Daigle highlights the explosion of agentic pull requests, with 17 million created in March alone, and outlines GitHub's strategy to support this growth through tools like agentic code review and merge. He emphasizes a shift from per-seat to usage-based pricing to accommodate continuous agent activity. The conversation underscores GitHub's commitment to developer choice, integrating with multiple AI model providers while avoiding walled gardens. Daigle also discusses the importance of iterative AI improvement through hill climbing and model routing, and shares his personal use of an AI agent to refine his communication, noting that people often accept critical feedback more readily from AI than from humans.