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

22 sessions

10:00 am PDT - Oct 28

  • 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

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

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    Track: Build, Automate
    Delivery Format: In-person, 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

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    Track: Build
    Delivery Format: In-person

2:00 pm PDT - Oct 28

  • 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

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

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

3:00 pm PDT - Oct 28

  • 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

4:00 pm PDT - Oct 28

10:00 am PDT - Oct 29

11:00 am PDT - Oct 29

  • 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

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    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

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    Track: Build
    Delivery Format: In-person
  • Ship & Tell
    Retail
    In-person
    Developers
    Retail
    Ship & Tell
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-keynote-large_1755504861522001HU9w.png
    All Approved and Published Sessions
    Hidden (Manual Add)
    11:00 a.m. Wednesday, Oct 29
    Wednesday, Oct 29
    In-person
    Heard how ASOS is rethinking developer productivity with GitHub Copilot? Join the team for an open Q&A to go deeper on their AI journey — from building confidence in adoption to driving real impact across engineering teams. Whether you’re exploring Copilot, scaling AI safely, or just curious how others are making it stick, bring your questions and learn directly from the engineers leading the way.

    , Distinguished Engineer, ASOS

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    Delivery Format: In-person

12:00 pm PDT - Oct 29

  • 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

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

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

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

3:00 pm PDT - Oct 29

  • Breakout Session
    Build
    Secure
    Level 100: Introductory
    Applicable to All
    GitHub Advanced Security
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Security Professional
    Security Leadership
    In-person
    AI summary
    DevOps and DevSecOps
    Open source
    Security (RASP, supply chain, threat modeling, vulnerability detection)
    Governance and compliance
    How to interpret and understand licenses on a software project
    The open source licenses that you should be wary of using
    How to mitigate the business risk of using OSS in your organization
    Secure every commit
    Open source
    Developers
    https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.png
    All Approved and Published Sessions
    Wednesday, Oct 29
    3:00 p.m. Wednesday, Oct 29
    BuildIn-person
    These days, every codebase relies on open source software (OSS). From testing tools to utility libraries and whole frameworks, using OSS accelerates development velocity and lets you focus on the parts of your app that really matter. But every package you use comes with its own license, and some licenses can introduce compliance or legal risk in unexpected ways. What are licenses, how do they work, and how can you navigate the wild seas of OSS licensing to make the best use of open source, while still keeping your project compliant and secure? In this session, we'll talk through all of this and more.

    , Senior Product Manager, GitHub

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    Track: Build, Secure
    Delivery Format: In-person, AI summary
  • Product Demo
    Build
    Automate
    Level 100: Introductory
    Applicable to All
    Actions
    Enterprise - Developer
    Open Source Developer or Maintainer
    In-person
    Recorded
    AI summary
    Continuous Integration + Continuous Deployment (CI/CD)
    Security (RASP, supply chain, threat modeling, vulnerability detection)
    Productivity
    Learn five practical GitHub Actions workflows that eliminate repetitive tasks like CI/CD, security checks, and dependency updates
    See real-world examples of how teams automate everything from code reviews to project management with actionable patterns you can copy
    Walk away with specific techniques to streamline your development workflow and spend more time coding and less time on manual processes
    https://youtu.be/2p1D29zJdBI
    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
    https://github.com/features/actions?utm_source=universe-web-page-features-actions&utm_medium=web&utm_campaign=universe25post
    Wednesday, Oct 29
    3:00 p.m. Wednesday, Oct 29
    BuildIn-person
    GitHub Actions has revolutionized the way developers automate workflows, streamline processes, and supercharge their development cycle. Whether you're a seasoned pro or just getting started with automation, this talk will explore five powerful ways to leverage GitHub Actions for efficiency, reliability, and innovation. You'll uncover into key use cases — including CI/CD, security automation, dependency management, project organization, and beyond — to learn how GitHub Actions can transform your workflow. Expect practical insights, real-world examples, and actionable tips to make the most of this game-changing feature. Come discover how to unlock the full potential of automation with GitHub Actions!

    , Senior Developer Advocate, GitHub

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    Track: Build, Automate
    Delivery Format: In-person, Recorded, AI summary
  • Sandbox Session
    Build
    Level 100: Introductory
    Business Services
    Computers & Electronics
    Consumer Services
    Education
    Media & Entertainment
    Software & Internet
    GitHub Copilot
    Enterprise - Developer
    Open Source Developer or Maintainer
    Educators & Students
    In-person
    Open source
    Pair programming
    Productivity
    Code quality, review, and completion
    Education
    Learn how to apply GitHub Copilot to real-time gameplay mechanics in Unity
    Understand how AI can help debug timing issues and improve input responsiveness
    Discover how to use GitHub Copilot not just for boilerplate, but to support systems architecture
    Build faster, stay in flow
    Developers
    All Approved and Published Sessions
    Wednesday, Oct 29
    3:00 p.m. Wednesday, Oct 29
    BuildIn-person
    What if your AI pair programmer could help you polish your player’s jump mechanics, time moving platforms, outsmart bot enemies, and architect gameplay logic? In this talk, you’ll hear how GitHub Copilot helped shape the development of a feature-rich 2D platformer in Unity - offering support on everything from in-game event handling to game state management to bug-prone edge cases. Whether you build games or distributed systems, this session will show you how GitHub Copilot can be more than just a code generator - it can be your thinking partner in chaos.

    , Software Development Engineer, Mobile Premier League

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    Track: Build
    Delivery Format: In-person
  • Product Demo
    Build
    Automate
    Level 100: Introductory
    Applicable to All
    Actions
    Projects and Issues
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Startups
    In-person
    AI summary
    Agile practices
    Continuous Integration + Continuous Deployment (CI/CD)
    Productivity
    Tech debt and security debt
    Learn how to structure and manage sprints directly within GitHub Projects using boards and table views
    Discover ways to automate issue tracking and project updates using GitHub Actions and custom workflows
    Understand how to unify multi-repo planning and cross-functional collaboration using a single GitHub Projects board
    Build faster, stay in flow
    Open source
    Developers
    Engineering leaders
    All Approved and Published Sessions
    Wednesday, Oct 29
    3:00 p.m. Wednesday, Oct 29
    BuildIn-person
    GitHub Projects is more than just a kanban board — it’s the hidden gem powering our multi-repo, multi-product workflow. In this session, we'll share how we run AI-driven experiences, AR activations, and full-stack web apps using GitHub Projects to track work, automate updates, and replace third-party tools. Whether you're flying solo or leading a team, this talk will show you how to unlock the project management power already living inside your repo.

    , Co-founder, HacktivLabs

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

4:00 pm PDT - Oct 29

  • Breakout Session
    Build
    Level 200: Intermediate
    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)
    Continuous Integration + Continuous Deployment (CI/CD)
    Containerized applications
    Open source
    Productivity
    Learn how to overcome learning curves for new technologies using GitHub Copilot
    Discover how to effectively use GitHub Copilot as a coding and learning companion
    Understand patterns for scaling solo projects through AI assistance
    Build faster, stay in flow
    Open source
    Developers
    All Approved and Published Sessions
    4:00 p.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    Imagine learning to fly while building an airplane. That was Arnaud's reality when creating a platform to democratize open source software with zero Rust experience. You’ll learn how GitHub Copilot became his literal copilot, transforming learning curves into tailwinds. From crafting a multi-language desktop app to curating over 170 one-click deployable stacks, you'll discover how AI amplified his capabilities and leave with battle-tested strategies to supercharge your own development velocity.

    , Founder, Builder, CODENAME

    See Details arrow-forward
    Track: Build
    Delivery Format: In-person, AI summary
  • Breakout Session
    Build
    Level 200: Intermediate
    Education
    Media & Entertainment
    Software & Internet
    Applicable to All
    Codespaces
    Projects and Issues
    Enterprise - Engineering Leadership
    Enterprise - Developer
    Open Source Developer or Maintainer
    Startups
    In-person
    AI summary
    Git and code management techniques
    Open source
    Collaboration
    Productivity
    Code quality, review, and completion
    Learn how to undo Git mishaps with tools like reflog and rerere — so you always land on your feet
    Discover how to clone just what you need with sparse checkouts and partial clones
    Speed up your workflow with clever Git tricks that keep you fast, flexible, and frustration-free
    Build faster, stay in flow
    Open source
    Developers
    All Approved and Published Sessions
    4:00 p.m. Wednesday, Oct 29
    Wednesday, Oct 29
    BuildIn-person
    Frontend development at scale can feel like herding cats — messy rebases, oversized monorepos, and disappearing commits at every turn. But Git has some hidden tricks that can help you land on your feet. In this fast-paced, story-driven session, we’ll use the metaphor of a cat’s nine lives to explore Git’s lesser-known features: sparse checkouts, partial clones, commit-graph optimizations, reflog, and more. Along the way, you’ll pick up practical tips (and a few laughs) to help you tame Git chaos and keep your projects running smoothly.

    , Software Engineer, Independent

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