展示HN：深度代码研究 – AI 调查10个相似的代码库来审查您的代码库
Deep Code Research 是一个命令行工具，它可以自动找到与您的代码库相似的仓库，分析它们处理问题的不同方式，并生成比较报告。
与其提供诸如“添加错误处理”等泛泛的建议，它会准确展示相关项目的做法以及您的代码与之的不同之处。每个发现都包括来自您自己的代码库和参考代码库的并排代码片段，并附有具体的文件路径和行号。
该工具采用多代理架构：主代理通过 GitHub 搜索发现相关仓库，然后派生出并行的子代理来分析每一个仓库。结果会被综合成一个优先级排序的发现列表。
我开发这个工具是因为代码“文献综述”非常耗时。在构建某个项目之前，您应该调查类似项目以学习模式并避免已知的陷阱。但阅读超过 10 个仓库需要数小时。这一工具自动化了这个过程。
<a href="https://github.com/WindChimeRan/deep_code_research" rel="nofollow">https://github.com/WindChimeRan/deep_code_research</a>
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Deep Code Research is a CLI tool that automatically finds repositories similar to yours, analyzes how they handle things differently, and produces a comparative report.<p>Instead of generic advice like "add error handling," it shows you exactly what related projects do and where your code differs. Each finding includes side-by-side code snippets from both your repo and the reference repo, with specific file paths and line numbers.<p>The tool uses a multi-agent architecture: a main agent discovers related repos via GitHub search, then spawns parallel sub-agents to analyze each one. Results are synthesized into a prioritized list of findings.<p>I built this because code "literature review" is time-consuming. Before building something, you should survey similar projects to learn patterns and avoid known pitfalls. But reading through 10+ repos takes hours. This automates that process.<p><a href="https://github.com/WindChimeRan/deep_code_research" rel="nofollow">https://github.com/WindChimeRan/deep_code_research</a>