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.

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