Java News Roundup: JDK 26-RC1, Spring Framework, Open Liberty, EclipseStore, Gradle

· Source: InfoQ · Field: Technology & Digital — Software Development & Engineering, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, short

Summary

The Java ecosystem saw significant updates on February 9th, 2026, including the first release candidate of JDK 26, with its General Availability release anticipated for March 17, 2026. JDK 26 will feature 10 JEPs, such as JEP 517 for HTTP/3 in the HTTP Client API and JEP 525 for Structured Concurrency (Sixth Preview). Early-access Build 9 of JDK 27 was also released. Other notable updates include Spring Framework 7.0.4, which introduces caching for Java Annotation instances and a new `requiredBody()` method for `RestClient.ResponseSpec`. Open Liberty 26.0.0.2 beta enhances its `mcpServer-1.0` feature with role-based authorization and a `_meta` field, alongside customizable error messages. EclipseStore 4.0 beta integrates JVector, transforming it into a pure Java vector database with on-disk indexing. Micronaut Framework 4.10.8, Quarkus 3.31.3, Micrometer Application Metrics 1.17.0-M2, Micrometer Tracing Facade 1.7.0-M3, and Gradle 9.4.0-RC1 also received maintenance, milestone, or release candidate updates.

Key takeaway

For AI Architects and Java Engineers evaluating platform upgrades, JDK 26's upcoming GA release on March 17, 2026, with its 10 JEPs, including HTTP/3 and Structured Concurrency, warrants immediate attention. You should begin assessing compatibility and planning for migration to leverage these new features and performance improvements. Consider testing with Gradle 9.4.0-RC1, which supports JDK 26, to ensure build system readiness.

Key insights

The Java ecosystem is advancing with new JDK releases, framework updates, and performance enhancements across key components.

Principles

Method

EclipseStore 4.0 integrates JVector into its GigaMap collection to provide a pure Java vector database with Java native persistence, lazy entity access, and on-disk indexing for nearest neighbor search.

In practice

Topics

Code references

Best for: AI Architect, AI Engineer, Software Engineer, DevOps Engineer, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by InfoQ.