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A series of tutorials on building AI applications with Spring AI. The post Spring AI Series first appeared on Baeldung.
There was a flurry of activity in the Spring ecosystem during the week of April 20th, 2026, highlighting the first release candidates of: Spring Boot, Spring Security, Spring Integ...
InfoQ recently spoke with key members of the Spring team about the significant architectural and functional advancements in Spring Framework 7 and Spring Boot 4. This conversation...
Spring Boot is a widely used framework for building production-ready Java applications with minimal configuration. At the core of Spring Boot lies the concept of Dependency Injecti...
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В новом переводе от команды Spring АйО рассмотрим выход Spring Boot 4 и Spring Framework 7. InfoQ взяли интервью у core команды Spring с целью узнать, куда движется самая популярна...
Spring Boot, a powerful extension of the Spring framework, is designed to simplify the development of new Spring applications through convention over configuration. With its focus...
In microservices, you’ve likely broken a cold sweat more than once when a request suddenly 'vanishes' the moment it hits a Database or a Message Broker. It is a true operational ni...
Hello guys, Artificial Intelligence is no longer a domain reserved for Python developers or machine learning experts.Thanks to tools like Spring AI, Java developers can now build i...
The Model Context Protocol gives AI models a standardized way to call your services, read your data, and use your tools — all without custom glue code. Here is everything a Java de...
The Model Context Protocol finally gives Java a universal plug for AI. Here is how to wire up your first MCP server and client in a Spring Boot application — from scratch, with wor...
With the new Spring AI AgentCore SDK, you can build production-ready AI agents and run them on the highly scalable AgentCore Runtime. The Spring AI AgentCore SDK is an open source...
Learn how to use Anthropic with agent skills for structured output in specific formats via Spring AI. The post Anthropic Agent Skills Support in Spring AI first appeared on Baeldu...
Building real-time applications means balancing user responsiveness with heavy backend processing. A proven solution is to decouple heavy workloads using events and asynchronous pr...
Привет. Меня зовут Николай Пискунов, я руководитель направления Big Data и эксперт курса Cloud DevSecOps по безопасной разработке от Академии вАЙТИ Beeline Cloud. Ранее я уже писал...
Testing Model Context Protocol (MCP) tools in Spring AI is essential to ensure that tools are correctly registered, discoverable, and invocable by MCP clients. Unlike LLM-generated...
Overview As modern applications require greater scalability, resilience, and responsiveness, traditional REST-based architectures are hitting their limits. This article looks into...
The migration guides list dozens of changes. Most articles rehash the changelog. This piece focuses on the three changes that will meaningfully alter how you design APIs in 2026: b...
This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based context manager can incorp...
Most Spring Boot tutorials show you a controller, a service, a repository, and call it a day. That's fine for a TODO app. But what happens when your application grows to 400 module...
SAN JOSE — A survey from BellSoft found that Spring developers don’t know their Dockerfiles affect their security posture, aren’t using hardened images and can’t name their complia...
As AI systems become more interactive, handling incomplete or ambiguous user input becomes critical for building reliable applications. MCP elicitations provide a structured way to...
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