GitHub’s Agent Era: 14x Commits, 200M Developers, Copilot’s Next Act — Kyle Daigle

Thanks to Microsoft for setting this up for Build! ( https://build.microsoft.com/ - join livestream at 12.30pm PT today for a special crossover pod with ‪@NoPriorsPodcast‬ and Satya Nadella!) From running GitHub through one of the most intense platform shifts in its history to turning AI into a daily operating system for leadership work, Kyle Daigle is seeing the agent era from the inside. In this episode, GitHub COO Kyle Daigle joins swyx to unpack what happens when AI doesn’t just autocomplete code, but starts changing how companies operate, how open source works, how pull requests get reviewed, and how GitHub itself has to scale. We go deep on GitHub’s internal AI workflows: micro-skills, WorkIQ, MCP, Slack, Teams, email, Copilot workflows, the new Copilot desktop app, CLI, cloud agents, and how Kyle uses agents to look backwards across company context before deciding what to do next. Kyle also reflects on GitHub’s history building webhooks, APIs, Actions, npm, Dependabot, and Semmle, why the AI era is breaking GitHub in new ways, how Actions became a general-purpose compute layer, and what Copilot becomes after code completion. We discuss: • Kyle’s expanded role across GitHub and Microsoft • How AI got Kyle coding again after years in leadership • Why GitHub rolls out AI through existing workflows instead of forcing new tools • WorkIQ, MCP, Slack, Teams, email, and GitHub as company context • Why massive “mega-skills” are giving way to small, atomic micro-skills • How AI changes summarization, communications, marketing, and analyst work • Why former developers in leadership may have a unique advantage in the AI era • Kyle’s “15 agents on Saturday” workflow • How Kyle built an AI-generated executive presentation for CRO/CFO teams • Why AI changes the chief of staff role without removing the human work • GitHub Actions, webhooks, arbitrary code execution, and secure agent compute • The npm acquisition, supply-chain security, 2FA, and token invalidation • Slop forks, vendoring, and whether AI agents change dependency management • What pull requests become when most PRs come from agents • Prompt requests, vouching, AI review, and trust in open source • Whether GitHub stars are broken in the AI era • Why GitHub now has 200M+ developers • What counts as a “developer” when AI lowers the barrier to building • GitHub Spark, low-code, and why GitHub refuses to hide the code • Why this is both GitHub’s hardest and most exciting era • 14x commit growth, Actions load, databases, monorepos, and availability • Copilot’s evolution from completion to CLI, desktop app, cloud agents, and SDK • Context, memory, rules, and making GitHub “act like Kyle wants it to act” • Ambient AI, OpenClaw, enterprise security, and the new operating system for agents • What swyx should ask Satya Nadella about Microsoft’s AI future — Kyle Daigle • LinkedIn:   / kyledaigle   • X: https://x.com/kdaigle Timestamps 00:00:00 Hook 00:01:21 Introduction 00:04:57 Why AI Got Kyle Coding Again 00:08:25 Running GitHub with AI: WorkIQ, MCP, Slack, Teams, and Skills 00:17:00 The Golden Age for Former Developers in Leadership 00:18:52 15 Agents on Saturday and AI-Generated Executive Work 00:21:41 How AI Changes the Chief of Staff Role 00:23:06 GitHub’s History: Actions, npm, Webhooks, and Open Source 00:30:06 Slop Forks, Vendoring, and AI Dependency Management 00:35:18 Pull Requests, Prompt Requests, and Trust in Agent-Generated Code 00:42:42 GitHub Stars, 200M+ Developers, and the New AI Builder Wave 00:46:36 GitHub Spark, Low-Code, and Why GitHub Still Shows the Code 00:48:59 GitHub’s Hardest Era: 14x Growth, Reliability, and Scale 01:00:42 Actions as the Compute Layer for CI/CD and Automation 01:03:25 The State and Future of GitHub Copilot 01:09:45 Ambient AI, Background Agents, and the Future of the SDLC 01:14:30 OpenClaw, Enterprise Security, and the New OS for Agents 01:19:24 Build Announcements, WorkIQ, FoundryIQ, and Microsoft Context 01:23:02 What Should swyx Ask Satya?