How GitHub Copilot Became the First LLM-Powered Developer Tool with Ryan Salva

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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