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Building AI-ready teams: Why documentation and culture matter more than tools

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Manage episode 509803097 series 1123725
内容由Stack Overflow and The Stack Overflow Podcast提供。所有播客内容(包括剧集、图形和播客描述)均由 Stack Overflow and The Stack Overflow Podcast 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 the second part of this two-part Leaders of Code episode, Peter O'Connor, Director of Platform Engineering, and Ryan J. Salva, Senior Director of Product at Google Developer Experiences, dive beyond AI hype to explore the shifts reshaping how engineering teams operate and scale. From the critical role of documentation quality in AI workflows to the cultural transformations needed for successful adoption, Peter and Ryan discuss the deeper implications of integrating AI into modern software development practices.

The discussion also:

  • Explores how poor documentation creates problems as AI systems learn and repeat mistakes, making high-quality documentation essential for successful AI integrations.
  • Covers how consistent tools and processes become more important when using AI, and why leaders should prioritize helping teams learn and experiment with AI tools instead of just measuring productivity.
  • Offers practical advice for leaders on how to create environments where developers can learn and build confidence with AI tools.

Notes:

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  continue reading

891集单集

Artwork
icon分享
 
Manage episode 509803097 series 1123725
内容由Stack Overflow and The Stack Overflow Podcast提供。所有播客内容(包括剧集、图形和播客描述)均由 Stack Overflow and The Stack Overflow Podcast 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 the second part of this two-part Leaders of Code episode, Peter O'Connor, Director of Platform Engineering, and Ryan J. Salva, Senior Director of Product at Google Developer Experiences, dive beyond AI hype to explore the shifts reshaping how engineering teams operate and scale. From the critical role of documentation quality in AI workflows to the cultural transformations needed for successful adoption, Peter and Ryan discuss the deeper implications of integrating AI into modern software development practices.

The discussion also:

  • Explores how poor documentation creates problems as AI systems learn and repeat mistakes, making high-quality documentation essential for successful AI integrations.
  • Covers how consistent tools and processes become more important when using AI, and why leaders should prioritize helping teams learn and experiment with AI tools instead of just measuring productivity.
  • Offers practical advice for leaders on how to create environments where developers can learn and build confidence with AI tools.

Notes:

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  continue reading

891集单集

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