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Building AI-ready teams: Why documentation and culture matter more than tools
Manage episode 513618297 series 3695644
Stack Overflow and The Stack Overflow Podcast द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Stack Overflow and The Stack Overflow Podcast या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.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:
- Listen to Part 1 of the conversation here.
- Connect with Peter O’Connor and Ryan J Salva.
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