DevConf.US 2025

How Might We Achieve Better Outcomes Using Gen AI?
2025-09-20 , 107 (Capacity 20)

Generative AI tools can allow for new and better outcomes. In this hands-on design thinking workshop, we’ll leverage your insights as well as recent research from Red Hat’s User Experience Design Team to brainstorm solutions around using Generative AI in your workflow. Participants will be asked to share their experiences with various Generative AI techniques and tools (e.g. prompting, vibe coding, and agents), learn from others’ experiences, and iterate together on solution ideas in a fun, game-like format.


What level of experience should the audience have to best understand your session?

Beginner - no experience needed

See also: Matrix Chat

Vince is a Principal Interaction Designer on Red Hat’s user experience design team. He started his professional life as an electrical engineer and worked for six years before making the enlightened decision to attend graduate school to study what was then called human factors. He earned a Masters and Ph.D. in psychology from North Carolina State University. His thirty year career has spanned both hardware and software UX design along with some research and consulting. He is currently a UX designer on Red Hat’s OpenShift AI product, a platform for managing the lifecycle of predictive and generative AI models.

This speaker also appears in:

Beau Morley is a User Experience Designer working at Red Hat. She has been working in UX for over 20 years. Prior to that, she worked as a full stack developer. She’s passionate about UX strategy and working with engineering and product management to create technically feasible, desirable, and usable products.

Cece Tan is a UX designer specializing in AI/ML platforms. Blending research, design thinking and hands-on experimentations, Cece helps teams imagine and build human-centered outcomes in the age of AI.

Andy Braren is a Principal Product Designer at Red Hat who enjoys making things that help people solve problems and feel more organized, capable, and fulfilled. He’s currently exploring ways to scale and further democratize human-centered design via AI-enabled tools that augment the design thinking process.