🤖 AI Summary
Overview
This episode explores the transformative impact of AI on software development, focusing on GitHub's role in an agent-native
world. Kyle Daigle, COO of GitHub and Microsoft's Chief Marketing Officer for Developer Products, discusses the explosion of agent-generated pull requests, the evolving definition of a developer, and GitHub's strategies to support open-source maintainers and enterprise users. The conversation also delves into pricing models, developer choice, and the future of personalized AI tools.
Notable Quotes
- Humans are way more willing to take critical feedback from robots than other humans.
– Kyle Daigle, on using AI for personal and professional improvement.
- We’re climbing that hill to see what we can build when it’s not just Kyle building, but Kyle and N agents using my skills, resources, and context.
– Kyle Daigle, on the potential of agent collaboration.
- The most durable advantage in this market is developer choice.
– Kyle Daigle, on GitHub’s philosophy in a competitive AI landscape.
🧑💻 Expanding the Definition of a Developer
- GitHub is seeing a surge in non-traditional developers, such as legal and finance teams, using tools like GitHub Copilot to build apps and automate tasks.
- Kyle Daigle shared his own journey from art school to coding, emphasizing GitHub’s commitment to making coding accessible for everyone, from hobbyists to enterprises.
- The GitHub Copilot app serves as an on-ramp for those new to coding, enabling knowledge workers to experiment with software development.
🌊 Managing the Agentic Pull Request Flood
- In March alone, 17 million pull requests were created by agents, contributing to GitHub’s projected 14 billion commits this year.
- GitHub is developing tools like agentic code review and agentic merge to streamline the review and merging process, reducing the burden on developers and open-source maintainers.
- Open-source maintainers are being equipped with customizable controls to manage contributions, ensuring quality while respecting community-specific workflows.
💸 Rethinking Pricing Models in an Agent-Driven World
- The traditional freemium model is being challenged as agents work around the clock, unlike human developers.
- GitHub is exploring usage-based pricing and model routers that optimize costs by selecting the right AI model for each task.
- Kyle Daigle highlighted the importance of balancing affordability with enabling developers to scale their agent usage effectively.
🔧 Developer Choice as a Competitive Advantage
- GitHub’s strategy centers on enabling developers to integrate with a wide range of tools and models, avoiding walled gardens
or vendor lock-in.
- Partnerships with companies like OpenAI, Anthropic, and Google ensure developers have access to diverse AI models through GitHub Copilot.
- Kyle Daigle emphasized that GitHub’s focus remains on building for developers, not just enterprise buyers, ensuring authenticity and trust.
🔄 Personalization and Self-Improvement Through AI
- Kyle Daigle shared his use of AI agents to analyze his communication patterns, offering feedback on clarity and tone.
- GitHub is investing in personalization features, such as fine-tuning AI models to understand individual developer preferences and workflows.
- The concept of hill climbing
was discussed as a method to iteratively improve AI tools, focusing on both short-term gains and long-term innovation.
AI-generated content may not be accurate or complete and should not be relied upon as a sole source of truth.
📋 Episode Description
Last year, there were 1 billion commits on GitHub. This year, Kyle Daigle expects that number to exceed 14 billion, a two-component explosion caused by more humans—and their agents—issuing pull requests. In March alone, 17 million pull requests on GitHub were created by agents.
Daigle is the COO of GitHub and Microsoft’s chief marketing officer for developer products. He’s been at GitHub for 13 years, and is paying close attention to how AI is expanding the platform’s user base. Along with agents, legal, sales, and marketing professionals are building apps with the GitHub Copilot app. The line between developer and non-developer is disappearing.
On this episode of AI & I, guest host Mike Taylor sat down with Daigle at Microsoft Build to discuss how GitHub is building infrastructure for an agent-native world: agentic code review, model routers that automatically select the right model for the task, and a philosophy that the most durable advantage in this market is developer choice.
If you found this episode interesting, please like, subscribe, comment, and share!
Want even more?
To hear more from Mike Taylor:
Subscribe to Every: https://every.to/subscribe
Follow him on X: https://x.com/hammer_mt
Timestamps for YouTube:
00:00:52: Introduction
00:03:27: The agentic PR flood
00:04:33: GitHub's approach to helping open-source maintainers manage the surge
00:06:15: What 14 billion commits means for code quality
00:08:03: Moving from per-seat licensing to usage-based pricing
00:09:45: Kyle's dual role as GitHub COO and Microsoft's chief marketing officer for developers
00:13:03: Developer choice as competitive moat
00:14:57: How to balance dogfooding your own tools with staying honest about the competition
00:19:45: Hill climbing, frontier tuning, and solving the model-routing problem
00:24:45: Kyle's agentic communication hack
Links to resources mentioned in the episode:
Kyle Daigle on X: https://x.com/kdaigle
Mike Taylor on Every: https://every.to/@mike_2114
Mike’s piece on building an AI version of Kyle Daigle: https://every.to/also-true-for-humans/i-interviewed-an-ai-version-of-github-s-coo-then-spoke-to-the-real-one
GitHub Copilot: https://github.com/features/copilot