

How This Broadcom Dev Uses Spring to Power AI Workflows | Josh Long
May 27, 2025
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.
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Spring AI's Integration Power
- Spring AI is a comprehensive solution for AI engineering integrated within the Spring ecosystem.
- It leverages the JVM's production-ready capabilities to manage AI workflows via familiar REST calls and Spring abstractions.
Viral Dog Adoption Tale
- Josh Long shares a viral adoption ad story about Prancer, a neurotic chihuahua dog.
- The dog's quirky personality and viral fame inspired the idea for an AI-powered dog adoption assistant.
Use Vector Stores for Context
- Use vector stores to perform similarity search and filter relevant data for AI models.
- This optimizes context sent to models, balancing detailed info with cost and performance.