East Bay Java User Group

IN PERSON AT Microsoft Reactor SF
Livestream TBD

Have you ever wanted to build an intelligent chatbot that understands your specific business context?
This presentation takes a practical engineering approach to AI. You'll learn how to interact with large language models (LLMs) from code and how you can extend their capabilities by giving them access to your own content and selected Java methods.
This talk will feature hands-on coding, where you'll learn to implement a custom AI chatbot with Spring Boot, React, LangChain4j, and Hilla. Walk away with a solid understanding of how you can integrate AI into your own application.

Building Intelligent Applications with Spring AI
It's impossible to spend a day in tech without hearing the words "Artificial Intelligence". In this presentation we will embark on a journey into the world of Artificial Intelligence (AI) specifically designed for beginners. We'll start by introducing the fundamental concepts of AI, demystifying its jargon, and exploring its potential impact on our everyday lives.
Next, we will explore Spring AI. Its goal is to simplify the development of applications that incorporate artificial intelligence functionality, without introducing unnecessary complexity. We will cover the basics of setting up a Spring AI project, how to integrate it with existing Spring Boot applications, and how to use its various components to implement common AI tasks.
Whether you want to add chatbots to your app, generate recommendations, or analyze sentiments in text, Spring AI provides a streamlined and efficient approach to integrating these features. By the end of this talk, you will have a solid grasp of AI basics and how to incorporate them into your Spring applications using Spring AI.
Speaker: Dan Vega, Broadcomm
Dan Vega is a Software Engineer living just outside of one of my favorite places in the world, Cleveland, Ohio. I am a self-taught programmer who firmly believes that you can accomplish anything in this life if you put your mind to it, roll up your sleeves and are willing to put in the work.
I have been writing software for over 20+ years now and I use my knowledge, passion, and influence to help other developers achieve their goals. I teach online and currently, have over 160,000 students.
In my personal life I am a husband to my best friend in the world and a father of two little girls. I enjoy reading, running and lifting weights to get me through the week.

There is a debate in the GraphQL community between "schema-first" and "code-first" development. Yet, there is a third way: data-first GraphQL APIs. This is where principles and pragmatism meet. "Do not Repeat Yourself", "Domain-Driven Design," and "Data-Driven Development" are important principles in software. Just as important are pragmatic concerns like integrating vast reservoirs of heterogeneous brownfield data sources, exposing it all as production-grade APIs, and doing it fast. The remorseless logic of these factors leads ineluctably to one conclusion: APIs must derive from the data, not from a schema or from code that has been curated manually, independent of the data. In this talk, we at Hasura wade into the debate to argue for this third way. Ship APIs faster, cheaper, and more reliably with data-first GraphQL development.
Speaker Name
David A. Ventimiglia
Speaker Bio
My name is David A. Ventimiglia, and I am a Solutions Architect at Hasura. I have been a theoretical astrophysicist, a software engineer, a data engineer, and a machine learning engineer. I love writing code, and yet I believe code is better when there's less of it. Now, I work at Hasura where I show customers how much can be accomplished with how little code.