Join us for the opening keynote, where we'll kick things off with our latest product announcements, live demos, and maybe a few surprises that showcase the future of building with GitHub. From AI and agents as true accelerators, to the strength of our global ecosystem, see how we’re helping developers move faster and build with confidence.
9:00 am PDT - Oct 28
- KeynoteLevel 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 & MiningActionsGitHub Advanced SecuritySupply Chain SecurityCodespacesGitHub CopilotDiscussionsEducationEnterprise/AdminExtensibility/EcosystemProjectsIssuesPagesSponsorsReadME ProjectDependabotGitHub Secret ProtectionGitHub Code SecurityGitHub Copilot WorkspaceGitHub Enterprise CloudGitHub Enterprise ServerMarketplaceVS CodeGitHub SparkProjects and IssuesEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerSecurity ProfessionalStartupsSecurity LeadershipEducators & StudentsIn-personRecordedLivestreamAccessibilityAgile practicesAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Automated Infrastructure DeploymentCloud-native developmentContinuous Integration + Continuous Deployment (CI/CD)Containerized applicationsData (analytics, management, privacy)DevOps and DevSecOpsGit and code management techniquesKubernetesInfrastructure as codeMonitoring and observabilityOpen sourcePair programmingCollaborationProductivityPlatform engineeringCode quality, review, and completionCustom integrations and APIsEducationGovernance and complianceMigration strategiesIDE Integrationhttps://youtu.be/P6Va0_KILi4What's new from GitHub?Agentic AI + Model Context Protocol (MCP)https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-keynote-large_1755504861522001HU9w.pngAll Approved and Published SessionsHidden (Manual Add)Tuesday, Oct 289:00 a.m. Tuesday, Oct 28
, COO, GitHub
, Staff Developer Advocate, GitHub
, PM Lead, VS Code, Microsoft
Delivery Format: In-person, Recorded, Livestream
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 28What 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
Track: Build, AutomateDelivery Format: In-person, AI summary - WorkshopBuildSecureLevel 300: AdvancedApplicable to AllGitHub CopilotVS CodeEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerStartupsEducators & StudentsIn-personAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)ProductivityIDE IntegrationLearn how to tailor GitHub Copilot’s suggestions using repository-specific instructions and prompt files to reflect your team’s coding standards, conventions, and architectureGain insight into creating custom workflows that align Copilot with your security, compliance, and review processes — so it works the way your team doesUnderstand how to scale Copilot customizations across your organization, enabling entire teams to benefit from shared context and consistent AI-assisted developmentBuild faster, stay in flowWhat's new from GitHub?DevelopersAll Approved and Published SessionsTuesday, Oct 2810:00 a.m. Tuesday, Oct 28Discover 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
Track: Build, SecureDelivery Format: In-person
11:00 am PDT - Oct 28
12:00 pm PDT - Oct 28
- 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
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
2:00 pm PDT - Oct 28
- 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 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 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 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
- Sandbox SessionBuildAutomateLevel 300: AdvancedApplicable to AllActionsGitHub CopilotEnterprise - DeveloperOpen Source Developer or MaintainerIn-personAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Automated Infrastructure DeploymentContinuous Integration + Continuous Deployment (CI/CD)DevOps and DevSecOpsProductivityLearn and implement techniques for advanced GitHub Actions development with interactive demos and code samplesDiscover how to create secure, AI-enhanced, enterprise-scale workflows and pick up security best practices for AI-powered ActionsGet practical blueprints for building intelligent, adaptable pipelines using GitHub’s latest AI capabilitiesAutomate and scale with confidenceWhat's new from GitHub?https://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.pngAll Approved and Published Sessions11:00 a.m. Wednesday, Oct 29Wednesday, Oct 29GitHub 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
Track: Build, AutomateDelivery Format: In-person - WorkshopBuildLevel 200: IntermediateApplicable to AllGitHub CopilotEnterprise - DeveloperOpen Source Developer or MaintainerIn-personAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Continuous Integration + Continuous Deployment (CI/CD)Pair programmingProductivityCode quality, review, and completionIDE IntegrationDiscover how to bring AI agents into your software development workflowIdentify scenarios where AI agents can be most impactful, and get tips and tricks to provide the right context that leads to the best outputDiscover how Model Context Protocol provides access to an additional set of external tools and capabilities that AI agents can use for even deeper contextBuild faster, stay in flowWhat's new from GitHub?Agentic AI + Model Context Protocol (MCP)All Approved and Published Sessions11:00 a.m. Wednesday, Oct 29Wednesday, Oct 29GitHub 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
Track: BuildDelivery Format: In-person - 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
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
1:00 pm PDT - Oct 29
- Breakout SessionBuildSecureAutomateLevel 200: IntermediateApplicable to AllActionsGitHub Advanced SecurityGitHub CopilotEnterprise - DeveloperOpen Source Developer or MaintainerStartupsIn-personAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Continuous Integration + Continuous Deployment (CI/CD)Platform engineeringLearn how to migrate any legacy bash script with Copilot agent modeDiscover how to secure your Actions workflows with GitHub Advanced SecurityGain insights into GitHub Actions' advanced features, like matrix jobs and attestationsBuild faster, stay in flowWhat's new from GitHub?DevelopersAll Approved and Published Sessions1:00 p.m. Wednesday, Oct 29Wednesday, Oct 29Gather, 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
Track: Build, Secure, AutomateDelivery Format: In-person, AI summary - Main StageBuildSecureAutomateLevel 200: IntermediateApplicable to AllSecurity ProfessionalSecurity LeadershipIn-personRecordedAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Code quality, review, and completionAI agents work better when given context about your codebase standards and security requirementsGitHub provides an end-to-end code quality experience from code creation to PR review to full lifecycle managementTeams can accelerate development velocity while maintaining high code quality and security standardshttps://youtu.be/Ptach9Ouzj8Secure every commitWhat's new from GitHub?Security professionalshttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-secure-large_1755504861206001HzrL.pngAll Approved and Published Sessions1:00 p.m. Wednesday, Oct 29Wednesday, Oct 29At GitHub, we believe software must be secure and of high quality by default. AI agents are transforming how applications are created, and this presents an unprecedented opportunity to give them better context about your codebase, security requirements, and coding standards. In this session, you'll see how GitHub is making this vision a reality with new capabilities that span the entire developer workflow, from code creation and code review to code lifecycle management. Teams and AI agents can now move faster while maintaining the highest standards for quality and security. Join us to discover what's next for AI-powered development, and get an exclusive preview of innovations that will change how developers and AI work together to improve both security and quality of your code.
, VP, Product Management, GitHub
, Senior Product Manager, GitHub
Track: Build, Secure, AutomateDelivery Format: In-person, Recorded, AI summary
2:00 pm PDT - Oct 29
- Product DemoSecureAutomateLevel 200: IntermediateApplicable to AllGitHub CopilotGitHub Code SecurityEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerIn-personAI summaryProductivityTech debt and security debtCode quality, review, and completionGain insight into how GitHub Code Quality simplifies technical debt management by helping teams identify and address issuesLearn how to leverage automated fixes (via Copilot Autofix) to effortlessly improve code maintainability and reliabilityUnderstand how GitHub Code Quality integrates smoothly into workflows to save time and boost developer productivityAutomate and scale with confidenceWhat's new from GitHub?Security professionalshttps://static.rainfocus.com/github/universe25/static/staticfile/staticfile/session-automate-large_1755504861317001HKfZ.pngAll Approved and Published Sessions2:00 p.m. Wednesday, Oct 29Wednesday, Oct 29Today’s developers face mounting technical debt, with leaders often struggling to understand the blockers that prevent teams from delivering faster. Traditional code quality tools promise solutions but often create overwhelming backlogs of unresolved issues. Enter GitHub Code Quality: a streamlined tool that helps users assess their code's health and take meaningful, automated actions without leaving their workflows (thanks to GitHub Copilot). Join this session to learn how Code Quality improves maintainability and reliability while saving your team valuable time.
, Senior Product Manager, GitHub
Track: Secure, AutomateDelivery Format: In-person, AI summary
3:00 pm PDT - Oct 29
4:00 pm PDT - Oct 29
- Product DemoBuildLevel 100: IntroductoryApplicable to AllGitHub SparkEnterprise - Engineering LeadershipEnterprise - DeveloperOpen Source Developer or MaintainerStartupsEducators & StudentsIn-personAI summaryAI (Agentic AI, Generative AI, Fine-tuned modeling, Models)Learn how GitHub Spark helps accelerate the journey from idea to production-ready appUnderstand the Spark SDK and runtime for building secure, scalable apps by defaultDiscover how GitHub Spark reduces dev toil and accelerates time-to-valueBuild faster, stay in flowWhat's new from GitHub?All Approved and Published Sessionshttps://github.com/features/spark?utm_source=universe-web-page-features-spark&utm_medium=web&utm_campaign=universe25post4:00 p.m. Wednesday, Oct 29Wednesday, Oct 29With GitHub Spark, you can accelerate the journey from idea to production-ready app, with built-in support for scalable and secure development practices. In this session, you'll learn about Spark's latest capabilities, including updates to the app-building process, an introduction to the Spark SDK, and a deeper dive into Spark runtime. You'll even get a sneak peek at what's coming next.
, Principal Product Manager, GitHub
Track: BuildDelivery Format: In-person, AI summary