386788620.8642094222460844

Pros

  • +高社区认可度，55,231个GitHub星标证明其影响力和实用性
  • +支持自然语言编程，降低了代码生成的门槛，适合快速原型设计
  • +既能创建新项目也能改进现有代码，提供了灵活的使用场景

    Cons

    • -需要OpenAI API密钥，产生额外的使用成本
    • -作为实验性平台，稳定性和维护程度不如生产级工具
    • -Python版本要求较新(3.10-3.12)，可能存在兼容性限制

      Use Cases

      • •快速原型开发：通过自然语言描述快速生成MVP或概念验证代码
      • •代码学习和实验：研究AI代码生成能力，理解自然语言到代码的转换过程
      • •现有项目改进：为已有代码库添加新功能或进行重构优化
        View gpt-engineer DetailsView QwenLM/qwen-code Details

        FAQ

        Which is more popular, gpt-engineer or QwenLM/qwen-code?
        gpt-engineer has more GitHub stars (55,064 vs 28,273).
        Which is more actively developed, gpt-engineer or QwenLM/qwen-code?
        QwenLM/qwen-code had more commits in the last 90 days (3,463 vs 0).
        Should I use gpt-engineer 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.