programming

18 Aug 2026

DZone Java Zone

Java Enterprise Is Already Ready for the AI Era

Artificial intelligence is changing software engineering, impacting automation, user interaction, data analysis, and application development. Developers are evaluating how their technology stacks fit with these changes. For Java developers in enterprise settings, a main question is whether the Java enterprise ecosystem is prepared for AI.

The short answer is yes. You do not need to abandon Java or wait for a new platform to build AI-enabled applications. Java already provides a mature ecosystem of AI libraries, model providers, APIs, and integration patterns. Jakarta EE offers the capabilities required to deploy these technologies in production-grade enterprise systems today.

18 Aug 2026 5:00pm GMT

07 Aug 2026

DZone Java Zone

How We Cut PyFlink Pipeline p99 Latency from 3-5 Seconds to ~500ms

The Problem: Our p99 Was 3-5 Seconds

Our PyFlink pipeline was missing its latency SLO by seconds. The pipeline itself was straightforward: consume events from Kafka, transform them, serialize them as Protobuf, and write the results to downstream systems. Yet under production load, p99 end-to-end latency was consistently in the 3-5 second range.

Profiling pointed us to an unexpected bottleneck: we were deserializing Protobuf messages in Python, even though the Flink runtime processing our stream was JVM-based. Every record that entered the Python path had to cross the JVM-to-Python process boundary, get parsed by a Python UDF, and then cross back. The business logic wasn't the problem. The doorway was.

07 Aug 2026 4:00pm GMT

Orchestration Meets MCP: Building Governed Agentic Workflows With Quarkus Flow and AGENTS.md

Building autonomous AI agents with large language models (LLMs) is easy when writing single-turn demo scripts. However, moving multi-agent loops into production introduces serious architectural challenges. Agents hallucinate, loop infinitely without reaching convergence, require human approval for high-risk operations, and need standard tool-calling integrations alongside clear operational governance.

Historically, Java developers faced a tough choice: either rely on heavyweight, external workflow clusters (like Temporal or Camunda) that add operational overhead, or hand-craft fragile while loops and custom state machines inside their services.

07 Aug 2026 3:00pm GMT