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内容由Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan提供。所有播客内容(包括剧集、图形和播客描述)均由 Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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Exploring Ruby Code with AI Tools: DeepSeek, ChatGPT, CoPilot, Gemini

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Manage episode 472127970 series 3530865
内容由Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan提供。所有播客内容(包括剧集、图形和播客描述)均由 Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
In this podcast, Krish Palaniappan explores a piece of Ruby code used for a notification system, analyzing it through the lens of four different AI tools: DeepSeek, ChatGPT, Microsoft Copilot, and Gemini. The discussion delves into the strengths and weaknesses of the code, the evolving role of AI in software development, and the insights provided by each tool during the review process. The conversation highlights the importance of code readability, efficiency, and the potential for automation in code reviews. In this conversation, Krish Palaniappan discusses various AI tools for code review, comparing their functionalities, user interfaces, and performance. He emphasizes the importance of readability and modularization in code, while also sharing insights on the growing relevance of Python in AI development. The conversation culminates in a ranking of the tools based on their effectiveness, with ChatGPT emerging as the preferred choice. Snowpal Products
  continue reading

198集单集

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Manage episode 472127970 series 3530865
内容由Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan提供。所有播客内容(包括剧集、图形和播客描述)均由 Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
In this podcast, Krish Palaniappan explores a piece of Ruby code used for a notification system, analyzing it through the lens of four different AI tools: DeepSeek, ChatGPT, Microsoft Copilot, and Gemini. The discussion delves into the strengths and weaknesses of the code, the evolving role of AI in software development, and the insights provided by each tool during the review process. The conversation highlights the importance of code readability, efficiency, and the potential for automation in code reviews. In this conversation, Krish Palaniappan discusses various AI tools for code review, comparing their functionalities, user interfaces, and performance. He emphasizes the importance of readability and modularization in code, while also sharing insights on the growing relevance of Python in AI development. The conversation culminates in a ranking of the tools based on their effectiveness, with ChatGPT emerging as the preferred choice. Snowpal Products
  continue reading

198集单集

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