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Building Graph-Based Workflows With Spring AI Alibaba

1. Overview When building AI agents, a single prompt to an LLM is usually not enough. Solving complex tasks requires multiple steps, where the output of one step decides what happens next. However,...

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Java Weekly, Issue 667

1. Spring and Java >> Spring AI Modular RAG and TypeSafe Jev: Retrieve More, Keep Only What Answers [spring.io] Spring AI’s Modular RAG pipeline rewrites and expands a question into focused...

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Prompt Caching Support in Spring AI with Anthropic Claude

1. Overview When working with large prompts, repeatedly sending the same context to the model can increase both latency and costs. This becomes especially noticeable when applications reuse large...

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Documenting Form Parameters With Spring REST Docs

1. Introduction Form-encoded endpoints are common in login and subscription flows, but easy to misunderstand without precise request documentation. API consumers need to know which parameters are...

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Java Weekly, Issue 666

1. Spring and Java >> Performance Improvements in JDK 27 [inside.java] JDK 27 brings performance goodness across the board. This tour highlights measured gains in areas such as HashMap...

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New Features in Java 27

1. Overview Oracle released version 27 of the Java platform. Its predecessor, Java 26, brought HTTP/3 to the HTTP Client API and removed the Applet API. Java 27 has nine JEPS: four are final, and five...

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Java Weekly, Issue 665

1. Spring and Java >> Just-In-Time Compilation for Java Performance: Recent and Ongoing Improvements [inside.java] The JVM’s JIT compilers keep adapting – a quick survey of recent performance...

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The @Find Annotation in Hibernate

1. Introduction In this article, we’re going to look at how to use the @Find annotation in Hibernate. We’ll see what it is, what it’s used for, and how to use it. 2. Setting up Hibernate Before we can...

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Performance Improvements in JDK 26

1. Introduction JDK 26 contains multiple resolved issues and over 1,000 enhancements. A major part of this work focuses on performance across the JDK libraries, garbage collectors, compiler, and...

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A Guide to Structured Output in Spring AI

1. Overview When interacting with chatbots, we’re used to the plain text responses from Large Language Models (LLMs). However, when integrating these LLMs into our application, it becomes a problem to...

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Introduction to FitNesse – An Acceptance Testing Framework

1. Overview While unit and integration tests help developers verify that an application behaves as expected, they typically require programming knowledge to write and maintain. Acceptance tests, on the...

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Introduction to Triton Java API

1. Introduction We use clever engineering to deploy complex machine learning models into production. While model research, training, and fine-tuning are predominantly performed in Python with...

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Upgrading Spring Framework Version in Spring Boot

1. Introduction Spring Boot simplifies Java application development through auto-configuration, dependency management, embedded servers, and production-ready features. It builds on the Spring...

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Introduction to Solon

1. Overview Solon is an enterprise Java framework built independently of Spring. In this tutorial, we’ll introduce Solon theoretically and in practice. First, we’ll start with a greeting endpoint and...

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Java Weekly, Issue 664

1. Spring and Java >> The Arrival of Java 27! [inside.java] Java 27 is here with a lot of goodies – post-quantum TLS, G1 as the default collector everywhere, compact object headers by default,...

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Prompt Caching Support in Spring AI with Anthropic Claude

1. Overview When working with large prompts, repeatedly sending the same context to the model can increase both latency and costs. This becomes especially noticeable when applications reuse large...

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Gson Deserialization and the InaccessibleObjectException

1. Overview Starting with version 9, Java places a strong emphasis on encapsulation. The major feature behind this is the Java Platform Module System (JPMS). It controls how our own packages are...

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Resolving Exception: Cannot Deserialize From Object Value (No Delegate- Or...

1. Introduction Jackson is a Java library commonly used to convert between Java objects and JSON. During JSON deserialization, Jackson may throw an InvalidDefinitionException when it can’t determine...

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Java Weekly, Issue 663

1. Spring and Java >> From Spec-Driven Development to Living Specifications in Java Projects [foojay.io] An interesting Java-focused piece exploreing a more durable model: bringing specifications...

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What’s New in Jackson 3?

1. Overview Jackson has been the most popular JSON processing library in the Java ecosystem for over a decade. After years of incremental updates in the 2.x line, the release of Jackson 3.0 introduces...

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