Last updated on January 3, 2026 by Editorial Team
Author(s): Rashmi
Originally published on Towards AI.
Architecture has gone bad due to over-reliance on AI generation
Problem: AI generates working code but often creates architectural debt – poor separation of concerns, tight coupling, and no thought about scalability.
The article highlights significant shortcomings facing AI developers, emphasizing that while AI can generate code faster, it often leads to architectural debt, poor error handling, lack of meaningful tests, and a general degradation in performance. It urges developers to refactor AI-generated code, implement proper testing, ensure observability, and practice good configuration management to enhance the quality of their software systems. Ultimately, this article simply calls for an engineering mindset over coding speed, claiming that thorough oversight and control is necessary to effectively manage AI-generated code.
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Published via Towards AI
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Comment: The content represents the views of the contributing authors and not those of AI.
