Sessions

Explore the Universe 2025 on demand catalog. Filter by topic, audience, industry, format, or experience level.

Breakout session (40 minutes)

A focused presentation designed to inform and inspire the audience. These sessions typically feature a single speaker or co-presenters sharing expertise, insights, and practical takeaways. While this session type is primarily in a presentation format, audience engagement through Q&A, polls, and/or brief interactions is encouraged to enrich the experience.

Panel discussion (40 minutes)

A moderated session where a diverse group of experts debate or discuss fresh, timely, and thought-provoking topics shaping the industry. Panels should showcase a range of perspectives and experiences, challenging conventional wisdom and sparking new ideas. To ensure audience value, a significant portion of the session will be dedicated to Q&A and interactive engagement.

Fireside chat (40 minutes)

While similar to a panel discussion, this is a conversation between a moderator and one speaker rather than a group of experts.

Product demo (15 minutes)

A presentation focused on tips, tricks, and best practices for working in a specific product.

Discussions lounge (60 minutes)

A highly interactive gathering where two to three facilitators guides a group of 50+ attendees through dynamic small-group conversations on a specific topic of interest. Prioritizing active participation and collaboration, these discussion-driven sessions do not include slide presentations.

Sandbox session (60 mins)

This session combines both a demo-style and workshop format with practical exercises. Facilitators will demonstrate live the fundamental concepts, tools, or techniques they used to solve a specific challenge in the software development landscape. This will be followed by an opportunity for participants to actively engage in interactive exercises similar to the ones demonstrated to solidify their understanding.

Workshop (90 minutes)

Similar to a sandbox session (but without the demo portion), this session type focuses entirely on interactive exercises for a deeper, more immersive learning experience. This is your traditional workshop format, where facilitators guide attendees step-by-step through targeted activities. Participants will actively engage with the material, gaining practical insights and applying concepts in a collaborative setting tailored to enhance their understanding and skills. Note: Workshops require an additional fee of $99, which you can add to your registration in the Attendee Portal.

Level 100 – Introductory

Designed for those new to the topic, these sessions focus on foundational knowledge, covering basic concepts, features, and benefits. No prior expertise is assumed.

Level 200 – Intermediate

Best suited for attendees with a working understanding of the topic. These sessions explore real-world applications, technical details, and best practices.

Level 300 – Advanced

Intended for experienced practitioners, these sessions dive deep into complex, real-world challenges, advanced techniques, and expert-level insights.

In-person

Join us live at Universe for the full interactive experience with speakers and fellow attendees.

Recorded

Catch this session on-demand after the event—perfect for revisiting key insights or sharing with your team.

Livestream

Watch live from anywhere, then access the recording later. Get the real-time experience remotely.

On-demand

Available to watch anytime after Universe. Dive in when it fits your schedule.

AI summary

New this year: Get instant key takeaways with an AI-generated summary available shortly after the session ends.

Browse 2025 Sessions

25 sessions

9:00 am PDT - Oct 28

10:00 am PDT - Oct 28

  • Breakout Session
    Build
    Automate
    Level 200: Intermediate
    Financial Services
    Government
    Healthcare, Pharmaceuticals & Biotech
    Retail
    Software & Internet
    Telecommunications
    Actions
    GitHub Advanced Security
    Codespaces
    GitHub Copilot
    Dependabot
    GitHub Secret Protection
    GitHub Code Security
    GitHub Copilot Workspace
    VS Code
    GitHub Spark
    Projects and Issues
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Security Leadership
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Cloud-native development
    Tech debt and security debt
    Code quality, review, and completion
    Governance and compliance
    Understand how AI agents integrate securely within enterprise SDLC processes
    Discover practical methods for rapidly prototyping and planning with AI-powered tools
    See how these tools collaborate in real-world scenarios to streamline development tasks
    Automate and scale with confidence
    What's new from GitHub?
    Agentic AI + Model Context Protocol (MCP)
    Financial Services
    Manufacturing
    Healthcare & Life Sciences
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
    All Approved and Published Sessions
    https://docs.github.com/en/enterprise-cloud@latest/copilot/concepts/agents/coding-agent/about-coding-agent?utm_source=universe-web-page-docs-ent-coding-agent&utm_medium=web&utm_campaign=universe25post
    Tuesday, Oct 28
    10:00 a.m. Tuesday, Oct 28
    BuildIn-person
    What if your team had extra help tackling the busywork of software development? What does the next wave of building software in the enterprise really look like? In this fast paced session, we’ll explore how AI-powered agents are transforming the development journey, from brainstorming to deployment, and even how we tackle code quality. We’ll look at the evolution ahead, what to expect over the next 12, 24, and 36 months, and share real world demos showing agents co-creating code, reviewing pull request, fixing bugs, and more. All while staying inside the guardrails that matter to your business. You’ll leave with a clear picture of how AI can help developers focus on what they do best: creative, impactful work — and what “good” looks like for enterprise software development in the years to come. Oh, and yes, there’ll be a few surprises and swag hand outs along the way!!

    , Sr. Director, Product Leads, GitHub

    , VP, Product Management, GitHub

    See Details arrow-forward
    Track: Build, Automate
    Delivery Format: In-person, AI summary

12:00 pm PDT - Oct 28

  • Product Demo
    Build
    Level 100: Introductory
    All / Cross-Industry
    Business Services
    Computers & Electronics
    Consumer Services
    Education
    Energy & Utilities
    Financial Services
    Food & Beverage Services
    Government
    Healthcare, Pharmaceuticals & Biotech
    Manufacturing
    Media & Entertainment
    Non-Profit
    Real Estate & Construction
    Retail
    Software & Internet
    Telecommunications
    Transportation & Storage
    Travel, Recreation, and Leisure
    Wholesale & Distribution
    Applicable to All
    Food & Beverage Manufacturing
    Agriculture & Mining
    GitHub Copilot
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Educators & Students
    In-person
    Recorded
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Pair programming
    Software Engineering
    Productivity
    Ship code faster by delegating complex, multi-step workflows to an autonomous agent that plans, code, tests, and iterates — all from your terminal
    Stay in control and gain full transparency through direct approval, with the ability to stop tasks mid-flight, along with enterprise-grade security built into every interaction
    With your existing Copilot paid subscription, you can start seamlessly with the only GitHub-native CLI agent
    https://youtu.be/82jciNezDMY
    Build faster, stay in flow
    What's new from GitHub?
    Agentic AI + Model Context Protocol (MCP)
    All Approved and Published Sessions
    Hidden (Manual Add)
    https://github.com/features/copilot/cli?utm_source=universe-web-page-features-copilot-cli&utm_medium=web&utm_campaign=universe25post
    Tuesday, Oct 28
    12:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Transform your terminal into an AI-powered development environment with GitHub Copilot CLI, which brings the same runtime that powers GitHub Copilot coding agent directly to your command line. In this demo, discover how you can use Copilot CLI to build, debug, and understand code through natural language interactions. Watch as the team demonstrates real-world terminal-first development workflows invoking a coding agent, while maintaining full transparency and control throughout.

    , Product Manager, GitHub

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    Track: Build
    Delivery Format: In-person, Recorded, AI summary
  • Ship & Tell
    Manufacturing
    GitHub Advanced Security
    GitHub Copilot
    Enterprise - Engineering Leadership
    Security Professional
    Security Leadership
    In-person
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Security (RASP, supply chain, threat modeling, vulnerability detection)
    Agentic AI + Model Context Protocol (MCP)
    Engineering leaders
    Security professionals
    Manufacturing
    Ship & Tell
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-keynote-large_1755504861522001HU9w.png
    All Approved and Published Sessions
    Hidden (Manual Add)
    Tuesday, Oct 28
    12:00 p.m. Tuesday, Oct 28
    In-person
    AMD standardized on GitHub Enterprise to bring hardware and software engineering together at scale, fueling innovation with GitHub Copilot and Agent Mode, and strengthening security with GitHub Advanced Security. In this interactive Q&A, AMD’s development team will share how they’re leading change across a global engineering organization, from adopting agentic AI to building securely and innovating faster with GitHub. Come ready with your questions and stay tuned for AMD’s full customer video, coming soon.

    , Sr. Director, Software Development, AMD

    , Sr. Software Development Engineer, AMD

    , Director, Hardware Engineering, AMD

    See Details arrow-forward
    Delivery Format: In-person

1:00 pm PDT - Oct 28

  • Product Demo
    Build
    Level 300: Advanced
    Applicable to All
    GitHub Copilot
    VS Code
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Startups
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Automated Infrastructure Deployment
    Migration strategies
    Learn how GitHub Copilot streamlines app modernization for Java and .NET platforms
    See how AI agents can analyze codebases to suggest upgrade paths and fixes
    Discover how developers can stay in control while using AI to automate remediation tasks
    Build faster, stay in flow
    Agentic AI + Model Context Protocol (MCP)
    All Approved and Published Sessions
    Tuesday, Oct 28
    1:00 p.m. Tuesday, Oct 28
    BuildIn-person
    In this session, you'll discover how GitHub Copilot’s app-modernization capabilities are redefining the modernization journey for Java and .NET applications. You'll see how you can leverage AI agents to assess your codebase, identify upgrade paths, and automate remediation tasks, while staying in control.

    , Senior Product Manager, Microsoft

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    Track: Build
    Delivery Format: In-person, AI summary

2:00 pm PDT - Oct 28

  • Breakout Session
    Secure
    Level 200: Intermediate
    Computers & Electronics
    Financial Services
    Government
    Healthcare, Pharmaceuticals & Biotech
    Software & Internet
    Applicable to All
    Actions
    VS Code
    Enterprise - Developer
    Security Professional
    Security Leadership
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Security (RASP, supply chain, threat modeling, vulnerability detection)
    Gain a clear understanding of the current security risks and conventions for authenticating and authorizing MCP servers
    Discover practical strategies and tools to simplify and strengthen security for both local and remote MCP servers
    Learn why security must be an integral part of the MCP server development lifecycle, and how familiar API security principles can be adapted for modern AI-powered infrastructures
    Secure every commit
    Agentic AI + Model Context Protocol (MCP)
    Developers
    Security professionals
    Financial Services
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.png
    All Approved and Published Sessions
    Tuesday, Oct 28
    2:00 p.m. Tuesday, Oct 28
    SecureIn-person
    Model Context Protocol (MCP) is top of mind for developers. Everyone wants to expose tools and data to their customers' large language models (LLMs) in a consistent way. But can you do this without risking your data from being misused or accidentally exposed? In this session, you'll learn about the latest ways you can protect local and remote MCP servers and make sure that your data is secure — no matter how it's hosted.

    , Principal Product Engineer, Microsoft

    See Details arrow-forward
    Track: Secure
    Delivery Format: In-person, AI summary
  • Product Demo
    Build
    Level 100: Introductory
    Applicable to All
    GitHub Copilot
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Startups
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Code quality, review, and completion
    Learn how Copilot code review has evolved from static suggestions to dynamic, context-aware collaboration
    Gain practical tips for adopting Copilot code review in enterprise and team workflows
    Join the growing number of developers using Copilot code review — and explore how to get started in your own workflows.
    Build faster, stay in flow
    What's new from GitHub?
    Agentic AI + Model Context Protocol (MCP)
    All Approved and Published Sessions
    https://github.com/features/code-review?utm_source=universe-web-page-features-code-reviews&utm_medium=web&utm_campaign=universe25post
    Tuesday, Oct 28
    2:00 p.m. Tuesday, Oct 28
    BuildIn-person
    This session explores how GitHub Copilot is transforming the entire pull request experience — not just by reviewing code, but by acting as a full-fledged agent that helps developers write, refine, and ship high-quality changes faster. You'll get a chance to walk through the journey from public preview to GA, hear what the GitHub team has learned from customers, and discover what’s next in the product queue. From generating pull request summaries to surfacing repo-aware feedback, Copilot is changing how teams use GitHub to collaborate and merge secure code with confidence.

    , Senior Product Manager, Copilot, GitHub

    See Details arrow-forward
    Track: Build
    Delivery Format: In-person, AI summary

3:00 pm PDT - Oct 28

  • Product Demo
    Build
    Level 100: Introductory
    Applicable to All
    GitHub Copilot
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Startups
    In-person
    Recorded
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Tech debt and security debt
    We are entering the age of refactoring over rebuilding
    AI agents, including Copilot coding agent, can help you continuously work through your tech debt backlog
    AI agents are easy to use and can free your engineering team up to generate customer value
    https://youtu.be/LafpndhNC_E
    Build faster, stay in flow
    What's new from GitHub?
    Agentic AI + Model Context Protocol (MCP)
    All Approved and Published Sessions
    https://docs.github.com/en/enterprise-cloud@latest/copilot/concepts/agents/coding-agent/about-coding-agent?utm_source=universe-web-page-docs-ent-coding-agent&utm_medium=web&utm_campaign=universe25post
    Tuesday, Oct 28
    3:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Before the age of agents, tech debt often went straight from the backlog to the graveyard. While it’s important to continually identify ways to improve your services, it can be difficult to prioritize those items over customer-facing enhancements. With the introduction of AI agents, that paradigm has shifted: you can now more easily modernize and evolve your codebase, ensuring it never becomes the next legacy. This talk will cover how to embrace the process of modernizing legacy software and how to leverage AI agents, like Copilot coding agent, to keep your codebase up to date.

    , Senior Software Engineer, GitHub

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    Track: Build
    Delivery Format: In-person, Recorded, AI summary

4:00 pm PDT - Oct 28

  • Product Demo
    Build
    Level 100: Introductory
    All / Cross-Industry
    Business Services
    Computers & Electronics
    Consumer Services
    Education
    Energy & Utilities
    Financial Services
    Food & Beverage Services
    Government
    Healthcare, Pharmaceuticals & Biotech
    Manufacturing
    Media & Entertainment
    Non-Profit
    Real Estate & Construction
    Retail
    Software & Internet
    Telecommunications
    Transportation & Storage
    Travel, Recreation, and Leisure
    Wholesale & Distribution
    Applicable to All
    Food & Beverage Manufacturing
    Agriculture & Mining
    GitHub Copilot
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Startups
    Educators & Students
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Discover how spec-driven development transforms vague prompts into clear, executable intent for AI coding agents
    Understand how Spec Kit structures engineering into four validated phases for better code quality and project clarity
    Learn how embedding requirements and constraints in living specs improves alignment, reduces surprises, and elevates team collaboration
    Build faster, stay in flow
    What's new from GitHub?
    Agentic AI + Model Context Protocol (MCP)
    All Approved and Published Sessions
    Hidden (Manual Add)
    https://github.com/github/spec-kit?utm_source=universe-web-page-product-spec-kit&utm_medium=web&utm_campaign=universe25post
    Tuesday, Oct 28
    4:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Ever asked an AI coding agent to build something, only to get code that technically works but completely misses the mark? You’re not alone. In this session, you’ll discover Spec Kit, an open source toolkit that changes how you collaborate with AI coding agents. Instead of tossing vague prompts into the void, you’ll learn how to create living specifications that guide AI to deliver exactly what you need. We’ll show how Spec Kit turns chaotic “just build it” requests into clear, testable roadmaps. You’ll see how it breaks development into four validated phases, embeds your actual requirements, and adds checkpoints to catch issues before they become costly surprises. Whether you’re using GitHub Copilot, Claude Code, or any other AI agent, you’ll leave knowing how to stay in the driver’s seat—steering, validating, and iterating with confidence instead of cleaning up after the fact.

    , Principal Product Engineer, Microsoft

    See Details arrow-forward
    Track: Build
    Delivery Format: In-person, AI summary

10:00 am PDT - Oct 29

11:00 am PDT - Oct 29

  • Workshop
    Build
    Level 200: Intermediate
    Applicable to All
    GitHub Copilot
    Enterprise - Developer
    Open Source Developer or Maintainer
    In-person
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Continuous Integration + Continuous Deployment (CI/CD)
    Pair programming
    Productivity
    Code quality, review, and completion
    IDE Integration
    Discover how to bring AI agents into your software development workflow
    Identify scenarios where AI agents can be most impactful, and get tips and tricks to provide the right context that leads to the best output
    Discover how Model Context Protocol provides access to an additional set of external tools and capabilities that AI agents can use for even deeper context
    Build faster, stay in flow
    What's new from GitHub?
    Agentic AI + Model Context Protocol (MCP)
    All Approved and Published Sessions
    11:00 a.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    GitHub Copilot's agentic capabilities enhance its ability to act as a peer programmer. From the IDE to the repository, GitHub Copilot can generate code, run tests, and perform tasks, like creating pull requests using Model Context Protocol (MCP). This instructor-led lab will guide you through using agent capabilities on both the client and the server — helping you make the most of AI agents with quick tips to overcome potential pitfalls and plenty of best practices along the way.

    , Senior Developer Advocate, GitHub

    See Details arrow-forward
    Track: Build
    Delivery Format: In-person
  • Breakout Session
    Build
    Level 300: Advanced
    Software & Internet
    Applicable to All
    GitHub Copilot
    VS Code
    Enterprise - Developer
    Open Source Developer or Maintainer
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Collaboration
    Gain insight into how offline evaluations with diverse metrics reveal the strengths and limitations of large language models
    Learn how online experiments and real-world telemetry validate whether LLMs deliver meaningful value to developers
    Understand the trade-offs between innovation and reliability, and discover practical lessons for safely bringing AI from prototype to millions of developers
    Build faster, stay in flow
    Agentic AI + Model Context Protocol (MCP)
    Developers
    All Approved and Published Sessions
    11:00 a.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    What happens when large language models go from the lab to IDEs and products serving millions of developers? In this talk, you'll go behind the scenes of GitHub Copilot’s evaluation journey, from early prototypes to full-fledged product releases across GitHub. You’ll see how our team built a rigorous evaluation stack that blends offline benchmarks, online experiments, and real-world telemetry to answer one of the toughest questions in our space: Is this actually helping developers? You'll get to explore how we balanced speed with safety, innovation with reliability, and intuition with data, all while shaping the next generation of intelligent developer tools. Expect candid lessons, insights, and maybe even a few "don’t try this at home" stories. If you’ve ever wondered how we evaluate LLMs at GitHub, or just want to see what it takes to make AI useful at planetary scale, this session is for you.

    , Staff Manager, Applied Science, GitHub

    See Details arrow-forward
    Track: Build
    Delivery Format: In-person, AI summary

12:00 pm PDT - Oct 29

  • Product Demo
    Build
    Level 200: Intermediate
    Applicable to All
    GitHub Copilot
    VS Code
    Enterprise - Developer
    Open Source Developer or Maintainer
    In-person
    Recorded
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Open source
    IDE Integration
    Witness how developers can leverage Copilot's agent mode within VS Code to directly interact with GitHub through the MCP Server, streamlining code generation, issue resolution, and more.
    Observe how different AI agents can communicate and collaborate via the MCP Server, showcasing the potential for highly sophisticated, multi-agent workflows.
    Understand how to make the most out of the GitHub MCP Serve to supercharge your workflows.
    https://youtu.be/LwqUp4Dc1mQ
    Build faster, stay in flow
    What's new from GitHub?
    Agentic AI + Model Context Protocol (MCP)
    All Approved and Published Sessions
    https://github.com/github/github-mcp-server?utm_source=universe-web-page-product-mcp&utm_medium=web&utm_campaign=universe25post
    12:00 p.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    Discover the power of agent extensibility with a live demonstration of the GitHub MCP Server. This demo will showcase how to set up Copilot agent mode to seamlessly interact with GitHub directly from VS Code. We'll highlight key MCP tools, effective prompt engineering, and the agent-to-agent capabilities that unlock powerful multi-step workflows through natural language. See firsthand how the GitHub MCP Server redefines collaboration between humans, AI and GitHub.

    , Senior Software Engineer, GitHub

    , Principal Product Manager, GitHub

    See Details arrow-forward
    Track: Build
    Delivery Format: In-person, Recorded, AI summary
  • Product Demo
    Build
    Level 100: Introductory
    Applicable to All
    GitHub Copilot
    VS Code
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Startups
    Educators & Students
    In-person
    AI summary
    Accessibility
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Cloud-native development
    Collaboration
    Productivity
    Yes
    Understand how Figma’s Dev Mode MCP server exposes design context to power agentic workflows
    Learn how shared patterns across Figma and your codebase boost the efficiency and consistency of agentic coding
    Explore practical ways to leverage Figma and Copilot together in product development
    Build faster, stay in flow
    Agentic AI + Model Context Protocol (MCP)
    All Approved and Published Sessions
    12:00 p.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    Figma’s Dev Mode MCP server allows GitHub Copilot to access both design and codebase context in Figma, helping you write design-aligned UI code faster. This approach becomes even more powerful when your team aligns design patterns across Figma and your codebase using variable and component libraries. Join Jake Albaugh, developer advocate at Figma, to discover how you can pair the Dev Mode MCP server with GitHub Copilot to improve your agentic workflows and consistently align production code to design intent.

    , Developer Advocate, Figma

    See Details arrow-forward
    Track: Build
    Delivery Format: In-person, AI summary
  • Breakout Session
    Build
    Level 200: Intermediate
    Applicable to All
    GitHub Copilot
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Startups
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Continuous Integration + Continuous Deployment (CI/CD)
    Monitoring and observability
    Open source
    Security (RASP, supply chain, threat modeling, vulnerability detection)
    Code quality, review, and completion
    Prototype agentic applications using GitHub Models and open source project Agent Framework
    Experiment rapidly with built-in observability and streamlined testing
    Take your agents from prototype to production with Azure AI Foundry
    Build faster, stay in flow
    Agentic AI + Model Context Protocol (MCP)
    All Approved and Published Sessions
    12:00 p.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    Learn how to quickly prototype, iterate, and orchestrate intelligent workflows using GitHub and agent framework. Integrate with built-in tools via MCP and seamlessly move from experimentation to production.

    , Principal Product Manager, Microsoft

    , Senior Product Manager, GitHub

    See Details arrow-forward
    Track: Build
    Delivery Format: In-person, AI summary

1:00 pm PDT - Oct 29

2:00 pm PDT - Oct 29

3:00 pm PDT - Oct 29

4:00 pm PDT - Oct 29

  • Product Demo
    Build
    Automate
    Level 100: Introductory
    All / Cross-Industry
    Business Services
    Computers & Electronics
    Consumer Services
    Education
    Energy & Utilities
    Financial Services
    Food & Beverage Services
    Government
    Healthcare, Pharmaceuticals & Biotech
    Manufacturing
    Media & Entertainment
    Non-Profit
    Real Estate & Construction
    Retail
    Software & Internet
    Telecommunications
    Transportation & Storage
    Travel, Recreation, and Leisure
    Wholesale & Distribution
    Applicable to All
    Food & Beverage Manufacturing
    Agriculture & Mining
    GitHub Copilot
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Security Professional
    Startups
    Security Leadership
    Educators & Students
    In-person
    Recorded
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Find out how Copilot Spaces delivers grounded responses using persistent and live-updating context
    Learn how to build and share spaces for your team’s real projects, with secure, permission-aware access
    Walk away with the confidence and resources to solve real pain points
    https://youtu.be/DJN99IIAjiw
    Automate and scale with confidence
    What's new from GitHub?
    Agentic AI + Model Context Protocol (MCP)
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
    All Approved and Published Sessions
    Hidden (Manual Add)
    https://docs.github.com/en/copilot/how-tos/provide-context/use-copilot-spaces?utm_source=universe-web-page-docs-copilotspaces&utm_medium=web&utm_campaign=universe25post
    4:00 p.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    Ever wish GitHub Copilot just understood your project the first time, without needing to re-explain context or dig through scattered docs? Copilot Spaces is your shortcut. In this fast-paced demo, Product Manager Vanessa Kalu will show you how Spaces puts the right context—files, pull requests, issues, and repos—at Copilot’s fingertips. See how Spaces helps you onboard faster, solve problems without context gaps, and finally stop chasing info across tools. We’ll create a Space, add persistent and live-updating context, and share it securely with teammates, all in a few clicks. You’ll leave ready to try Spaces yourself and see how much better Copilot can be when it’s grounded in the right context.

    , Product Manager, GitHub

    See Details arrow-forward
    Track: Build, Automate
    Delivery Format: In-person, Recorded, AI summary