The Reason Your AI Code Becomes Unmaintainable (and How to Fix It)

Summary

The article discusses why AI code often becomes unmaintainable, citing issues like lack of structure, poor documentation, and rapid prototyping without long-term planning. It suggests adopting software engineering best practices—such as modular design, thorough testing, and clear documentation—to improve code quality and sustainability in AI projects. This highlights the growing need for robust development standards as AI systems become more complex and widely deployed.