Github CopilotVSHumansintheloop: 哪个更好?

功能、价格和性能的详细对比

G

Github Copilot

4.7
subscription
访问 Github Copilot
H

Humansintheloop

4.2
free
访问 Humansintheloop
评测总结

暂无测评结论

"Humans in the Loop provides a valuable platform for developers interested in AI-assisted coding. The community fosters knowledge sharing and collaboration, but its value depends on active participation."

易用性
性能表现
性价比
亮点

亮点

  • 暂无核心亮点记录

局限

  • 暂无明显局限性记录

亮点

  • Users often mention the community is a great place to discover new AI tools and techniques for coding.
  • Common feedback is that the discussions are insightful and help developers stay up-to-date with the latest trends in AI-assisted development.
  • Users appreciate the opportunity to connect with other developers and share their experiences with AI coding tools.
  • The community is praised for its focus on practical applications of AI in software development, rather than just theoretical discussions.

局限

  • Users often mention that the community's value depends on active participation and contribution.
  • Common feedback is that the signal-to-noise ratio can be low at times, with some discussions being less relevant or insightful.
  • Some users have noted that the community is still relatively small, which limits the diversity of perspectives and experiences.
  • Users have mentioned that the community could benefit from more structured content and resources, such as tutorials and case studies.
价格方案

Standard pricing model: subscription

Standard pricing model: free

核心功能
  • AI 驱动的代码补全: 自动补全风格的代码建议,根据您的上下文预测整行代码或函数,帮助您更快地编码。
  • 多语言支持: 与多种编程语言无缝协作,包括 Python、JavaScript、TypeScript、Ruby、Go、C++ 等。
  • 广泛的 IDE 集成: 直接集成到流行的开发环境中,如 VS Code、Visual Studio、JetBrains IDEs、Neovim 和 Azure Data Studio。
  • 自然语言转代码: 将描述您意图的注释转化为可执行代码,让您只需描述想做的事情即可生成逻辑。
  • AI 代码审查讨论: 参与关于使用 AI 进行代码审查的讨论,分享最佳实践和创新技术,以提高代码质量和效率。
  • 代理编码辅助: 探索 IDE 原生代理编码辅助工具(如 Cursor AI)的功能,了解它们如何自动化任务并提高生产力。
  • 模型上下文协议 (MCP) 实施: 讨论 MCP 服务器的实施和桥接,了解它们如何促进模型和应用程序之间的无缝通信。
  • 代理行为标准: 为代理行为的 Markdown 标准的开发做出贡献,确保不同 AI 代理之间的一致性和互操作性。
  • 关于新兴 AI 工具的实时讨论: 参与关于最新 AI 工具和技术(如“Claude Code”)的实时讨论,在快速发展的 AI 领域保持领先地位。
  • 社区协作: 与其他成员协作开发项目,分享代码片段,并互相学习经验,从而营造一个支持性和协作性的环境。