Technical debt and dead and unused code threaten security, scalability and modernization timelines across enterprise Java estates Azul, the trusted leader in enterprise Java for today’s AI and ...
As organizations advance in their digital transformation, the modernization of legacy applications and the adoption of new technologies are becoming fundamental strategies to drive competitiveness.
Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...
AI on the JVM accelerates: New frameworks like Embabel, Koog, Spring AI, and LangChain4j drive rapid adoption of AI-native and AI-assisted development in Java. Java 25 anchors a modern baseline: The ...
Having introduced its Modern Web Application (MWA) pattern for Java developers late last year, Microsoft is now promoting the cloud-centric concept further by highlighting the benefits of the ...
GitHub has launched a new AI-powered application modernization capability designed to simplify and accelerate upgrades and migrations of legacy .NET and Java applications. Leveraging GitHub Copilot's ...
The move to cloud continues to accelerate. Gartner predicts cloud spending will surpass traditional IT spending by 2025, with more than half (51%) of IT spending in the cloud (compared to 41% in 2022) ...
Covers Java best practices, design patterns, generics, concurrency, and performance optimization through practical examples ...
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