On this week's episode, former GitHub Copilot lead Ryan Salva breaks down how AI coding tools became ubiquitous almost overnight. They discuss the critical differences between what novice and expert developers expect from AI, why starting with predictive text was both a blessing and a curse, and how the rapid adoption of AI assistance is reshaping the future of software development.
Chapters:00:00 - Introduction 01:09 - The Creation of GitHub Copilot 05:39 - From Prototype to Product: Challenges in Scaling 07:37 - How GitHub Copilot Works Behind the Scenes 11:18 - Metrics That Matter: Evaluating AI Success 14:43 - Building Momentum: What It Feels Like to Launch a Hit 17:51 - The Evolution of AI Tools for Developers 21:13 - Evaluations and Testing in AI Development 26:00 - The Role of Automation and the Future of Coding 30:53 - Will Engineers Still Write Code in the Future? 33:16 - Advice for Aspiring AI Builders 36:51 - Is AI Overhyped or Underhyped? 38:17 - Closing Reflections
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