编码代理不断破坏我的干净框架——所以我修正了规则

📄 中文摘要

在使用人工智能编写代码的过程中,保持代码的整洁性成为了一项挑战。尽管AI能够快速生成代码,但生成的代码往往不符合预期的结构和规范。为了应对这一问题,作者提出了一系列规则,以确保生成的代码在功能和可读性上都能达到预期标准。这些规则不仅帮助改善了代码的质量,还提高了开发效率,减少了后期维护的难度。通过这些措施,开发者能够更好地利用AI的优势,同时保持项目的整洁性和可维护性。

📄 English Summary

Coding Agents Keep Wrecking My Clean Scaffolding — So I Fixed the Rules

Maintaining code cleanliness while utilizing AI for coding presents a significant challenge. Although AI can generate code rapidly, the output often fails to meet expected structural and stylistic standards. To address this issue, the author has established a set of rules aimed at ensuring that the generated code meets functional and readability criteria. These rules not only enhance code quality but also improve development efficiency and reduce maintenance difficulties. By implementing these measures, developers can better leverage the advantages of AI while preserving the cleanliness and maintainability of their projects.

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