Open Source Summit + Embedded Linux Conference North America 2026

The pervasive presence  of generative AI presents a paradigm shift for open source development and community building. Tools like Copilot, Claude Code, and other large language models (LLMs) are fundamentally changing how code is created, documentation is generated, and, to some extent, how contributions are onboarded and managed. In this presentation, Red Hat’s Brian Proffitt will explore the challenges and opportunities for cultivating vibrant, sustainable open source communities in this new technological landscape.

Brian will examine the core questions facing maintainers and contributors: How do we foster human connection and mentorship when AI can start handling routine coding tasks? What ethical and legal frameworks must be established regarding AI-generated code contributions, licensing compliance, and attribution? Using real-world examples such as the Fedora Project, this session will delve into practical strategies for leveraging GenAI as an enabler rather than a disruptor.
Key Takeaways:

• Use AI to accelerate developers, not replace them. Human judgment, review, and accountability remain essential.
• Stay committed to open source and transparency. Transparency, collaboration, and trust matter even more in an AI world.
• Keep humans accountable for quality and compliance. AI-generated code must be reviewed for quality, security, and licensing.

This session is designed for open source maintainers, community managers, developers, and anyone interested in the future of collaborative software development, offering a roadmap for thriving in an AI-integrated ecosystem where the emphasis shifts from code production to collective innovation.


In order to facilitate networking and business relationships at the event, you may choose to visit a third party's booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies. 

For many users, open source tools have provided a dependable-yet-innovative foundation for a wide array of search and observability applications. To get the most out AI agents, these tools must evolve, with new approaches to development and deployment and new ways for users to interact. With the right foundation, agentic search and observability can accelerate innovation, supercharge applications, and achieve faster time-to-results.

In this talk, Bobby Mohammed, OpenSearch Principal Product Manager for Amazon Web Services, will demonstrate how open source, agent-powered tools can empower developers to build production-ready applications in minutes, democratize the complex work of designing and provisioning workloads, and deliver the next generation of search and observability applications.


In order to facilitate networking and business relationships at the event, you may choose to visit a third party's booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies. 

Open source has become key to blockchain development, especially for public, permissionless blockchains such as Cardano. This session will share insights into the Cardano Foundation’s "Infrastructure-First" strategy. We will discuss how to sustain a diverse suite of open-source solutions designed for institutional and community use. Key case studies include:

• A financial reporting and accounting system that creates immutable, easy to audit records
• A scalable solution for verifiable proof of origin and product integrity
• An identity and access management platform focusing on fraud prevention and digital sovereignty
• A secure yet transparent voting infrastructure for decentralized governance.

Your AI agents can read your code, call external APIs, and hold credentials to production. Your security controls assume they're either a human or a deterministic app. They're neither.

I'll walk through the patterns enterprise teams are actually using to deploy coding agents without getting burned: workspace isolation, network egress controls, model gateways, and credentials that die when the workspace dies.
Real incidents. Real deployments. No hand-waving about what might work someday.


In order to facilitate networking and business relationships at the event, you may choose to visit a third party's booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies. 

SGL is graduating from ELISA incubation and launching as its own foundation. This BoF is a working discussion on three things: the structure of the new Technical Advisory Council, the near-term roadmap emerging from our mailing list, and where attendees want to plug in. New faces and long-time contributors equally welcome. Bring questions, bring priorities, bring pushback.