Josh Long

Josh Long, a Java and Kotlin programmer and Spring advocate, shares his thoughts on Java's remarkable evolution. He dives into projects like Valhalla and Panama that are modernizing the language for AI workloads. The discussion touches on advancements like virtual threads and the Vector API, enhancing performance for data-intensive tasks. Josh also highlights Java's resilience and adaptability in a competitive landscape, and how it remains relevant for enterprise solutions amidst the rise of alternative programming languages.

In this episode, Josh Long, a Spring Developer Advocate, shares his insights on the exciting future of Spring Framework 7 and Spring Boot 4. He elaborates on the benefits of the Bean registrar mechanism and discusses the innovations brought by Spring AI. The conversation touches on the use of Cloud Code for upgrading Java versions and the growing importance of community engagement ahead of the Spring One conference. Listeners will also appreciate tips on coding efficiency and the evolution of Java, making this a must-listen for developers!

In this discussion, Josh Long, an original Spring developer, joins forces with Simon Maple to explore AI integration through Spring. They delve into why developers are gravitating towards Spring AI and its growing prominence in AI engineering. Listeners are treated to insights on building a digital assistant for dog adoption, with a humorous twist featuring the viral chihuahua, Prancer. The duo also tackles the integration of conversational memory in AI, enhancing user interactions, while sharing their experiences with PostgreSQL and AI workflows.