The AI-Generated Code Illusion: False Mastery

The author used AI to generate Go tests and a Svelte frontend, initially feeling highly efficient. However, they later discovered issues like mixed version syntax in the AI-generated code, requiring significant debugging time. This exposed a trap of AI tools: they generate seemingly correct code, creating an illusion of mastery, but fail to replace genuine understanding and thought. Over time, teams relying on AI experience declining code quality, ultimately leading to project failure. The author stresses that software development demands continuous effort and deep technical understanding; AI is merely a tool and cannot substitute a programmer's expertise and critical thinking.