GitHub’s Agent Era: 14x Commits, 200M Developers, Copilot’s Next Act — Kyle Daigle
About this episode
From the show’s notesThanks to Microsoft for setting this up for Build! ( 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.
Read the show’s notes in full
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
