What Companies Are Attending GitHub Universe 2026?

is a technology solutions integrator providing cloud, cybersecurity, data, AI, infrastructure, and software services. Its GitHub capabilities help enterprise engineering teams modernize development environments, improve security, and scale software delivery.

provides software supply chain technology spanning artifact management, security, DevOps, DevSecOps, and MLOps. Engineering teams use the platform to manage packages and binaries while controlling how software moves from development into production.

provides deployment automation and release orchestration for software teams. Its platform helps enterprises manage complex deployments, environments, permissions, infrastructure, governance, and release processes across applications and large engineering organizations.

provides a collaborative platform for designing, developing, testing, documenting, and managing APIs. Developers use it throughout the API lifecycle to connect teams, automate testing, maintain documentation, and improve software integration.

develops processor architecture and compute technology used across mobile devices, cloud infrastructure, embedded systems, edge computing, and AI. Its developer ecosystem gives software teams a foundation for building high-performance applications across billions of Arm-based devices.

develops collaboration and software-development products including Jira, Confluence, Bitbucket, and Rovo. Engineering teams use its products to plan software, manage work, share knowledge, coordinate development, and introduce AI agents into enterprise workflows.

provides cloud-native artifact management for software packages, containers, and other development assets. Its platform helps engineering teams control distribution, enforce policies, monitor risk, and strengthen security across the software supply chain.

provides collaborative design and development software used to create digital products. Its platform connects designers and developers through interface design, prototyping, design systems, developer handoff, and AI-assisted product-building workflows.

develops computer peripherals including keyboards, mice, webcams, headsets, and collaboration hardware. Its MX product line is designed for developers and other technical professionals working across coding, AI, productivity, and multi-device workflows.

provides an internal developer platform for managing services, software ownership, engineering workflows, and developer self-service. Its agentic SDLC capabilities help engineering teams coordinate developers and AI agents with governance and shared operational context.

provides application monitoring and debugging technology for developers. Its platform helps engineering teams identify errors, performance issues, broken releases, and production problems while connecting those signals directly with the code that needs attention.

provides APIs and infrastructure for adding enterprise features such as single sign-on, directory sync, authentication, and identity management to software products. Developer teams use it to make SaaS and AI applications enterprise-ready.

provides technology talent and services for companies building software and AI systems. Its model combines skills assessment, developer matching, workforce development, and delivery support for enterprises scaling technical teams and AI initiatives.

provides observability and application-performance technology across cloud infrastructure, applications, services, user experiences, and AI workloads. Engineering teams use it to understand complex systems and diagnose performance or reliability issues.

provides backup and disaster recovery for GitHub, GitLab, Bitbucket, Azure DevOps, and other development environments. Its technology helps organizations protect repositories, metadata, pipelines, and other critical DevOps assets.

provides software engineering intelligence for understanding how development resources are allocated and how engineering work affects business priorities. Leaders use it to analyze delivery, developer productivity, AI adoption, planning, and organizational performance.

provides feature management and runtime control for software teams. Developers use its platform to release features progressively, run experiments, manage risk, control AI functionality, and change application behavior without redeploying code.

provides AI agents for production engineering and operations. Its agents work across code, infrastructure, telemetry, and organizational knowledge to investigate alerts, respond to incidents, and automate operational tasks.

provides secure private networking built around WireGuard. Developers and IT teams use it to connect services, devices, cloud infrastructure, developer environments, and internal tools without relying on traditional network configurations.

provides an AI-native quality engineering platform formerly known as LambdaTest. Its platform combines autonomous testing agents, browser and device testing, test execution infrastructure, and analytics across web, mobile, and AI applications.

provides credential, secrets, and identity security for employees, developers, and AI agents. Its platform helps organizations control access to passwords, developer secrets, SaaS applications, and other sensitive resources.

provides enterprise software delivery technology built around Argo CD and GitOps. Engineering teams use it to manage Kubernetes deployments, coordinate application delivery, automate release workflows, and apply governance across cloud-native environments.

provides product analytics, experimentation, and digital optimization software. Product and engineering teams use it to understand user behavior, test product changes, monitor adoption, and make data-informed decisions about digital experiences.

provides build and CI/CD infrastructure for software teams, with particular strength in mobile development. Its build platform also supports GitHub Actions workloads with high-performance macOS and Linux compute.

provides secure-by-default open source software and container images designed to reduce vulnerabilities and software supply chain risk. Engineering teams use its products to build applications on smaller, continuously updated software foundations.

provides an AI-native platform for operating GitHub at enterprise scale. Its capabilities include CI/CD migration, cross-repository changes, workflow governance, network security, service catalogs, and developer self-service.

provides a data and AI platform for analytics, machine learning, generative AI, and enterprise applications. Developers and data teams use it to build and operate data products, models, agents, and AI applications.

provides observability and security across applications, infrastructure, logs, traces, cloud environments, and developer workflows. Engineering teams use it to monitor software performance, investigate incidents, and understand complex production systems.

provides an AI-native documentation platform for technical teams. Developers use it to create and maintain product documentation, developer portals, internal knowledge, and AI-ready technical content connected to engineering workflows.

develops open source and commercial observability technology around Grafana, Prometheus, Loki, Tempo, and related projects. Engineering teams use its platform to visualize metrics, logs, traces, and operational data.

provides secrets management, certificate management, and privileged access technology. Developers use it to secure credentials, API keys, machine identities, and sensitive configuration across cloud, on-premises, and AI infrastructure.

provides AI-native documentation and developer knowledge infrastructure. Software companies use it to build documentation sites, organize technical knowledge, improve developer discovery, and make product information accessible to both humans and AI agents.

provides tools for large-scale code search, analysis, and automated transformation. Its technology helps coding agents and engineering teams make deterministic changes across many repositories while preserving compiler-level accuracy.

provides digital product engineering, cloud, DevSecOps, and AI consulting. Its teams help enterprises modernize software development, improve developer experience, adopt GitHub technologies, and accelerate delivery.

develops AI-powered software testing agents. Its platform explores applications across web and mobile environments, creates and executes tests, and helps development teams identify issues before software reaches users.

develops AI agents for site reliability and production operations. Its technology analyzes telemetry and operational context to help engineering teams investigate incidents, diagnose problems, and resolve production issues faster.

provides observability technology for applications, infrastructure, logs, traces, user experiences, and AI systems. Developers use it to understand software performance, identify failures, and improve production reliability.

is an AI product agent built by the Pendo team. It connects to software repositories and product behavior to automatically instrument applications, identify friction, surface product issues, and recommend changes as code evolves.

provides an AI-powered DevOps platform for automating pipelines and integrating software-development tools. Engineering teams use it to coordinate CI/CD, improve visibility, apply governance, and streamline software delivery across complex environments.

provides backup and recovery for SaaS applications and business data. Its technology helps organizations restore account-level information that may not be recoverable through the SaaS provider's own infrastructure.

provides data security and cyber resilience technology. Its platform helps organizations protect and recover enterprise data while extending governance and security controls into cloud and AI environments.

is a business and technology consulting company working across cloud, data, AI, software engineering, and digital transformation. Its GitHub work helps enterprises modernize development practices and adopt AI-assisted engineering.

provides code quality, security, and governance technology. Developers use its tools to identify bugs, vulnerabilities, maintainability issues, and risks across both human-written and AI-generated code.

provides software supply chain security across developer environments, repositories, GitHub Actions, and open source dependencies. Its technology helps teams detect malicious behavior and reduce risk within development workflows.

provides DevOps, Agile, cloud, AI, and software development consulting. Its teams help organizations improve engineering workflows, modernize developer platforms, automate delivery, and build stronger software-development capabilities.

provides engineering operations software that connects data across code, teams, tools, and delivery processes. Engineering leaders use it to understand developer productivity, software delivery, AI adoption, and organizational performance.

provides infrastructure for training and serving generative AI models. Developers use the platform to deploy specialized models and AI applications while optimizing inference performance, quality, and cost.

is a technology consultancy focused on AI, cloud, software engineering, and digital products. Its teams help enterprises modernize development environments and introduce agentic software engineering into existing technology organizations.

provides digital transformation, cloud, AI, cybersecurity, and software engineering services. Its development work helps enterprises modernize platforms, improve software delivery, and scale AI-assisted development with governance.

provides consulting and engineering across software development, cloud, data, AI, DevOps, and digital products. Its teams help enterprises modernize engineering practices and adopt GitHub and AI technologies at scale.

develops processors, GPUs, and computing platforms used across PCs, data centers, embedded systems, gaming, and AI. Its presence at Universe connects hardware innovation with the infrastructure developers use to build increasingly AI-intensive software.

develops GPUs, AI infrastructure, developer libraries, and accelerated computing platforms. Its technology underpins many generative AI and agentic applications, making it a central part of the modern AI developer ecosystem.

develops Claude and related AI models and developer tools. Software teams use its models for coding, reasoning, research, automation, and agentic workflows across applications and engineering environments.

develops AI models and developer platforms used for coding, reasoning, automation, multimodal applications, and AI agents. Its tools are increasingly integrated into software-development workflows and enterprise applications.

operates cryptocurrency and blockchain products serving consumers, businesses, and developers. Its large engineering organization uses modern developer infrastructure and AI-assisted workflows to operate complex financial software at scale.

operates a global logistics and package-delivery network supported by large-scale software and data systems. Its GitHub Universe participation focuses on enterprise adoption of AI and building developer fluency with GitHub Copilot.

develops Azure, Visual Studio, GitHub, Microsoft 365, Windows, and a broad portfolio of enterprise and AI technology. Its developer ecosystem spans cloud infrastructure, coding tools, AI agents, and enterprise software development.

provides software engineering, cloud, AI, and digital transformation services. Its teams work with enterprises in regulated and complex industries to modernize applications, data environments, and engineering practices.

is a major U.S. energy company operating electric and natural gas infrastructure. Its Universe programming brings an enterprise perspective on cloud migration, modern software development, and AI adoption.

is a global apparel company behind Levi's and other brands. Its participation reflects how software engineering and AI are becoming important capabilities even inside companies traditionally viewed as consumer brands.

provides identity-aware access infrastructure for applications, services, and developer environments. Its technology applies fine-grained authorization policies to requests and is increasingly relevant to securing MCP servers and agentic workflows.

What companies are attending GitHub Universe 2026?

Companies represented at GitHub Universe 2026 include JFrog, Postman, Atlassian, Figma, Sentry, WorkOS, Datadog, LaunchDarkly, 1Password, Databricks, Grafana Labs, GitBook, NVIDIA, AMD, Anthropic, OpenAI, Microsoft, Coinbase, UPS, and many other developer and software companies.

When and where is GitHub Universe 2026?

GitHub Universe 2026 takes place October 28-29, 2026 at Fort Mason Center in San Francisco, California. The conference is available both in person and virtually.

What is GitHub Universe 2026?

GitHub Universe is GitHub's flagship developer conference. It brings together developers, engineering leaders, open source maintainers, technology companies, and GitHub partners for product announcements, technical sessions, workshops, demos, and discussions about the future of software development.

Who should attend GitHub Universe 2026?

GitHub Universe is designed for software developers, engineering leaders, platform engineers, DevOps and DevSecOps teams, security professionals, open source maintainers, cloud architects, developer-experience teams, and organizations adopting GitHub Copilot and AI-assisted development.

Which AI and developer tool companies are at GitHub Universe 2026?

AI and developer technology companies represented include OpenAI, Anthropic, NVIDIA, AMD, Databricks, Fireworks AI, Atlassian, Postman, LaunchDarkly, Sentry, GitBook, Mintlify, Port, NeuBird, Resolve AI, Momentic, and Moderne.

What are the main topics at GitHub Universe 2026?

Major themes include GitHub Copilot, AI agents, agentic software development, developer productivity, DevOps, DevSecOps, software supply chain security, observability, open source, APIs, testing, GitOps, cloud development, and governing AI-assisted software delivery.