Java News Roundup: OpenJDK JEPs, Hazelcast, Quarkus, Hibernate, Koog, JHipster, Introducing Endive

2026-06-01 · Source: InfoQ · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, long

Summary

The Java News Roundup for May 25th, 2026, details significant updates across the Java ecosystem. OpenJDK saw JEP 538 (PEM Encodings of Cryptographic Objects) remain "Proposed to Target" for JDK 27, JEP 528 (Post-Mortem Crash Analysis with jcmd) revert to "Candidate" for JDK 28, and JEP 536 (JFR In-Process Data Redaction) become "Targeted" for JDK 27. JDK 27 early-access Build 24 was also released. Other notable releases include Spring AI 2.0.0-M8, which improved Mistral AI API integration and added Anthropic API rate limit access. Hazelcast Platform 5.7.0 introduced JDK 25 support and GA dynamic diagnostic logging. Quarkus 3.36.0 added an experimental Signals extension and OIDC SPIFFE JWT token support. Hibernate ORM 7.4.0 gained @Temporal and @Audited annotations, a REFRESH_SESSION CacheMode option, and Google Cloud Spanner support. Koog 1.0.0, JetBrains' AI agent framework, reached its first stable release with improved persistence and decoupled HTTP transport. JHipster 9.1.0 enhanced getCurrentUserJWT() and switched Blueprints to TypeScript. Finally, Bytecode Alliance introduced Endive, a JVM-native WebAssembly runtime.

Key takeaway

For Java developers evaluating ecosystem updates, you should prioritize reviewing the JDK 27 JEPs, especially JEP 536 for JFR data redaction, to enhance application security and diagnostics. If you are building AI-driven applications, explore Spring AI 2.0.0-M8 for improved Mistral AI integration and Koog 1.0.0 for stable Kotlin/Java AI agent development. Additionally, consider Endive for future JVM-native WebAssembly runtime needs, and update Hibernate ORM to 7.4.0 for Google Cloud Spanner support.

Key insights

The Java ecosystem is rapidly evolving with new JDK features, AI integration, and improved developer tooling.

Principles

• JDK development prioritizes security and diagnostic tooling.
• AI integration is a key focus for Java frameworks.
• JVM-native WebAssembly runtimes are emerging.

Method

JEP 538 provides an API for encoding/decoding cryptographic objects between PEM text and PKCS #8/X.509 binary formats.

In practice

• Redact sensitive data using JFR's enhanced capabilities.
• Integrate Koog 1.0.0 for stable AI agent development.
• Consider Endive for JVM-native WebAssembly workloads.

Topics

• OpenJDK JEPs
• JDK 27
• WebAssembly Runtimes
• AI Agent Frameworks
• Spring AI
• Hibernate ORM

Code references

• openjdk/jdk
• spring-projects/spring-ai
• mistralai/platform-docs-public
• hazelcast/hazelcast
• quarkusio/quarkus

Best for: AI Architect, NLP Engineer, Software Engineer, Machine Learning Engineer, AI Engineer

Related on AIssential

• Node.js Moves to One Major Release Per Year, Starting with Node 27 — The Node.js project is shifting to one major release per year, with all versions becoming LTS, to ease maintainer burden.
• Google Workspace CLI: Unified Command-Line Tool Built for Humans and AI Agents — The Google Workspace CLI dynamically unifies API access for humans and AI agents, adapting to API changes automatically.
• Is Open Source Dying? — AI contributions and legal replication services are fundamentally reshaping open-source software's purpose and sustainability.
• datasette 1.0a32 — Minor releases are crucial for maintaining system stability and addressing specific integration challenges.
• Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX — A unified, high-performance differentiable drone simulator like Crazyflow accelerates robot algorithm development and enables novel online learning paradigms.
• Top 7 Python Libraries for Large-Scale Data Processing — Python offers a rich ecosystem of libraries for scaling data processing beyond single-machine memory and enabling distributed or real-time workloads.

Open in AIssential →

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