Java Enterprise is ready for AI today. Jakarta EE integrates with AI providers and frameworks, while Jakarta Agentic AI and Jakarta EE 12 strengthen it.
We eliminated per-record Python-side Protobuf parsing and JVM-to-Python crossings by letting Flink's native Protobuf format decode records directly into typed columns.
By combining Quarkus Flow, LangChain4j, MCP tools, and AGENTS.md, developers can construct deterministic, tool-augmented, and enterprise-governed AI agent loops.
RFC 10008's new QUERY method is safe and cacheable like GET but carries content like POST. This article explains the spec and runs it on Quarkus today.
There is no point in shipping another Java Version Manager unless it is best in class, so I mined the test suites and bug trackers of SDKMAN, jenv, mise, volta, and asdf.
Arrays in Java are fundamental data structures used to store elements of the same type sequentially in memory. They provide a convenient way to manage collections of data where each element is accessed by its index.
Learn how to build protocol-agnostic middleware that supports SOAP and REST integrations with configurable authentication and customer-specific transformations.
This traces Java’s evolution from Oak to a global software platform, revealing its impact on open source, standards, engineering, and the community behind it.
The latest MCP updates introduce security risks like protocol confusion. Quarkus mitigates these vectors using strict request filtering and enterprise security layers.
Building a dynamic API translation proxy that leverages Java 21 Virtual Threads and Redisson distributed locking to safely execute AI-driven schema mapping.
A standardized instruction layer for enabling AI agents to accurately navigate, build, and test applications by enforcing clear architectural and operational constraints.
The Model Context Protocol has evolved to be entirely stateless over HTTP, removing complex session bottlenecks. Pairing this update with cloud-native Java, Quarkus!