The GitHub Universe 2026 schedule just dropped, and it’s full of exciting sessions, demos, and panels covering the potential of AI-powered development.
If you haven’t registered yet, here’s what you need to know.
This two-day event brings together some of the greatest minds in tech, with experts from companies like AMD, Figma, NVIDIA, Coinbase, Anthropic, and OpenAI leading our sessions.
They’re covering everything from delegating real work to Copilot and measuring AI at enterprise scale to fine-grained security for MCP servers.
You’ll also have the chance to chat with the GitHub team one-on-one, get your questions answered, and even pick up some career advice.
Did we mention the Ship & Tell sessions where teams show what they’ve built, and partner booths where you can demo the latest tech?
When: October 28-29 Where: Fort Mason Center, San Francisco, CA One thing first: register before August 19 and save $300 with Early Bird passes.
Prices go up after that, so if Universe is already on your list, now’s the moment.
The best part?
You can stack savings with our group discounts.
Register now Here’s a sneak peek of some of the sessions we have planned.
You can jump to the full agenda right here.
Be sure to mark your favorites to build your own personal calendar.
Find your flow Some of the best moments at Universe happen heads-down: working through a real problem, configuring something on your own machine, and walking out with a project you can actually use.
This year’s catalog leans into that with learnings you can take straight back to your repositories.
A few sessions to start with: Stop prompting, start delegating: Configure Copilot to own the work Ken Muse, GitHub; Mickey Gousset, GitHub Learn how the right Copilot configuration turns AI into something you can trust with complex tasks.
Layer Copilot’s full stack onto a TypeScript app, and you’ll leave with a working project and a clear sense of which capability fits which task, so you can delegate more and prompt less.
Inside GitHub Copilot’s coding harness: Optimizing across every model Julia Kasper, Microsoft Shipping a coding agent that works across OpenAI, Claude, Gemini, and whatever drops next week takes a harness.
See the evaluation framework the GitHub Copilot team uses to test and optimize its agent across every model: reproducible benchmarks, thousands of autonomous coding tasks, and LLM-graded assertions that catch regressions before users do.
Stop waiting on your own pull requests: GitHub stacked pull requests in practice Sameen Karim, GitHub Stacked pull requests let you split changes into smaller, dependent pull requests that move through review efficiently while preserving the full picture.
This demo builds a stack with the GitHub CLI, reviews it on github.com, and merges each pull request as it’s ready—so you leave with a workflow you can use tomorrow.
Find your people Hallway conversations, a question that reframes your whole approach, the engineer who already solved the thing you’re stuck on.
This year’s agenda is filled with sessions for exactly that.
Plus, hallway tracks, partner booths, and Ship & Tell sessions where teams show what they’ve actually built.
A few sessions worth your time: Building AI fluency at UPS Jared Hatfield, UPS Getting developers to try GitHub Copilot is simple; getting them fluent with it—using agents to plan, write, and ship real work—is the harder challenge.
See how UPS moves developers from awareness to fluency, why motivation and measurement matter as much as the tooling, and where to focus first at enterprise scale.
Code is the easy part: Building Home Assistant in the open Franck Nijhof, Open Home Foundation “Building in the open” usually means one thing: code on GitHub.
But the hard work starts long before code—ideas, UX, design, architecture, the roadmap itself.
At Home Assistant, every step hap