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内容由Carl Franklin and Richard Campbell, Carl Franklin, and Richard Campbell提供。所有播客内容(包括剧集、图形和播客描述)均由 Carl Franklin and Richard Campbell, Carl Franklin, and Richard Campbell 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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Building an AI App with Calum Simpson

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Manage episode 522539968 series 134848
内容由Carl Franklin and Richard Campbell, Carl Franklin, and Richard Campbell提供。所有播客内容(包括剧集、图形和播客描述)均由 Carl Franklin and Richard Campbell, Carl Franklin, and Richard Campbell 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
What's it like building an AI-centric application? Carl and Richard talk to Calum Simpson of SSW about their product YakShaver. Calum talks about building a tool that speeds reporting on issues and ideas, so you can spend more time focusing on key issues rather than "shaving the yak." The use of LLMs makes YakShaver far more capable, and the upcoming V2 uses Model Context Protocol (MCP) servers to expand functionality and feed information directly into bug reports, such as GitHub issues and feature requests. The conversation also turns a bit more philosophical, focusing on innovative uses of LLMs, properly constraining these tools, and maintaining a transparent chain of responsibility for your code.
  continue reading

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Building an AI App with Calum Simpson

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1,477 subscribers

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Manage episode 522539968 series 134848
内容由Carl Franklin and Richard Campbell, Carl Franklin, and Richard Campbell提供。所有播客内容(包括剧集、图形和播客描述)均由 Carl Franklin and Richard Campbell, Carl Franklin, and Richard Campbell 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
What's it like building an AI-centric application? Carl and Richard talk to Calum Simpson of SSW about their product YakShaver. Calum talks about building a tool that speeds reporting on issues and ideas, so you can spend more time focusing on key issues rather than "shaving the yak." The use of LLMs makes YakShaver far more capable, and the upcoming V2 uses Model Context Protocol (MCP) servers to expand functionality and feed information directly into bug reports, such as GitHub issues and feature requests. The conversation also turns a bit more philosophical, focusing on innovative uses of LLMs, properly constraining these tools, and maintaining a transparent chain of responsibility for your code.
  continue reading

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