Developers face challenges when using AI IDEs to migrate high-fidelity prototypes to frontend projects: prototypes contain complex animations, large file sizes (thousands of lines), and AI tools cannot fully replicate animations during migration, requiring manual rewriting of some code. Users in the Linux community are seeking advice, exploring practical bottlenecks in AI-assisted development, such as insufficient parameter settings or algorithm limitations. The article shares practical techniques, including optimizing AI prompts, combining manual animation adjustments, and phased migration testing, to improve development efficiency and project quality. These insights reveal the potential and limitations of AI in complex development scenarios, providing developers with actionable experience to more effectively utilize AI tools for optimizing frontend workflows.
