我让 AI 审计了我的整个代码库以测试可行性

📄 中文摘要

在对代码库的深入了解中,作者发现单元测试、集成测试和端到端测试之间的界限变得模糊不清。为了寻找解决方案,作者使用了 GitHub Copilot CLI 对整个代码库进行了审计,结果不仅提供了有用的信息,还揭示了长期以来被忽视的架构问题。这次审计提供了对代码结构的全面分析,帮助作者更清晰地理解测试的层次和目的,从而提升了代码的可测试性。

📄 English Summary

I Made AI Audit My Entire Codebase for Testability

The author faced a challenge in distinguishing between unit tests, integration tests, and end-to-end tests within their codebase. To address this issue, they utilized GitHub Copilot CLI to audit the entire codebase for testability. The results were not only helpful but also provided a comprehensive analysis of the architecture, revealing violations that had been overlooked for months. This audit offered a clearer understanding of the layers and purposes of tests, ultimately enhancing the testability of the code.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等