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

64 sessions

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
  • Workshop
    Build
    Secure
    Level 300: Advanced
    Applicable to All
    GitHub Copilot
    VS Code
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Startups
    Educators & Students
    In-person
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Productivity
    IDE Integration
    Learn how to tailor GitHub Copilot’s suggestions using repository-specific instructions and prompt files to reflect your team’s coding standards, conventions, and architecture
    Gain insight into creating custom workflows that align Copilot with your security, compliance, and review processes — so it works the way your team does
    Understand how to scale Copilot customizations across your organization, enabling entire teams to benefit from shared context and consistent AI-assisted development
    Build faster, stay in flow
    What's new from GitHub?
    Developers
    All Approved and Published Sessions
    Tuesday, Oct 28
    10:00 a.m. Tuesday, Oct 28
    BuildIn-person
    Discover how to move from generic AI suggestions to a Copilot that fits your workflow like a glove. In this interactive workshop, we’ll guide you through setting up repository instructions, leveraging prompt files, and aligning Copilot with your security, style, and process requirements. Bring your use cases — we’ll help you design customizations that scale.

    , Principal Product Manager, Microsoft

    , Principal Solution Engineer, Microsoft

    , Sr. Cloud Solutions Architect, Microsoft

    See Details arrow-forward
    Track: Build, Secure
    Delivery Format: In-person
  • Product Demo
    Build
    Automate
    Level 200: Intermediate
    Software & Internet
    Applicable to All
    GitHub Copilot
    Enterprise - Engineering Leadership
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Continuous Integration + Continuous Deployment (CI/CD)
    Productivity
    Yes
    Visualize engineering effort and Copilot usage with a multi-source data foundation from GitHub
    Measure Copilot adoption, impact, and ROI across teams, workflows, and strategic initiatives
    Deliver exec-ready insights to align engineering work with business priorities and AI investments
    Automate and scale with confidence
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
    All Approved and Published Sessions
    Tuesday, Oct 28
    10:00 a.m. Tuesday, Oct 28
    BuildIn-person
    GitHub Copilot is now a standard tool in every developer's toolbox, but here's the burning question: How do we demonstrate the impact it's having in engineering productivity? In this session, we'll dive into the data from Copilot and show you how to connect it to key engineering metrics. We'll figure out who's using it, and where we're seeing real boosts in engineering velocity, throughput, cycle time, and more.

    , Co-Founder & CEO, Jellyfish

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

11:00 am PDT - Oct 28

  • Breakout Session
    Build
    Automate
    Level 200: Intermediate
    Applicable to All
    Actions
    GitHub Copilot
    VS Code
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Security Professional
    Startups
    Security Leadership
    Educators & Students
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    DevOps and DevSecOps
    Git and code management techniques
    Open source
    Pair programming
    Testing and related practices
    Collaboration
    Tech debt and security debt
    Code quality, review, and completion
    IDE Integration
    Gain insight into how GitHub's own engineers leverage AI tools to accelerate development cycles and deliver greater value to their teams and products
    Discover productivity-boosting techniques for using Copilot as a second brain
    Learn how you can encourage AI adoption within your company
    Build faster, stay in flow
    Developers
    All Approved and Published Sessions
    https://github.com/features/copilot?utm_source=universe-web-page-features-copilot&utm_medium=web&utm_campaign=universe25post
    Tuesday, Oct 28
    11:00 a.m. Tuesday, Oct 28
    BuildIn-person
    As a software engineer on the GitHub Actions core team, Bassem was an early adopter of GitHub Copilot. He quickly evolved his workflow to integrate Copilot because of its clear value add. Two years later, Copilot is an integral part of how he writes and ships features every day at GitHub. From automating coding tasks to security reviews, deep dives, in-depth analyses, and discovering idiomatic ways to refactor a piece of code, Copilot has become what he describes as his "second brain." In this talk, Bassem will share some of his main use cases, and how he uses Copilot to accelerate his workflows, learn, and bring value to his team.

    , Senior Software Engineer, GitHub

    See Details arrow-forward
    Track: Build, Automate
    Delivery Format: In-person, AI summary
  • Product Demo
    Build
    Secure
    Automate
    Level 100: Introductory
    Applicable to All
    Enterprise - Developer
    Open Source Developer or Maintainer
    Security Professional
    In-person
    Recorded
    AI summary
    Open source
    Security (RASP, supply chain, threat modeling, vulnerability detection)
    For developers: How Immutable Releases help you trust the assets you consume in your projects
    For maintainers: How to use Immutable Releases to provide transparency and verifiability for your consumers, and reduce support burden related to asset integrity
    For the open source community: Learn how to streamline supply chain immutability, empower package managers, and enable broader, automated, and verifiable attestations for software assets
    https://youtu.be/5ifrlabINMQ
    Automate and scale with confidence
    What's new from GitHub?
    Open source
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
    All Approved and Published Sessions
    https://docs.github.com/en/code-security/supply-chain-security/understanding-your-software-supply-chain/immutable-releases?utm_source=universe-web-page-docs-codesecurity&utm_medium=web&utm_campaign=universe25post
    Tuesday, Oct 28
    11:00 a.m. Tuesday, Oct 28
    BuildIn-person
    Tag mutability has long been a major pain point for maintainers and consumers alike. But with Immutable Releases, GitHub is introducing a way for maintainers to enforce the immutability of releases and provide cryptographically verifiable attestations for their assets. This session will cover an introductory-to-intermediate explanation and demo of Immutable Releases and illustrate how they can enable greater trust, transparency, and verifiability for everyone consuming release assets.

    , Staff Software Engineer, GitHub

    See Details arrow-forward
    Track: Build, Secure, Automate
    Delivery Format: In-person, Recorded, AI summary
  • Product Demo
    Build
    Automate
    Level 200: Intermediate
    Applicable to All
    GitHub Copilot
    Enterprise - Engineering Leadership
    Enterprise - Developer
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Productivity
    Yes
    Specs become context: Use CoreStory to define structured specs that give Copilot precise guidance and keep developers in flow
    Automate everything: Generate tests, issues, and triage automatically with CoreStory —accelerating delivery without chaos
    Measure velocity: Achieve threefold ROI from Copilot and CoreStory with predictable quality and 20 to 50 virtual developers.
    Build faster, stay in flow
    All Approved and Published Sessions
    Tuesday, Oct 28
    11:00 a.m. Tuesday, Oct 28
    BuildIn-person
    AI coding assistants like GitHub Copilot can accelerate development—but even the most capable AI assistant benefits from clear, structured specifications. In this 15-minute talk, CoreStory reveals how spec-driven development transforms Copilot into a predictable enterprise engine. See how specifications become executable intelligence that enforces 100% test coverage, auto-generates issues, triages bugs, and automates full epics—delivering threefold ROI and the equivalent of 20 to 50 virtual developers through context-aware automation.

    , CEO, CoreStory

    See Details arrow-forward
    Track: Build, Automate
    Delivery Format: In-person, AI summary
  • Sandbox Session
    Build
    Automate
    Level 300: Advanced
    Applicable to All
    Actions
    Projects and Issues
    Enterprise - Engineering Leadership
    Enterprise - Developer
    In-person
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Yes
    Learn how to build an agentic workflow that automatically reviews and analyzes GitHub Issues
    Explore crafting prompts that leverage sentiment, reactions, and comment volume to prioritize issues
    Discover how to extend and tailor AI agents to fit specific team needs
    Build faster, stay in flow
    All Approved and Published Sessions
    Tuesday, Oct 28
    11:00 a.m. Tuesday, Oct 28
    BuildIn-person
    Agentic AI is here. In this interactive workshop, you will learn the essentials of building and customizing your own AI agent. We will design an agent that automatically summarizes and prioritizes GitHub Issues using sentiment, reactions, comment volume, and competitor mentions. You will also learn how to extend its capabilities, trigger it through Slack or other inputs, and integrate it into your workflow with a slash command. By the end, you will have a fully functional agent you can run locally and adapt to your team’s needs.

    , Developer Advocate, Postman

    , Solutions Lead, Postman

    See Details arrow-forward
    Track: Build, Automate
    Delivery Format: In-person
  • Product Demo
    Build
    Level 200: Intermediate
    Software & Internet
    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)
    Monitoring and observability
    Yes
    Sentry and GitHub provide an end-to-end debugging loop: quickly gain context on any issue with Sentry and Seer, Sentry’s AI debugging agent, then use that context in Copilot agent mode to fix the issue.
    Sentry's Seer uses all your errors, logs, stack traces, and tracing to deep research any issue, and can automatically create pull requests in GitHub to safely fix the issue
    This workflow meets developers wherever they are — whether working locally in their editor, responding automatically when issues come into Sentry, or reviewing any new pull request with Sentry's AI Code Review
    Build faster, stay in flow
    All Approved and Published Sessions
    Tuesday, Oct 28
    11:00 a.m. Tuesday, Oct 28
    BuildIn-person
    Workflows aren’t one-size-fits-all — especially now, when AI lets you build and customize the toolchain of your over-engineered dreams. With Sentry and GitHub, you get the flexibility to build how you want and the visibility to fix whatever breaks. In this interactive session, you'll see how bringing Sentry and GitHub Copilot together gives you the next generation of AI-powered debugging. You'll see how tools like Sentry's MCP server can use Seer to bring together all the context from logs, traces, stack traces, and errors to debug and fix the issue locally with GitHub Copilot, or how you can go hands-off and use Seer to automatically create pull requests in GitHub to fix issues automatically. Sentry and GitHub give you the best workflow for debugging issues, and fixing bugs, anywhere your workflow lives.

    , Head of Developer Experience, Sentry

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

12:00 pm PDT - Oct 28

  • Product Demo
    Build
    Automate
    Level 200: Intermediate
    Applicable to All
    GitHub Copilot
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Collaboration
    Yes
    Learn lessons and tips for maximizing GitHub Copilot beyond simple completions
    Learn how to apply GitHub Copilot across the full Recon → Merge workflow
    Prepare for the future of agentic AI automating developer tasks under your guidance
    Build faster, stay in flow
    All Approved and Published Sessions
    Tuesday, Oct 28
    12:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Go beyond basic completions and unlock the full potential of GitHub Copilot. In this fast-paced session, you’ll learn practical tips for better prompts, debugging, validation, and code reviews — plus see how Copilot fits across the Recon → Merge workflow. You'll also get a preview of what’s next with agentic AI, where routine tasks like creating branches, writing tests, and opening pull requests start to run under your guidance. Walk away with actionable strategies to boost productivity today and prepare for tomorrow’s AI-driven development.

    , DevOps Consultant | GitHub Trainer, Xebia

    , Principal Trainer, Xebia USA

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

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

1:00 pm PDT - Oct 28

  • Discussions Lounge
    Build
    Level 100: Introductory
    Business Services
    Computers & Electronics
    Software & Internet
    Discussions
    Projects and Issues
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    In-person
    Git and code management techniques
    Collaboration
    Code quality, review, and completion
    Discover automation strategies from peer experiences that eliminate subjective style debates before the review phase
    Learn curiosity-based language techniques through group discussion and practice to foster collaborative feedback conversations
    Understand how to prioritize feedback effectively using frameworks shared and refined through participant collaboration
    Build faster, stay in flow
    Developers
    All Approved and Published Sessions
    Tuesday, Oct 28
    1:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Code reviews should be safe spaces for learning and collaboration. So why is the process often fraught with fear and anxiety? Join this interactive discussion where you'll share experiences, challenges, and solutions with fellow developers to create more compassionate code review practices. Together, we'll explore practical strategies your teams can implement to reduce review stress and foster psychological safety. Come ready to discuss your current review processes, share what's worked (and what hasn't), and collaborate on solutions around automation, curiosity-based feedback language, and constructive disagreement techniques. You'll leave with actionable ideas informed by diverse team experiences and approaches.

    , Senior Software Engineer, Red Hat

    See Details arrow-forward
    Track: Build
    Delivery Format: In-person
  • Sandbox Session
    Build
    Automate
    Level 200: Intermediate
    Applicable to All
    GitHub Copilot
    VS Code
    Enterprise - Developer
    Open Source Developer or Maintainer
    In-person
    Custom integrations and APIs
    Migration strategies
    Yes
    Learn how to use PayPal’s AI Assistant to accelerate upgrades from legacy integrations to the latest REST APIs and SDKs, reducing migration timelines from weeks to days
    Gain insight into practical migration strategies by working with the AI Assistant to plan, map, convert, and test a real-world JSv5 to JSv6 upgrade
    Discover how PayPal solved upgrade challenges with AI and apply these strategies to your own modernizations — from API migrations to SDK updates and broader integration improvements across your platform
    Build faster, stay in flow
    All Approved and Published Sessions
    Tuesday, Oct 28
    1:00 p.m. Tuesday, Oct 28
    BuildIn-person
    PayPal’s AI Assistant accelerates modernization by guiding developers through upgrades from legacy products to the latest REST APIs and SDKs. It creates migration plans, maps code, and provides testing guidance — all powered by AI. This session highlights how the assistant simplifies the JS v5 to v6 upgrade. In the workshop, attendees will get a chance to try the assistant — featuring the recently launched JS v6 SDK — and see how AI makes migrations faster, smarter, and more impactful.

    , Sr. Manager Product Management, PayPal

    , Staff Software Engineer, PayPal

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

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

2:00 pm PDT - Oct 28

  • Product Demo
    Build
    Level 100: Introductory
    Applicable to All
    GitHub Copilot
    VS Code
    Enterprise - Developer
    Startups
    Educators & Students
    In-person
    AI summary
    Accessibility
    Productivity
    IDE Integration
    Yes
    Discover how physical tools can streamline your Copilot and VS Code workflow and reduce context-switching
    Learn about Logitech’s tangible coding prototypes that bring AI-assisted development into the physical world
    Explore how you can contribute to shaping open, hardware-enhanced dev tools built for flow and flexibility
    Build faster, stay in flow
    All Approved and Published Sessions
    Tuesday, Oct 28
    2:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Tired of typing long prompts into Copilot and losing flow in VS Code? In this session, you'll explore tangible coding — combining AI tools with physical, intuitive inputs to streamline your workflow. See how Logitech is rethinking dev interactions beyond the keyboard to help you stay focused and productive. If you’re curious about hardware-assisted coding or building custom setups, join this session for an interactive look at the future of AI-powered development.

    , SW Senior Product & Partnership manager, Logitech

    See Details arrow-forward
    Track: Build
    Delivery Format: In-person, AI summary
  • Sandbox Session
    Build
    Automate
    Level 200: Intermediate
    Education
    Software & Internet
    Applicable to All
    Actions
    Codespaces
    GitHub Copilot
    Discussions
    VS Code
    Projects and Issues
    Enterprise - Developer
    Open Source Developer or Maintainer
    Educators & Students
    In-person
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Open source
    Collaboration
    Productivity
    Code quality, review, and completion
    Education
    Learn how to use GitHub Copilot to scaffold tutorials, generate educational content, and accelerate the technical writing process
    Discover how to build a GitHub-native workflow that automates demo deployments, tutorial updates, and content maintenance using GitHub Actions and Codespaces
    Understand how to combine GitHub Projects, Actions, and AI tools into a scalable system for managing technical education at scale
    Build faster, stay in flow
    Developers
    Engineering leaders
    All Approved and Published Sessions
    Tuesday, Oct 28
    2:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Creating technical content is often a repetitive, ad hoc process — one that can quickly become a bottleneck for developer advocates, educators, and open source contributors. That's why this session will introduce a scalable, GitHub-powered system for building, maintaining, and automating technical content workflows using GitHub Copilot, Codespaces, and GitHub Actions. There will be practical scaling tips, common pitfalls to keep in mind (such as AI hallucinations and automation overload), and strategies for adapting the system for solo developers, DevRel teams, and open source projects. By the end, you’ll leave with a ready-to-use system for building and maintaining technical content — one that saves time, reduces duplication, and scales with your needs.

    , Senior Developer Advocate, Atlassian

    See Details arrow-forward
    Track: Build, Automate
    Delivery Format: In-person
  • 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
  • Product Demo
    Build
    Automate
    Level 100: Introductory
    Applicable to All
    GitHub Copilot
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Security Professional
    Startups
    Educators & Students
    In-person
    Recorded
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Collaboration
    Productivity
    Education
    Learn how to navigate GitHub using natural language to help find files, issues, and insights faster
    Discover how to take action directly in chat, including creating issues and analyzing images
    Gain insight into new Copilot features that boost productivity and simplify workflows
    https://youtu.be/uXpbkbhaANI
    Build faster, stay in flow
    What's new from GitHub?
    All Approved and Published Sessions
    https://github.com/features/copilot?utm_source=universe-web-page-features-copilot&utm_medium=web&utm_campaign=universe25post
    Tuesday, Oct 28
    2:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Tired of juggling tabs, re-explaining logic, and losing time to context switching? GitHub Copilot is designed to help address these challenges. Beyond writing code, Copilot now helps you manage issues, answer repository questions, and automate repetitive tasks — all through natural language. In this session, we’ll explore how Copilot is being designed to help developers stay focused and productive, and share a preview of upcoming capabilities that aim to simplify common tasks.

    , Principal Design Engineer, GitHub

    , Senior Product Manager, GitHub

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

3:00 pm PDT - Oct 28

  • Product Demo
    Build
    Automate
    Level 100: Introductory
    Applicable to All
    Actions
    GitHub Copilot
    VS Code
    Enterprise - Developer
    Open Source Developer or Maintainer
    Startups
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Automated Infrastructure Deployment
    Cloud-native development
    DevOps and DevSecOps
    Security (RASP, supply chain, threat modeling, vulnerability detection)
    Productivity
    IDE Integration
    Yes
    Learn how to increase velocity with zero config AI native software delivery
    Discover how to store, share and serve software components while vibe coding
    Gain confidence in semantic release management, distribution, and sharing
    Build faster, stay in flow
    All Approved and Published Sessions
    Tuesday, Oct 28
    3:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Get to know JFrog Fly, the first Agentic Repository built for the AI era and tailor-made for the needs of small AI-native teams. With Fly, you get zero-config software delivery. No setup, no scripts, just chat to build and deploy your packages and containers. It works OOTB with your AI-enabled IDE and Kubernetes. You get one place to store, share, and sync your artifacts from dev to prod and manage your software releases based on their semantic context.

    , Developer Advocate, JFrog

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    Track: Build, Automate
    Delivery Format: In-person, AI summary
  • Breakout Session
    Build
    Automate
    Level 200: Intermediate
    Travel, Recreation, and Leisure
    GitHub Copilot
    VS Code
    Enterprise - Engineering Leadership
    Enterprise - Developer
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Pair programming
    Collaboration
    Productivity
    Code quality, review, and completion
    Discover how to design custom prompts, instructions, and agents aligned with domain-specific rules, workflows, and compliance standards
    Learn how United Airlines safely customized GitHub Copilot for regulated systems, while balancing developer velocity with safety, trust, and compliance
    Understand how peer-led rollout strategies accelerated adoption, built trust, and enabled safe Copilot integration across enterprise engineering teams
    Build faster, stay in flow
    Developers
    Engineering leaders
    All Approved and Published Sessions
    Tuesday, Oct 28
    3:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Before Copilot can write a single line of code, you have to build trust. At United Airlines, that trust became the foundation for adoption across engineering teams. They started with small, low-risk tasks to build confidence — then customized Copilot using custom prompts, instructions, and agent mode to meet strict safety and compliance requirements. This session shares the strategies and lessons they used to make Copilot a trusted part of their workflow and how other enterprise teams can do the same in complex or regulated environments.

    , Software Developer, United Airlines

    , Senior Manager - IT Application Development, United Airlines

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

    See Details arrow-forward
    Track: Build
    Delivery Format: In-person, Recorded, AI summary
  • Product Demo
    Build
    Automate
    Level 200: Intermediate
    Applicable to All
    Actions
    GitHub Copilot
    GitHub Enterprise Cloud
    GitHub Enterprise Server
    Marketplace
    Enterprise - Engineering Leadership
    In-person
    AI summary
    Agile practices
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Data (analytics, management, privacy)
    DevOps and DevSecOps
    Productivity
    Yes
    Learn how deep research methodology eliminates 18+ hours of weekly engineering investigation cycles through automated intelligence
    Discover predictive risk assessment that identifies delivery problems weeks before traditional metrics detect them
    Understand workflow optimization using behavioral analytics to reclaim the equivalent of one developer day per sprint
    Automate and scale with confidence
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
    All Approved and Published Sessions
    Tuesday, Oct 28
    3:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Engineering operations teams spend over 18 hours a week in "identify-analyze-execute" cycles—digging through Jira data, burndown charts, and endless interviews to piece together delivery progress. Without deep research applied to software development management, they produce static red/yellow/green PowerPoint summaries that often miss technical and delivery risks until deadlines hit. This session demonstrates how deep research methodology transforms engineering operations, showcasing automated risk analysis, workflow optimization, and requirements assessment.

    , Field CTO, Allstacks

    See Details arrow-forward
    Track: Build, Automate
    Delivery Format: In-person, AI summary
  • Sandbox Session
    Build
    Automate
    Level 300: Advanced
    Applicable to All
    GitHub Copilot
    Enterprise - Developer
    Open Source Developer or Maintainer
    Startups
    In-person
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Productivity
    Tech debt and security debt
    Code quality, review, and completion
    Learn how Copilot coding agent can boost you and your team’s productivity and impact, whether building new features, fixing bugs, or addressing technical debt
    Discover all the ways you can hand tasks to Copilot coding agent and track its progress
    Learn advanced tips and best practices for getting the most from autonomous AI agents
    Build faster, stay in flow
    All Approved and Published Sessions
    Hidden (Manual Add)
    Tuesday, Oct 28
    3:00 p.m. Tuesday, Oct 28
    BuildIn-person
    Thanks to the wonders of multi-core processors, computers can do multiple things at once. When it comes to developers, though, we're stuck doing one thing at a time. But Copilot coding agent changes the game. Hand a task to Copilot and it works in the background—preparing a pull request and tagging you for review. This helps developers work more efficiently. Copilot can work on a bug fix while you’re in a meeting, refactor while you work on new features, or even update documentation while you’re making coffee. This session will start with a short demo showing you how to get started with the agent. Then you'll get advanced tips and best practices, so you can become your team’s resident coding agent expert. Finally, you'll join an interactive lab where you can try Copilot coding agent for yourself and get your questions answered.

    , Principal Product Manager, GitHub

    , Staff Software Engineer, GitHub

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

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

11:00 am PDT - Oct 29

  • Sandbox Session
    Build
    Automate
    Level 300: Advanced
    Applicable to All
    Actions
    GitHub Copilot
    Enterprise - Developer
    Open Source Developer or Maintainer
    In-person
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Automated Infrastructure Deployment
    Continuous Integration + Continuous Deployment (CI/CD)
    DevOps and DevSecOps
    Productivity
    Learn and implement techniques for advanced GitHub Actions development with interactive demos and code samples
    Discover how to create secure, AI-enhanced, enterprise-scale workflows and pick up security best practices for AI-powered Actions
    Get practical blueprints for building intelligent, adaptable pipelines using GitHub’s latest AI capabilities
    Automate and scale with confidence
    What's new from GitHub?
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
    All Approved and Published Sessions
    11:00 a.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    GitHub Actions isn't just for CI — it's your automation superpower. In this session, you'll learn to build creative workflows that solve complex challenges, then supercharge them with AI using GitHub Models. From advanced development techniques to intelligent pipelines that think and adapt, you'll discover how to automate and scale confidently with AI-enhanced workflows.

    , Senior Solutions Engineer, GitHub

    , Strategic Solutions Engineer, GitHub

    See Details arrow-forward
    Track: Build, Automate
    Delivery Format: In-person
  • Breakout Session
    Build
    Automate
    Level 200: Intermediate
    Manufacturing
    GitHub Copilot
    Enterprise/Admin
    Issues
    Enterprise - Engineering Leadership
    Enterprise - Developer
    In-person
    Agile practices
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    DevOps and DevSecOps
    Software Engineering
    Collaboration
    Learn how to build community into your developer experience strategy, using events, forums, and playful rituals (with GitHub as a collaboration hub) to foster belonging and shared identity
    Learn how to make collaboration visible and reusable, applying practices like innersourcing and documentation, with GitHub’s repos and pull requests as enablers
    Embrace generative AI in coding, exploring how GitHub Copilot and AI tools can empower developers to move faster, focus on creativity, and reimagine day-to-day engineering
    Automate and scale with confidence
    Engineering leaders
    Manufacturing
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
    All Approved and Published Sessions
    Hidden (Manual Add)
    11:00 a.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    How do you grow a high‑trust developer culture at scale, especially in a company where creativity and play are part of the DNA? At The LEGO Group, developer experience isn’t just a platform or a toolkit; it’s a community practice. Rasmus shares how intentional rituals, innersource patterns, and a focus on well‑being turned fragmented efforts into a cohesive, empowered engineering ecosystem. You’ll see how playful practices can coexist with disciplined engineering standards, and how shared ownership increases reuse and lowers onboarding friction. Walk away with adaptable ideas to strengthen belonging, accelerate knowledge flow, and help your own engineers feel connected, motivated, and proud of what they build.

    , Head of Cloud & Developer Experience, the LEGO Group

    See Details arrow-forward
    Track: Build, Automate
    Delivery Format: In-person
  • 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
  • Discussions Lounge
    Build
    Level 100: Introductory
    Computers & Electronics
    Codespaces
    GitHub Copilot
    VS Code
    Enterprise - Developer
    Educators & Students
    In-person
    Accessibility
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Pair programming
    Learn from peers how AI tools can accelerate cross-domain learning and help developers confidently pivot between technical specialties
    Explore through group discussion the evolving developer identity and discover how others are embracing human strengths like creativity and problem-framing
    Discover collaborative strategies for achieving flow state with AI tools by sharing what's working across different development workflows and contexts
    Build faster, stay in flow
    Open source
    Developers
    All Approved and Published Sessions
    11:00 a.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    Join April Gittens, principal cloud advocate at Microsoft, and fellow developers in an interactive discussion about how AI is reshaping our professional identities. Come ready to share your own experiences with AI tools and explore how different developers are navigating role changes, skill evolution, and workflow adaptations. Together, we'll discuss practical strategies for evolving alongside AI, share approaches for using AI-powered tools to accelerate learning, and explore how to maintain creativity and purpose in an AI-augmented world. Bring your questions, challenges, and successes — you'll learn from diverse developer experiences and leave with actionable insights from your peers.

    , Principal Cloud Advocate, AI, Microsoft

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

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
  • Panel Discussion
    Build
    Automate
    Level 100: Introductory
    Applicable to All
    Actions
    GitHub Copilot
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    In-person
    AI summary
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    Open source
    Collaboration
    Learn how to use AI prompts and workflows to streamline open source license and security reviews
    Discover how GitHub’s OSPO automates contribution and sponsorship analysis with AI
    Understand how to adopt and adapt shared AI tooling in your own open source programs
    Automate and scale with confidence
    Open source
    Developers
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
    All Approved and Published Sessions
    12:00 p.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    What does it look like when an open source program office (OSPO) brings AI into their day-to-day work? In this panel, OSPO leaders from GitHub, Cisco, Amazon, and Bloomberg will share how they’re using AI workflows to automate open source tasks like license and security reviews, sponsorship discovery, and community analysis. We’ll also highlight a public talk openly, develop openly (TODO) group hosted repository of prompts, workflows, and tools built with contributions from OSPOs. Attendees will hear real examples from across the industry and leave with ready-to-use ideas to try in their own programs — no machine learning experience required.

    , Director, Open Source Program Office, GitHub

    , Principal Open Source Engineer, Amazon

    , Director of Open Source Software Engineering, Cisco

    , Open Source Program Office, Bloomberg

    See Details arrow-forward
    Track: Build, Automate
    Delivery Format: In-person, AI summary
  • Sandbox Session
    Build
    Automate
    Level 200: Intermediate
    Applicable to All
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Educators & Students
    In-person
    Agile practices
    AI (Agentic AI, Generative AI, Fine-tuned modeling, Models)
    DevOps and DevSecOps
    Collaboration
    Productivity
    Code quality, review, and completion
    Yes
    Real use cases showing GitHub and Atlassian's integration benefits
    See how Atlassian’s Rovo Dev Agent uses AI to streamline the software development lifecycle (SDLC)
    Get practical experience with real-world use cases, from planning to deployment
    Automate and scale with confidence
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.png
    All Approved and Published Sessions
    12:00 p.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    Discover how Atlassian’s new AI-powered Rovo Dev Agent is transforming the software development lifecycle (SDLC) from planning to production. In this interactive session, explore real-world use cases where Rovo Dev Agent streamlines development workflows, including practical examples of how integrating GitHub and Atlassian tools delivers tangible benefits for teams. Get ample practice with Rovo Dev Agent in a guided sandbox environment, as we walk through how our intelligent developer agent supports various stages of the SDLC, from planning, writing and reviewing code, to deployment.

    , Senior Technical Evangelist, Atlassian

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

1:00 pm PDT - Oct 29

  • Breakout Session
    Build
    Secure
    Automate
    Level 200: Intermediate
    Applicable to All
    Actions
    GitHub Advanced Security
    GitHub Copilot
    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)
    Platform engineering
    Learn how to migrate any legacy bash script with Copilot agent mode
    Discover how to secure your Actions workflows with GitHub Advanced Security
    Gain insights into GitHub Actions' advanced features, like matrix jobs and attestations
    Build faster, stay in flow
    What's new from GitHub?
    Developers
    All Approved and Published Sessions
    1:00 p.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    Gather, heroes of coding! For too long ancient bash scripts haunted your repositories, lurking in the shadows of your CI/CD castles. Are you ready to venture in the Land of Automation? This session, directed in the form of an epic quest, will showcase best practices for building robust GitHub Actions workflows with strong supply chain security — empowering teams to modernize with automation and free developers from repetitive work. By leveraging GitHub Copilot, you'll discover how to fix execution errors, implement new pipeline jobs, and streamline your CI/CD, all while enhancing security with GitHub Advanced Security. This powerful combination of Copilot, GitHub Actions, and GitHub Advanced Security puts the developer experience front and center, transforming your automation workflows for today's fast-paced development landscape.

    , DevOps Consultant, Eficode

    , Solutions Engineer, GitHub

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