AI in Development
Kyle discusses the transformative impact of Copilot on code review processes, highlighting a remarkable 67% increase in speed for companies like Duolingo. He emphasizes the importance of enabling teams to adapt to new tools without requiring drastic changes in behavior, noting that successful AI integration often demands thoughtful implementation and support. The conversation reflects on the rapid advancements in AI and the potential for even greater efficiencies in the near future.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
730: How GitHub Operationalizes AI for Teamwide Collaboration and Productivity — with Kyle Daigle
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How are generative AI use cases evolving for code and developer productivity as discussed in the episode How GitHub Copilot Became the First LLM-Powered Developer Tool with Ryan Salva and the clip GitHub Copilot Journey?
How are generative AI use cases evolving for code and developer productivity as discussed in the episode How GitHub Copilot Became the First LLM-Powered Developer Tool with Ryan Salva and the clip GitHub Copilot Journey?
How are generative AI use cases evolving for code and developer productivity as discussed in the episode How GitHub Copilot Became the First LLM-Powered Developer Tool with Ryan Salva and the clip Building with AI?