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 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.

Thomas Vitale and Josh Long discuss cloud native best practices, design patterns, and deployment on Kubernetes. They explore the evolution of the 12 factor manifesto, optimizing service exposure with Spring Boot and Istio, and continuous delivery with GitOps. The conversation also includes insights on building microservices and serverless applications using Spring-based methodologies.