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!!
80 sessions
10:00 am PDT - Oct 28
- Breakout SessionBuildAutomateLevel 200: IntermediateFinancial ServicesGovernmentHealthcare, Pharmaceuticals & BiotechRetailSoftware & InternetTelecommunicationsActionsGitHub Advanced SecurityCodespacesGitHub CopilotDependabotGitHub Secret ProtectionGitHub Code SecurityGitHub Copilot WorkspaceVS CodeGitHub SparkProjects and IssuesEnterprise - Engineering LeadershipEnterprise - DeveloperSecurity LeadershipIn-personAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Cloud-native developmentTech debt and security debtCode quality, review, and completionGovernance and complianceUnderstand how AI agents integrate securely within enterprise SDLC processesDiscover practical methods for rapidly prototyping and planning with AI-powered toolsSee how these tools collaborate in real-world scenarios to streamline development tasksAutomate and scale with confidenceWhat's new from GitHub?Agentic AI + Model Context Protocol (MCP)Financial ServicesManufacturingHealthcare & Life Scienceshttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.pngAll Approved and Published Sessionshttps://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=universe25postTuesday, Oct 2810:00 a.m. Tuesday, Oct 28
, Sr. Director, Product Leads, GitHub
, VP, Product Management, GitHub
Track: Build, AutomateDelivery Format: In-person, AI summary - Breakout SessionAutomateLevel 200: IntermediateApplicable to AllActionsGitHub Advanced SecurityGitHub CopilotDependabotGitHub Secret ProtectionGitHub Code SecurityGitHub Enterprise CloudVS CodeProjects and IssuesEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerStartupsEducators & StudentsIn-personAI summaryAccessibilityAgile practicesAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Cloud-native developmentContinuous Integration + Continuous Deployment (CI/CD)Containerized applicationsDevOps and DevSecOpsGit and code management techniquesOpen sourcePair programmingCollaborationProductivityPlatform engineeringCode quality, review, and completionCustom integrations and APIsEducationMigration strategiesIDE IntegrationDiscover enterprise philosophies that can help to transform siloed teams into a thriving, cross-functional community that embraces AI-native developmentLearn strategies to amplify developer voices and create a developer-centric CI/CD approach. Experience the synergy of empowered teams crafting best practices to boost organizational efficiencyExplore community-driven DevOps techniques for repository and pipeline migrations. Integrate Copilot to meet security needs, increase velocity, and maintain productivity with zero disruptionsAutomate and scale with confidenceEngineering leadersManufacturinghttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.pngAll Approved and Published SessionsTuesday, Oct 2810:00 a.m. Tuesday, Oct 28Join Kal Schumacher, cloud engineer at Duke Energy, as he shares the company's journey from siloed teams to a unified developer community. He'll explore how this community made it possible to streamline a large-scale migration (from a variety DevOps tools), accelerate AI adoption, and fully adopt the GitHub platform. As he walks through the team's transformative actions, you'll learn how to build a collaborative ecosystem that empowers developers through innersource practices, cross-functional team collaboration, and deep engagement with the GitHub platform.
, Senior Cloud Engineer, Duke Energy Corp.
Track: AutomateDelivery Format: In-person, AI summary - Product DemoSecureLevel 300: AdvancedApplicable to AllGitHub Enterprise CloudEnterprise - Engineering LeadershipSecurity ProfessionalSecurity LeadershipIn-personAI summarySecurity (RASP, supply chain, threat modeling, vulnerability detection)ProductivityPlatform engineeringGovernance and complianceLearn how to eliminate static credentials with short-lived SSH certificates to simplify access and reduce riskDiscover how GitHub integrates with identity providers to issue secure, ephemeral access on demandUnderstand how to scale secure access across teams without manually rotating tokens or distributing keysSecure every commitSecurity professionalshttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.pngAll Approved and Published SessionsTuesday, Oct 2810:00 a.m. Tuesday, Oct 28Static credentials like Secure Shell (SSH) keys and personal access tokens (PATs) can create hidden security risks and headaches for teams. But there’s a better way. In this session, you’ll learn how to move beyond static credentials by using short-lived, ephemeral SSH certificates. We’ll show you how GitHub, combined with your identity provider and a certificate-issuing service, can eliminate the need for long-lived tokens — making access simpler, safer, and more scalable. You'll gain practical insights on how to improve your security posture, streamline credential management, and give developers a smoother, more secure experience.
, Senior Staff Engineer, Pure Storage
Track: SecureDelivery Format: In-person, AI summary - Product DemoBuildAutomateLevel 200: IntermediateSoftware & InternetApplicable to AllGitHub CopilotEnterprise - Engineering LeadershipIn-personAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Continuous Integration + Continuous Deployment (CI/CD)ProductivityYesVisualize engineering effort and Copilot usage with a multi-source data foundation from GitHubMeasure Copilot adoption, impact, and ROI across teams, workflows, and strategic initiativesDeliver exec-ready insights to align engineering work with business priorities and AI investmentsAutomate and scale with confidencehttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.pngAll Approved and Published SessionsTuesday, Oct 2810:00 a.m. Tuesday, Oct 28GitHub 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
Track: Build, AutomateDelivery Format: In-person, AI summary
11:00 am PDT - Oct 28
- Main StageAutomateLevel 100: IntroductoryEnterprise - Engineering LeadershipIn-personRecordedAI summaryhttps://youtu.be/7YEi5SoVzNQAutomate and scale with confidenceEngineering leadershttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.pngAll Approved and Published SessionsHidden (Manual Add)Tuesday, Oct 2811:00 a.m. Tuesday, Oct 28Agentic AI isn’t a trend - it’s a shift in how software is created. The next wave of innovation won’t come just from developers, but from the collaboration between humans and agents. In this session, GitHub’s Chief Product Officer Mario Rodriguez shares how we’re expanding GitHub’s AI-powered Developer Platform for this new, AI-native SDLC. Through live demos, you’ll see how teams can move at AI speed while staying secure, visible, and in control.
, Chief Product Officer, GitHub
, VP, Product Management, GitHub
, Senior Product Manager, GitHub
Track: AutomateDelivery Format: In-person, Recorded, AI summary - Breakout SessionSecureAutomateLevel 200: IntermediateFinancial ServicesGitHub Advanced SecurityEnterprise - Engineering LeadershipSecurity ProfessionalSecurity LeadershipIn-personAI summarySecurity (RASP, supply chain, threat modeling, vulnerability detection)Threat ModelingVulnerability DetectionLearn deployment strategies for rolling out secret protection across thousands of repositoriesDiscover automation patterns for prioritizing and remediating secrets at enterprise scaleUnderstand how to "get clean" and build “stay clean” workflows that enforce guardrails without slowing developers downSecure every commitSecurity professionalsFinancial Serviceshttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.pngAll Approved and Published SessionsTuesday, Oct 2811:00 a.m. Tuesday, Oct 28Managing secrets is one of the most universal and pressing challenges in software security. In this session, Commonwealth Bank of Australia (CBA) and GitHub will share how they partnered to strengthen CBA’s security posture by implementing GitHub Secret Protection across thousands of repositories and developers. You’ll hear how they designed strategies for large-scale rollout, built “get clean” processes to effectively prioritize and remediate secrets, and established “stay clean” workflows that ensure secrets can’t be pushed into production—all without slowing developers down. Walk away with proven strategies and real-world lessons for implementing enterprise secret management that works, transforming a critical security challenge into a sustainable, developer-friendly practice.
, Director of Software Engineering, GitHub
, General Manager Engineering Platform, Commonwealth Bank of Australia
, Executive Manager of Engineering, Commonwealth Bank of Australia
Track: Secure, AutomateDelivery Format: In-person, AI summary - Product DemoBuildLevel 200: IntermediateSoftware & InternetApplicable to AllGitHub CopilotEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerStartupsIn-personAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Monitoring and observabilityYesSentry 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 issueThis 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 ReviewBuild faster, stay in flowAll Approved and Published SessionsTuesday, Oct 2811:00 a.m. Tuesday, Oct 28Workflows 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
Track: BuildDelivery Format: In-person, AI summary
12:00 pm PDT - Oct 28
- Product DemoBuildAutomateLevel 200: IntermediateApplicable to AllGitHub CopilotEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerIn-personAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)CollaborationYesLearn lessons and tips for maximizing GitHub Copilot beyond simple completionsLearn how to apply GitHub Copilot across the full Recon → Merge workflowPrepare for the future of agentic AI automating developer tasks under your guidanceBuild faster, stay in flowAll Approved and Published SessionsTuesday, Oct 2812:00 p.m. Tuesday, Oct 28Go 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
Track: Build, AutomateDelivery Format: In-person, AI summary - Product DemoBuildLevel 100: IntroductoryAll / Cross-IndustryBusiness ServicesComputers & ElectronicsConsumer ServicesEducationEnergy & UtilitiesFinancial ServicesFood & Beverage ServicesGovernmentHealthcare, Pharmaceuticals & BiotechManufacturingMedia & EntertainmentNon-ProfitReal Estate & ConstructionRetailSoftware & InternetTelecommunicationsTransportation & StorageTravel, Recreation, and LeisureWholesale & DistributionApplicable to AllFood & Beverage ManufacturingAgriculture & MiningGitHub CopilotEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerEducators & StudentsIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Pair programmingSoftware EngineeringProductivityShip code faster by delegating complex, multi-step workflows to an autonomous agent that plans, code, tests, and iterates — all from your terminalStay 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 interactionWith your existing Copilot paid subscription, you can start seamlessly with the only GitHub-native CLI agenthttps://youtu.be/82jciNezDMYBuild faster, stay in flowWhat's new from GitHub?Agentic AI + Model Context Protocol (MCP)All Approved and Published SessionsHidden (Manual Add)https://github.com/features/copilot/cli?utm_source=universe-web-page-features-copilot-cli&utm_medium=web&utm_campaign=universe25postTuesday, Oct 2812:00 p.m. Tuesday, Oct 28Transform 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
Track: BuildDelivery Format: In-person, Recorded, AI summary - Main StageBuildSecureAutomateLevel 100: IntroductoryAll / Cross-IndustryBusiness ServicesComputers & ElectronicsConsumer ServicesEducationEnergy & UtilitiesFinancial ServicesFood & Beverage ServicesGovernmentHealthcare, Pharmaceuticals & BiotechManufacturingMedia & EntertainmentNon-ProfitReal Estate & ConstructionRetailSoftware & InternetTelecommunicationsTransportation & StorageTravel, Recreation, and LeisureWholesale & DistributionApplicable to AllFood & Beverage ManufacturingGitHub CopilotVS CodeEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerSecurity ProfessionalStartupsSecurity LeadershipEducators & StudentsIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Continuous Integration + Continuous Deployment (CI/CD)Software EngineeringCode quality, review, and completionTurn GitHub Copilot into your AI workbench using VS Code and the AI Toolkit for integrated chat, tools, and adaptive agentsLearn how to convert specs into working code with Spec Kit and build multi-agent workflows using the open source Agent FrameworkDiscover how to use Azure AI Foundry with built-in observability, tracing, and safety to confidently deploy secure, scalable AI apps and multi-agent workflowshttps://youtu.be/ob-TOPfQmbkBuild faster, stay in flowAgentic AI + Model Context Protocol (MCP)All Approved and Published SessionsHidden (Manual Add)Tuesday, Oct 2812:00 p.m. Tuesday, Oct 28In this demo-driven session, see how VS Code and the AI Toolkit turn GitHub Copilot into your AI workbench—where chat, tools, and agents adapt to your flow. We’ll use Spec Kit to go from spec to working code, then build multi‑agent workflows with the open‑source Agent Framework and deploy to Azure AI Foundry with observability, tracing, and safety built in. From first commit to production, you'll learn patterns to ship secure, scalable intelligent apps and multi‑agent workflows.
, CVP, Apps & Agents + 1ES GM, Microsoft
, Principal Manager, Microsoft
, Principal Program Manager, Microsoft
Track: Build, Secure, AutomateDelivery Format: In-person, Recorded, AI summary
1:00 pm PDT - Oct 28
- Main StageAutomateLevel 200: IntermediateBusiness ServicesComputers & ElectronicsConsumer ServicesEnergy & UtilitiesFinancial ServicesFood & Beverage ServicesGovernmentHealthcare, Pharmaceuticals & BiotechManufacturingMedia & EntertainmentNon-ProfitReal Estate & ConstructionRetailSoftware & InternetTelecommunicationsTransportation & StorageTravel, Recreation, and LeisureWholesale & DistributionApplicable to AllFood & Beverage ManufacturingAgriculture & MiningGitHub CopilotEnterprise - Engineering LeadershipIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Data (analytics, management, privacy)Monitoring and observabilityProductivityUnderstand how Copilot is being used within your organization by interpreting the metrics dashboard to identify usage patterns, recognize which teams are effectively leveraging the tool, and pinpoint opportunities for improvementDiscover strategies for engaging with teams that show low utilization and learn best practices from high-performing groups. Get practical approaches for helping your entire organization extract maximum value from Copilot through targeted interventions and knowledge sharingLearn how to use Copilot metrics to demonstrate tangible business impact to stakeholders. Develop compelling ROI narratives that connect AI-assisted development to business outcomes including developer productivity, code quality, and innovation accelerationhttps://youtu.be/FWsAQpP6_kwAutomate and scale with confidenceWhat's new from GitHub?Engineering leadersFinancial ServicesManufacturingHealthcare & Life Scienceshttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.pngAll Approved and Published SessionsTuesday, Oct 281:00 p.m. Tuesday, Oct 28Your GitHub Copilot deployment is live — now what? This session explains how engineering leaders transform AI adoption from "nice to have" to "business critical" using GitHub’s Copilot Metrics to provide the foundation for strategic decision-making around your AI investments. You'll discover the refreshed Copilot Metrics dashboard that delivers comprehensive usage insights you can act on today. Learn how to interpret these metrics to understand adoption patterns, identify high-performing teams, and recognize opportunities to increase Copilot utilization across your organization. Learn real strategies for three essential business outcomes: measuring effective usage, driving broader adoption, and demonstrating tangible business value. You'll also explore practical approaches to help your teams maximize their Copilot experience and how to translate usage data into compelling ROI narratives that secure ongoing AI investment.
, VP, Engineering, GitHub
, Senior Director of Enginering, GitHub
Track: AutomateDelivery Format: In-person, Recorded, AI summary - Product DemoBuildLevel 300: AdvancedApplicable to AllGitHub CopilotVS CodeEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerStartupsIn-personAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Automated Infrastructure DeploymentMigration strategiesLearn how GitHub Copilot streamlines app modernization for Java and .NET platformsSee how AI agents can analyze codebases to suggest upgrade paths and fixesDiscover how developers can stay in control while using AI to automate remediation tasksBuild faster, stay in flowAgentic AI + Model Context Protocol (MCP)All Approved and Published SessionsTuesday, Oct 281:00 p.m. Tuesday, Oct 28In 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
Track: BuildDelivery Format: In-person, AI summary
2:00 pm PDT - Oct 28
- Product DemoBuildLevel 100: IntroductoryApplicable to AllGitHub CopilotVS CodeEnterprise - DeveloperStartupsEducators & StudentsIn-personAI summaryAccessibilityProductivityIDE IntegrationYesDiscover how physical tools can streamline your Copilot and VS Code workflow and reduce context-switchingLearn about Logitech’s tangible coding prototypes that bring AI-assisted development into the physical worldExplore how you can contribute to shaping open, hardware-enhanced dev tools built for flow and flexibilityBuild faster, stay in flowAll Approved and Published SessionsTuesday, Oct 282:00 p.m. Tuesday, Oct 28Tired 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
Track: BuildDelivery Format: In-person, AI summary - Breakout SessionSecureLevel 200: IntermediateComputers & ElectronicsFinancial ServicesGovernmentHealthcare, Pharmaceuticals & BiotechSoftware & InternetApplicable to AllActionsVS CodeEnterprise - DeveloperSecurity ProfessionalSecurity LeadershipIn-personAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Security (RASP, supply chain, threat modeling, vulnerability detection)Discover practical strategies and tools to simplify and strengthen security for both local and remote MCP serversLearn 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 infrastructuresSecure every commitAgentic AI + Model Context Protocol (MCP)DevelopersSecurity professionalsFinancial Serviceshttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.pngAll Approved and Published SessionsTuesday, Oct 282:00 p.m. Tuesday, Oct 28Model 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
Track: SecureDelivery Format: In-person, AI summary - Main StageBuildSecureAutomateLevel 200: IntermediateManufacturingActionsGitHub Advanced SecurityGitHub CopilotGitHub Enterprise CloudEnterprise - Engineering LeadershipEnterprise - DeveloperSecurity ProfessionalSecurity LeadershipIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Continuous Integration + Continuous Deployment (CI/CD)DevOps and DevSecOpsSecurity (RASP, supply chain, threat modeling, vulnerability detection)CollaborationProductivityGovernance and complianceMigration strategiesLearn how GM migrated 150k repositories across almost 20k developers in 18 months, without disrupting workflows through strategic automation frameworksDiscover GM's approach to consolidating multiple vendor tools into a unified GitHub ecosystem while maintaining developer productivity and securityExplore how AI-powered code reviews work in safety-critical automotive environments where code quality directly impacts human safetyhttps://www.youtube.com/watch?v=rYN3tCHryisAutomate and scale with confidenceEngineering leadersSecurity professionalsManufacturinghttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.pngAll Approved and Published SessionsHidden (Manual Add)Tuesday, Oct 282:00 p.m. Tuesday, Oct 28With over a century of engineering excellence in their rearview mirror, General Motors is building its next chapter on GitHub’s integrated developer platform. This session explores how they transitioned from a fragmented development environment to a modern, scalable ecosystem that streamlines operations, boosts developer productivity and collaboration, and lays the foundation for sustained digital innovation. In this talk, GM will walk through the roadmap behind their modernization journey. They’ll share the cultural and technical milestones they achieved along the way, and how they're future-proofing software development on GitHub — from secure code to AI-assisted workflows.
, Manager, Software Development, General Motors
, Software Engineer, General Motors
Track: Build, Secure, AutomateDelivery Format: In-person, Recorded, AI summary - Product DemoBuildLevel 100: IntroductoryApplicable to AllGitHub CopilotEnterprise - Engineering LeadershipEnterprise - DeveloperStartupsIn-personAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Code quality, review, and completionLearn how Copilot code review has evolved from static suggestions to dynamic, context-aware collaborationGain practical tips for adopting Copilot code review in enterprise and team workflowsJoin the growing number of developers using Copilot code review — and explore how to get started in your own workflows.Build faster, stay in flowWhat's new from GitHub?Agentic AI + Model Context Protocol (MCP)All Approved and Published Sessionshttps://github.com/features/code-review?utm_source=universe-web-page-features-code-reviews&utm_medium=web&utm_campaign=universe25postTuesday, Oct 282:00 p.m. Tuesday, Oct 28This 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
Track: BuildDelivery Format: In-person, AI summary - Product DemoBuildAutomateLevel 100: IntroductoryApplicable to AllGitHub CopilotEnterprise - Engineering LeadershipEnterprise - DeveloperSecurity ProfessionalStartupsEducators & StudentsIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)CollaborationProductivityEducationLearn how to navigate GitHub using natural language to help find files, issues, and insights fasterDiscover how to take action directly in chat, including creating issues and analyzing imagesGain insight into new Copilot features that boost productivity and simplify workflowshttps://youtu.be/uXpbkbhaANIBuild faster, stay in flowWhat's new from GitHub?All Approved and Published Sessionshttps://github.com/features/copilot?utm_source=universe-web-page-features-copilot&utm_medium=web&utm_campaign=universe25postTuesday, Oct 282:00 p.m. Tuesday, Oct 28Tired 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
Track: Build, AutomateDelivery Format: In-person, Recorded, AI summary
3:00 pm PDT - Oct 28
- Product DemoSecureLevel 200: IntermediateApplicable to AllActionsCodespacesDependabotGitHub Code SecurityEnterprise - DeveloperOpen Source Developer or MaintainerSecurity ProfessionalIn-personAI summaryContinuous Integration + Continuous Deployment (CI/CD)DevOps and DevSecOpsOpen sourceCollaborationLearn hot to set up Dependency Insights for Gradle projects hosted on GitHub using the Gradle Dependency-Submission ActionUnderstand your build’s dependencies, including transitive dependencies, and any vulnerabilities present using GitHub Dependency GraphLearn how to use Gradle’s rich dependency management features to gain complete control over all your dependenciesSecure every commithttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.pngAll Approved and Published SessionsTuesday, Oct 283:00 p.m. Tuesday, Oct 28In this demo, we’ll show you how GitHub and Gradle are working together to improve supply chain security. You’ll learn how to enable the Gradle dependency-submission GitHub Action for your project, which leverages the GitHub Dependency Submission API to report all resolved dependencies, not just those declared in your build files. This integration helps you and Dependabot identify and remediate vulnerabilities more efficiently at scale, which leads to more accurate security alerts, faster remediation, and a smoother workflow for securing your builds. Finally, we’ll explore how to use a Gradle Build Scan® and Develocity to discover even deeper insights.
, Technical Documentation Lead, Gradle
, Senior Software Developer, Gradle
Track: SecureDelivery Format: In-person, AI summary - Main StageLevel 200: IntermediateApplicable to AllGitHub Advanced SecurityGitHub CopilotDiscussionsProjectsIssuesDependabotGitHub Secret ProtectionGitHub Code SecurityGitHub SparkEnterprise - Engineering LeadershipEnterprise - DeveloperSecurity ProfessionalSecurity LeadershipIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)DevOps and DevSecOpsSecurity (RASP, supply chain, threat modeling, vulnerability detection)CollaborationProductivityTech debt and security debtCode quality, review, and completionGovernance and complianceScale without slowdown: Secure thousands of repositories with buildless, incremental CodeQL analysis, which keeps developers moving fastAI-powered remediation: Learn how Copilot Autofix and Security Campaigns can automatically suggest and apply fixes for vulnerabilities, which can help teams reduce technical debthttps://youtu.be/jQudJClvN4YSecure every commithttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.pngAll Approved and Published SessionsHidden (Manual Add)Tuesday, Oct 283:00 p.m. Tuesday, Oct 28How do you secure thousands of repositories without slowing developers down? In this session, GitHub’s Pierre Tempel and Bas van Schaik will show how buildless, incremental CodeQL analysis and Copilot Autofix enable code scanning and remediation at enterprise scale.
, Senior Director of Product, GitHub
, Director, Product Management, GitHub
Delivery Format: In-person, Recorded, AI summary - Breakout SessionBuildAutomateLevel 200: IntermediateTravel, Recreation, and LeisureGitHub CopilotVS CodeEnterprise - Engineering LeadershipEnterprise - DeveloperIn-personAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Pair programmingCollaborationProductivityCode quality, review, and completionDiscover how to design custom prompts, instructions, and agents aligned with domain-specific rules, workflows, and compliance standardsLearn how United Airlines safely customized GitHub Copilot for regulated systems, while balancing developer velocity with safety, trust, and complianceUnderstand how peer-led rollout strategies accelerated adoption, built trust, and enabled safe Copilot integration across enterprise engineering teamsBuild faster, stay in flowDevelopersEngineering leadersAll Approved and Published SessionsTuesday, Oct 283:00 p.m. Tuesday, Oct 28Before 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
Track: Build, AutomateDelivery Format: In-person, AI summary - Product DemoBuildLevel 100: IntroductoryApplicable to AllGitHub CopilotEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerStartupsIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Tech debt and security debtWe are entering the age of refactoring over rebuildingAI agents, including Copilot coding agent, can help you continuously work through your tech debt backlogAI agents are easy to use and can free your engineering team up to generate customer valuehttps://youtu.be/LafpndhNC_EBuild faster, stay in flowWhat's new from GitHub?Agentic AI + Model Context Protocol (MCP)All Approved and Published Sessionshttps://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=universe25postTuesday, Oct 283:00 p.m. Tuesday, Oct 28Before 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
Track: BuildDelivery Format: In-person, Recorded, AI summary - Product DemoBuildAutomateLevel 200: IntermediateApplicable to AllActionsGitHub CopilotGitHub Enterprise CloudGitHub Enterprise ServerMarketplaceEnterprise - Engineering LeadershipIn-personAI summaryAgile practicesAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Data (analytics, management, privacy)DevOps and DevSecOpsProductivityYesLearn how deep research methodology eliminates 18+ hours of weekly engineering investigation cycles through automated intelligenceDiscover predictive risk assessment that identifies delivery problems weeks before traditional metrics detect themUnderstand workflow optimization using behavioral analytics to reclaim the equivalent of one developer day per sprintAutomate and scale with confidencehttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.pngAll Approved and Published SessionsTuesday, Oct 283:00 p.m. Tuesday, Oct 28Engineering 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
Track: Build, AutomateDelivery Format: In-person, AI summary - Product DemoSecureLevel 200: IntermediateApplicable to AllActionsGitHub Enterprise CloudEnterprise - Engineering LeadershipEnterprise - DeveloperSecurity ProfessionalSecurity LeadershipIn-personRecordedAI summaryCloud-native developmentContinuous Integration + Continuous Deployment (CI/CD)Containerized applicationsKubernetesSecurity (RASP, supply chain, threat modeling, vulnerability detection)Governance and complianceGitHub Artifact Attestations makes it easy to start the process of securing your buildsWrite policies that ensure your builds came from your organization and used approved build workflowsBy starting policies in audit mode, you can bootstrap your way into your entire organization achieving compliancehttps://youtu.be/VeHMn9sRagoSecure every commitWhat's new from GitHub?Security professionalshttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.pngAll Approved and Published Sessionshttps://docs.github.com/en/actions/how-tos/secure-your-work/use-artifact-attestations/use-artifact-attestations?utm_source=universe-web-page-docs-actions&utm_medium=web&utm_campaign=universe25postTuesday, Oct 283:00 p.m. Tuesday, Oct 28When it comes to securing your software supply chain, the build process is often the weakest link. That’s where GitHub Artifact Attestations comes in. With just one extra step in your GitHub Actions workflow, you can sign anything built in GitHub Actions — a file on disk or a container image. This signature includes verifiable links to your source code and build process, so you can write policies requiring all images come from your GitHub organization, or even a specific build workflow. Start small in audit mode to evaluate policy impact, then scale enforcement across your builds — with minimal configuration and clear traceability.
, Principal Engineer, GitHub
Track: SecureDelivery Format: In-person, Recorded, AI summary
4:00 pm PDT - Oct 28
- Product DemoSecureLevel 200: IntermediateComputers & ElectronicsSoftware & InternetApplicable to AllGitHub Secret ProtectionGitHub Enterprise CloudEnterprise - Engineering LeadershipSecurity ProfessionalSecurity LeadershipIn-personAI summaryDevOps and DevSecOpsGit and code management techniquesProductivityPlatform engineeringCustom integrations and APIsGovernance and complianceMigration strategiesGet inspired to protect and secure your most prized assets from attackersGain insight into how Okta's team protected access while managing thousands of reposDiscover how you can use GitHub to secure your source code without burdening your developers and administrative teamSecure every commithttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.pngAll Approved and Published SessionsTuesday, Oct 284:00 p.m. Tuesday, Oct 28Say goodbye to the worries of long-lived access tokens! In this session, you'll discover how Okta's team swapped the security risk for a developer-friendly interface that offers time-limited repository access. Learn about their custom GitHub app and the CLI tool that made this security enhancement seamless.
, Sr. Manager - Okta Developer Foundations, Okta
, Staff Software Engineer, Okta
Track: SecureDelivery Format: In-person, AI summary - Product DemoBuildAutomateLevel 200: IntermediateApplicable to AllEnterprise - Engineering LeadershipEnterprise - DeveloperIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)YesLearn how Postman’s Agent Mode can automate real API development work safelyDiscover how Postman collections can become your single source of truth for your APIsSee how experimentation becomes faster with AIhttps://youtu.be/BaGOg9CsUQwBuild faster, stay in flowAll Approved and Published SessionsTuesday, Oct 284:00 p.m. Tuesday, Oct 28Every developer knows the handoff tax between ideas and production. You define the API. You write the code. You open a PR. Then you wait on reviews, tests, and pipelines. What if AI could do most of that for you? In this session, we’ll connect the GitHub MCP Server to Postman’s Agent Mode, an AI-native assistant right within Postman. We’ll show how agents can automate real development tasks from generating code and creating pull requests to wiring up CI/CD with GitHub Actions. You’ll see how you can turn everyday GitHub workflows into fast, automated feedback loops that are secure, observable, and human-approved.
, Staff Developer Advocate, Postman
Track: Build, AutomateDelivery Format: In-person, Recorded, AI summary - Product DemoBuildLevel 100: IntroductoryAll / Cross-IndustryBusiness ServicesComputers & ElectronicsConsumer ServicesEducationEnergy & UtilitiesFinancial ServicesFood & Beverage ServicesGovernmentHealthcare, Pharmaceuticals & BiotechManufacturingMedia & EntertainmentNon-ProfitReal Estate & ConstructionRetailSoftware & InternetTelecommunicationsTransportation & StorageTravel, Recreation, and LeisureWholesale & DistributionApplicable to AllFood & Beverage ManufacturingAgriculture & MiningGitHub CopilotProjectsIssuesEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerSecurity ProfessionalStartupsSecurity LeadershipEducators & StudentsIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Software EngineeringCollaborationProductivitySee a live demo of the latest features in GitHub Issues and Projects designed for enterprise teamsLearn how Copilot enhances planning and tracking to save time and reduce manual effortUnderstand GitHub’s long-term investment in AI-powered planninghttps://youtu.be/BMwbxNi6NykBuild faster, stay in flowWhat's new from GitHub?DevelopersAll Approved and Published SessionsHidden (Manual Add)Tuesday, Oct 284:00 p.m. Tuesday, Oct 28Enterprise teams rely on GitHub to plan, track, and ship work at scale. In this session, we’ll demo the latest advancements in GitHub Issues and Projects, now enhanced with powerful AI capabilities. See how these new features make GitHub’s planning tools enterprise-ready, and get a first look at how we’re reimagining project management with Copilot in the loop.
, Senior Product Manager, GitHub
Track: BuildDelivery Format: In-person, Recorded, AI summary
11:00 am PDT - Oct 29
- Main StageBuildLevel 200: IntermediateApplicable to AllGitHub CopilotVS CodeEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerSecurity ProfessionalStartupsSecurity LeadershipEducators & StudentsIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)CollaborationProductivityIDE IntegrationDiscover what Continuous AI is – continuous integration, with AIUnderstand how to write Agentic Workflows and run them on GitHub ActionsPreview GitHub Next's approach to making agentic development intuitive and delightful, not overwhelminghttps://youtu.be/V-sdNfETPYQBuild faster, stay in flowWhat's new from GitHub?Agentic AI + Model Context Protocol (MCP)DevelopersAll Approved and Published Sessions11:00 a.m. Wednesday, Oct 29Wednesday, Oct 29AI agents are transforming software development. Today, you can assign tasks to agents in GitHub.com, in VS Code, and on the command line via Copilot CLI. But what if you didn’t have to assign tasks to your agents? What if they could do work on your behalf, continuously in the background, without you having to ask?
In GitHub Next, we’ve been exploring this idea, which we call “Continuous AI.” Just like continuous integration, Continuous AI is integrated into your development workflows and runs on GitHub Actions. But Continuous AI integrates LLMs and agents to do things that traditional continuous integration cannot – things that require judgement, that cannot be expressed as simple rules. They accelerate your team, not just individual developers.
In this talk, we will present the concept of Continuous AI, describe what kinds of tasks it is useful for, and show many examples of real Continuous AI workflows we are using in our own projects and with our collaborators in the open source community. We’ll show you how you can write your own Continuous AI workflows using our open-source tool, Agentic Workflows, as well as try out examples from the community.
This is a first look at experimental work from GitHub Next, GitHub's research and engineering team that focuses on shaping the future of software creation. If you’re curious about what’s coming next — and how to prepare for it — this session is for you., Head of GitHub Next, GitHub
, Staff Researcher, GitHub
, Principal Researcher, GitHub
, Senior Research Software Engineer, Microsoft
Track: BuildDelivery Format: In-person, Recorded, AI summary - Product DemoSecureLevel 200: IntermediateApplicable to AllDependabotEnterprise - DeveloperOpen Source Developer or MaintainerSecurity ProfessionalSecurity LeadershipIn-personAI summaryTech debt and security debtLearn how to implement Dependabot's multi-signal prioritization approach to focus remediation efforts on vulnerabilities that pose the greatest risk to your organizationDiscover techniques for customizing Dependabot's settings to match your organization's security policies while reducing alert fatigue among developersGain insight into how Dependabot's risk-based approach integrates with GitHub's security features to create a comprehensive vulnerability management system for your entire software supply chainSecure every commitWhat's new from GitHub?Security professionalshttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.pngAll Approved and Published Sessionshttps://docs.github.com/en/code-security/dependabot/dependabot-alerts/about-dependabot-alerts?utm_source=universe-web-page-docs-billing&utm_medium=web&utm_campaign=universe25post11:00 a.m. Wednesday, Oct 29Wednesday, Oct 29Want to stay ahead of security risks? Come learn about Dependabot's intelligent prioritization. This session will showcase how Dependabot leverages multiple risk signals — including artifact reachability context, custom repository metadata, severity and exploitability scores (CVSS/EPSS), Copilot context, and more — to surface the vulnerabilities that matter most. You'll discover how to focus your team's efforts where they'll have the greatest impact while keeping your software supply chain secure. There will also be a live demo and you'll leave with actionable tips to integrate intelligent prioritization seamlessly into your development pipeline.
, Senior Product Manager, GitHub
Track: SecureDelivery Format: In-person, AI summary - Breakout SessionBuildLevel 300: AdvancedSoftware & InternetApplicable to AllGitHub CopilotVS CodeEnterprise - DeveloperOpen Source Developer or MaintainerIn-personAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)CollaborationGain insight into how offline evaluations with diverse metrics reveal the strengths and limitations of large language modelsLearn how online experiments and real-world telemetry validate whether LLMs deliver meaningful value to developersUnderstand the trade-offs between innovation and reliability, and discover practical lessons for safely bringing AI from prototype to millions of developersBuild faster, stay in flowAgentic AI + Model Context Protocol (MCP)DevelopersAll Approved and Published Sessions11:00 a.m. Wednesday, Oct 29Wednesday, Oct 29What 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
Track: BuildDelivery Format: In-person, AI summary - Product DemoSecureLevel 200: IntermediateApplicable to AllGitHub Advanced SecurityEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerSecurity ProfessionalSecurity LeadershipIn-personAI summaryDevOps and DevSecOpsOpen sourceTech debt and security debtCode quality, review, and completionDiscover how to enable standardized code quality checking for your C and C++ code, to adapt to a world where code quality *is* securityDiscover how C and C++ application quality and security can be improved in a simple click-to-fix workflow with CodeQL coding standards and Copilot Autofix.Learn how to utilize your preference of the 1000+ security and quality rules implemented in the CodeQL Coding Standards project.Secure every commitSecurity professionalshttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.pngAll Approved and Published Sessions11:00 a.m. Wednesday, Oct 29Wednesday, Oct 29CodeQL provides GitHub users and customers with scalable, on-demand static analysis via GitHub Code Security. For C and C++ developers, code quality and security are deeply intertwined. In this session, you'll learn how to enable additional CodeQL checks aligned with industry standards — including CERT, MISRA, and AUTOSAR — to improve safety, quality, and correctness in your codebases. We’ll walk through how to select from over 1,000 CodeQL queries, integrate them with GitHub Copilot Autofix and security campaigns, and apply them in a click-to-fix workflow that supports maintainable and secure development.
, Senior CodeQL Analysis Engineer, GitHub
Track: SecureDelivery Format: In-person, AI summary - Product DemoSecureLevel 100: IntroductoryApplicable to AllActionsDependabotGitHub Enterprise CloudProjects and IssuesEnterprise - Engineering LeadershipSecurity ProfessionalSecurity LeadershipIn-personAI summaryDevOps and DevSecOpsSecurity (RASP, supply chain, threat modeling, vulnerability detection)Migration strategiesYesLearn why automated backups and rapid recovery capabilities are essential for preventing data lossDiscover how GitProtect’s cross-recovery and disaster recovery features can help you quickly recover from ransomware attacks or accidental deletionsSee how GitProtect works with GitHub Enterprise Server and SaaS, providing an easy-to-integrate solution that helps you meet compliance requirements and protect your development workflows from real-world threatsSecure every commithttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.pngAll Approved and Published Sessions11:00 a.m. Wednesday, Oct 29Wednesday, Oct 29Data loss from ransomware, accidental deletion, or other threats is a real risk for any organization. In this session, discover how GitProtect’s automated backup, rapid cross-recovery, and disaster recovery features safeguard your code and metadata — helping you meet compliance, minimize downtime, and ensure business continuity. See why every development leader needs a data loss prevention plan through a live demo of GitProtect’s integration with GitHub Enterprise Server and SaaS, and learn practical strategies to protect your repositories and your organization’s future.
, Content Marketing Team Leader, GitProtect.io
, Head of Product Enablement, GitProtect.io
Track: SecureDelivery Format: In-person, AI summary
12:00 pm PDT - Oct 29
- Product DemoBuildLevel 200: IntermediateApplicable to AllGitHub CopilotVS CodeEnterprise - DeveloperOpen Source Developer or MaintainerIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Open sourceIDE IntegrationWitness 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/LwqUp4Dc1mQBuild faster, stay in flowWhat's new from GitHub?Agentic AI + Model Context Protocol (MCP)All Approved and Published Sessionshttps://github.com/github/github-mcp-server?utm_source=universe-web-page-product-mcp&utm_medium=web&utm_campaign=universe25post12:00 p.m. Wednesday, Oct 29Wednesday, Oct 29Discover 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
Track: BuildDelivery Format: In-person, Recorded, AI summary - Main StageBuildAutomateLevel 200: IntermediateFinancial ServicesRetailApplicable to AllActionsGitHub CopilotGitHub Enterprise CloudEnterprise - Engineering LeadershipEnterprise - DeveloperIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Continuous Integration + Continuous Deployment (CI/CD)DevOps and DevSecOpsProductivityPlatform engineeringGovernance and complianceMigration strategiesDiscover how a Standard Pipeline in GitHub drives efficiencyExplore real-world benefits and proven outcomes of standardized workflowsApply practical strategies and patterns for AI-driven CI migrationhttps://youtu.be/Qf-iQZ1jaIgAutomate and scale with confidencehttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.pngAll Approved and Published Sessions12:00 p.m. Wednesday, Oct 29Wednesday, Oct 29Nordstrom’s migration from GitLab to GitHub was an opportunity to redesign CI/CD, not just move it. We built a Standard Pipeline on GitHub using reusable workflows, composite actions, and environment-based guardrails so teams can build, test, and ship quickly and consistently. We’ll share the technical decisions behind the design, how our CI/CD philosophy evolved, and how agent-assisted tooling helped translate legacy jobs into GitHub Actions safely and at speed with humans in the loop. You’ll see how standardized patterns and GitHub-native building blocks such as reusable workflows, composite actions, environments, and rulesets improve reliability and security. These advantages can potentially turn months of conversion work into weeks. You’ll leave with templates, migration tips, and change management practices you can apply to scale modern CI/CD on GitHub across your organization.
, Senior DevOps Architect, GitHub
, Senior Software Engineer, Nordstrom
, Software Engineer, Nordstrom
Track: Build, AutomateDelivery Format: In-person, Recorded, AI summary