This article tackles the challenge of selecting AI coding tools for Chinese companies, comparing three options: Kiro, Trae, and Qoder. The author proposes a practical testing approach: having each tool create a simple Android app, then compiling and uploading it via GitHub Action workflows to assess their viability as development assistants. Test results indicate Kiro is functional, Trae underperformed, while Qoder remains untested. This workflow-based testing methodology offers an objective evaluation framework for businesses choosing AI programming tools, enabling more informed decision-making.
Original Link:V2EX Share & Discover
最新评论
照片令人惊艳。万分感谢 温暖。
氛围绝佳。由衷感谢 感受。 你的博客让人一口气读完。敬意 真诚。
实用的 杂志! 越来越好!
又到年底了,真快!
研究你的文章, 我体会到美好的心情。
感谢激励。由衷感谢
好久没见过, 如此温暖又有信息量的博客。敬意。
很稀有, 这么鲜明的文字。谢谢。