IBM TechXchange 2025 focuses on agentic AI and developer tools
IBM TechXchange 2025 offers hands-on AI agent building, open-source exploration, and technical sessions for developers and engineers. Learn about the event's highlights.
Three years into the generative AI (gen AI) boom, developers are under pressure to deliver products faster. IBM’s TechXchange 2025 aims to equip attendees with tools to meet these demands, placing a strong emphasis on agent-building workshops and hands-on experiences.
Hands-On Labs and Open-Source Exploration
The conference will feature:
- Agent Build Bay: A dedicated space where attendees can practice building AI agents in minutes using IBM watsonx Orchestrate.
- Open-source projects: Including Mellea, a library for generative programs, Model Context Protocol, and Docling, a toolkit for preparing AI-ready documents.
- Quantum lab: A mini quantum lab adjacent to the Agent Build Bay for testing quantum workflows.
Amy Tennison, VP of IBM TechXchange and Client Advocacy, highlighted the shifting roles of technical teams: "Developers are thinking more like data scientists and product strategists. Architects are engaging in governance and orchestration."
Growing Attendance and Evolving Format
TechXchange, now in its third year, has expanded from 3,000 attendees in 2023 to a projected 9,000 in 2025. The event engages over 410,000 developers, architects, and engineers year-round through IBM’s technical community.
This year’s format includes:
- Roundtables and peer-led sessions: Focused on AI-driven workflows and evolving team responsibilities.
- Sandbox playground: A literal sandbox where attendees can build agents, explore open-source projects, play Mario Kart, or even slide down a giant slide.
"This is modeled off that developer sandbox experience because it was all about getting to experience the tech in your own way," Tennison said.
Key Takeaways
- IBM TechXchange 2025 emphasizes hands-on AI agent development.
- The conference showcases IBM’s latest tools and open-source projects.
- Attendees can engage in interactive labs, quantum computing, and networking opportunities.
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.