📄 中文摘要
AI 生成的代码面临黑箱问题，导致其维护性下降。无结构生成将所有功能耦合为一个模块，而结构化生成则将系统分解为独立的组件，具有明确的单向依赖关系。后者在代码的可读性和可维护性方面表现更佳。通过对比这两种架构，能够更好地理解 AI 生成代码的局限性以及如何改善其设计，以提高长期维护的可行性。
黑箱问题：为何 AI 生成的代码难以维护
📄 English Summary
The Black Box Problem: Why AI-Generated Code Stops Being Maintainable
The black box problem in AI-generated code leads to challenges in maintainability. Unstructured generation couples all functionalities into a single module, while structured generation decomposes the system into independent components with explicit, one-directional dependencies. The latter approach enhances code readability and maintainability. By comparing these two architectures, a better understanding of the limitations of AI-generated code emerges, along with insights on how to improve design for better long-term maintainability.