Supercharge Agentic AI Projects: A DevEx-Driven Approach to Cloud-Native Scaffolding

Track: Cloud Native
Abstract
In the rapidly evolving landscape of artificial intelligence, agentic AI has emerged as a powerful paradigm for creating intelligent agents capable of interacting with the real world. However, building and deploying such agents can be a complex and time-consuming process. This demo-driven talk will introduce a new approach to cloud-native scaffolding using software templates that significantly simplify the development of agentic AI projects, providing a streamlined and efficient experience for app developers.

Through a series of live demonstrations, attendees will witness firsthand how this innovative scaffolding framework can accelerate the development lifecycle of agentic AI applications. We will explore key features such as automated code generation, pre-configured infrastructure, and integration with popular AI libraries, demonstrating how these tools can save developers valuable time and effort.

By the end of this talk, participants will have a clear understanding of how this new approach to cloud-native scaffolding can revolutionize the development of agentic AI projects. They will be equipped with the knowledge and practical skills needed to build intelligent agents more efficiently and effectively, driving innovation in the field of artificial intelligence.
Daniel Oh
Daniel Oh is a Java Champion and Senior Principal Developer Advocate at Red Hat to evangelize developers for building cloud-native apps and serverless ob Kubernetes ecosystems. He's also contributing to various cloud open-source projects and ecosystems as a CNCF ambassador for accelerating DevOps adoption in enterprises. He's speaking at lots of technical seminars, workshops, and meetups to elaborate on new emerging technologies for enterprise developers & DevOps teams.
James Falkner
Technology evangelist, teacher, learner, author, dedicated to open source and open computing. I work at Red Hat as a product marketing director for Red Hat's portfolio of open source products and love what we do and learning from others, and occasionally teaching at conferences.