Spring AI Explainable Agents: Capture LLM Tool Call Reasoning

Explainable AI agents aim to make the decision-making process of large language models (LLMs) transparent, especially when tools are invoked…

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A Guide to Using Recursive Advisors in Spring AI

AI applications often require iterative interactions with language models to refine outputs, execute tools, or validate responses. Instead of manually…

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The First JVM-Native AI Agent Frameworks —And Why Rod Johnson Built One of Them

Spring’s creator re-entered open source to bring GOAP-powered agent planning to the JVM. JetBrains shipped a coroutine-first competitor the same…

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Building an AI Agent in Java with the Embabel Framework

Artificial Intelligence (AI) is steadily moving from research labs into production systems, and developers are seeking frameworks that facilitate easier…

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