The article introduces four popular GitHub open‑source projects—a design guide for AI agents, a Python code‑complexity optimizer, a Meta/Oxford 3D scene reconstruction model, and a C++ implementation of Wallpaper Engine—detailing their features, usage, and resource links.
In this article, Alibaba senior tech expert Zhang Jianfei shares a practical methodology for handling intricate business scenarios—like product listing in the Retail platform—by combining top‑down process decomposition with bottom‑up object‑oriented modeling, avoiding heavyweight workflow tools, and applying ability sinking to keep domain code clean, reusable, and maintainable.
The article explains how cyclomatic complexity, method and class length, and internal class coupling affect code maintainability, and demonstrates how tools like PMD and JavaNCSS can be configured to detect and refactor overly long or tightly coupled code structures.
The article explains the Norris constant—initially 1,500 lines, later 2,000 and 20,000—as a practical bottleneck where novice programmers’ code becomes unmanageable, arguing that disciplined design, simplicity, and strategic “no” decisions are essential to break these limits and sustain large‑scale software.
