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cover of episode AI Tools for app makers
People
J
Jeff
使用ChatGPT来改善关系和解决争论
P
Peter
Topics
Jeff: 我发现AI聊天机器人更适合用来讨论代码，而不是直接生成代码。与其让它直接生成代码，不如让它引导我解决问题，一步一步地指导我完成任务。例如，在处理数学问题时，AI工具可以帮助我逐步解决问题，因为它能分解问题，一步一步地指导我，而不会直接给出完整的解决方案，这样我就能理解每个步骤。AI工具还可以生成我不熟悉的代码，让我从中学习，而不是直接复制粘贴。此外，AI工具可以解释我从网上找到的代码，帮助我理解其功能，以便我能够用Swift或其他语言重新实现它。最后，AI工具可以帮助我回忆起API的名称，尤其是在处理过时或模糊的技术时，因为它可以提供准确的相关信息。 Peter: 无论使用什么工具（AI聊天机器人、谷歌搜索等），最终都需要知道要问什么问题以及如何提问。Xcode的代码预测功能有时非常出色，有时却令人费解，其表现并不稳定。对于一些样板代码（例如初始化器、Codable一致性等），Xcode的代码预测功能很有帮助，但并非完美无缺。Apple承诺的Swift Assist工具迟迟未发布，这让人对其在快速发展的AI领域中的竞争力产生担忧。Apple在AI服务方面明显落后于其他公司，并且其在WWDC上做出的承诺至今仍未兑现。 Peter: Cursor是一个基于Visual Studio Code的AI辅助开发工具，可以帮助开发者生成代码、解决问题并学习新的技术。使用Cursor生成React Web应用时，我发现它可以快速生成代码，并能够根据我的反馈进行调整，解决错误。使用Cursor生成SwiftUI应用时，我发现它能够快速生成基本功能的代码，包括模型、列表视图、详情视图等，并支持编辑和删除功能。在使用Cursor添加新功能时，我发现如果一开始就给出一个庞大的需求描述，然后逐步添加功能，可能会导致工具陷入循环，无法解决问题。Cursor的有效性取决于其输入数据的质量和代码库的规模，在处理大型项目或已有代码库时，其效果可能更好。GitHub Copilot for Xcode插件利用了一些技巧来实现与Xcode的集成，因为Xcode本身的插件系统并不完善。

Deep Dive

Chapters
This chapter explores the use of AI chatbots like ChatGPT and Claude in app development. It highlights their benefits in code generation, problem-solving, and code explanation, particularly for complex or outdated technologies. The hosts discuss using AI as a guide for problem-solving rather than a direct code generator.
  • AI chatbots assist in code generation, problem-solving, and code explanation.
  • They are particularly useful for understanding complex or outdated code.
  • Using AI as a conversational partner for problem-solving is more effective than solely relying on it for code generation.

Shownotes Transcript

This week’s episode discusses AI tools and their applications for developers. The hosts share their experiences using AI chatbots, highlighting their usefulness for code generation, problem-solving guidance, and code explanation. They also discuss the benefits of AI tools for finding code snippets and remembering API names.

AI tools are useful for developers, especially when dealing with outdated or obscure technologies, as they can provide accurate and relevant information. While Apple’s predictive code completion in Xcode has its limitations, it is a step towards integrating AI into developer tools. However, the lack of progress on Apple’s promised chat-based tool, Swift Assist, raises concerns about Apple’s ability to compete in the rapidly evolving AI landscape.

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