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

Jun 2, 2026 · 1:24:44

GitHub COO Kyle Daigle joins Swyx to unpack how the agent era is transforming GitHub's infrastructure and developer workflows, from 14x commit growth to internal AI micro-skills. Daigle describes using WorkIQ, MCP, and Slack/Teams context to retroactively analyze weeks' work and build executive presentations entirely with AI, undetected. He advocates atomic micro-skills over mega-skills and reveals GitHub now hosts 200M developers generating 275M weekly commits, on pace for 14B this year. Scaling issues stem from MySQL1 permissions and monorepo shifts, forcing rewrites of 10-year-old services. Copilot has evolved from code completion to a unified agent SDK powering CLI, desktop, and cloud agents. Microsoft's deep investment in OpenClaw reflects a need for OS-level sandboxing for enterprise agent deployment.

Best of 2024 in Agents (from #1 on SWE-Bench Full, Prof. Graham Neubig of OpenHands/AllHands)

Dec 25, 2024 · 51:25

Professor Graham Neubig of CMU and AllHands AI, maintainer of the open-source coding agent framework OpenHands, delivers a talk on the state of agents in 2024, arguing that agents are now capable of automating significant portions of software development but still struggle with information gathering and error recovery. He demonstrates OpenHands solving real coding tasks live, explains key design choices like using Python code execution over granular tool calls to reduce LLM invocations, and shares that Claude currently outperforms other models for agentic tasks due to superior instruction following and error correction. Neubig discusses eight perennial agent problems including agent-computer interface, human-agent interface, model selection, planning, workflows, exploration, search, and evaluation. He predicts every major LLM trainer will focus on agent-oriented models by mid-2025, that agent benchmarks like SWE-Bench and WebArena will saturate and require harder successors, and that the biggest challenge will be designing human-agent interfaces for systems that succeed only 30-40% of the time autonomously but 80-90% with human feedback. The talk also covers workflow memory as a…