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Intelligent Test Automation in the Java 26 Era: Eliminating Flaky Tests with Modern Concurrency, Stability Engineering and Smart Tooling
Flaky Tests Are a RESULT of Outdated Automation Flaky tests—tests that pass or fail inconsistently without any code changes—have become one of the most expensive problems in engineering teams. Their non deterministic outcome have disturbed the automation landscape and reliability of…
How to Write Your Own DbUnit
Intro You need to reach that (at least) 80% test coverage demanded either by your outer customer or your inner perfectionist. To achieve that noble goal you need a lot of tests — which usually means that you need a lot of test data. Moment after moment, sprint follows sprint, and now…
Reverse Engineering Java: Backtracking Native Crashes
“what abstraction conceals is exposed at the fault site.” Introduction Java applications run on an abstracted, memory safe platform. But when JVM crashes, things collapse at the bottom native layer, and the root cause analysis becomes very hard. This is because the abstractions…
07-2026 | Engineering Decisions
CORE JAVA▪️ Java 26 Is Here, And With It a Solid Foundation for the Future▪️ Beyond Deadlocks: Livelocks, Starvation, and Lock Convoys▪️ The Java Memory Model in Practice: Happens-Before, Volatile, and the Cost of Synchronization API & FRAMEWORKS▪️ Vaadin + Quarkus: The New Approach for…
Beyond Cold Starts: Operating Restored Java Services with OpenJ9 CRIU Support
Checkpoint/restore can do more than reduce startup and warm-up time. OpenJ9 CRIU support lets Java application teams use a warmed JVM as a reusable runtime baseline while retaining standard JVM capabilities for diagnostics and incident response after restore. Checkpoint/restore is often…
Connecting Java Reinforcement Learning to Python Gymnasium
This three-part series builds a Java Reinforcement Learning Python Gymnasium pipeline from scratch. Part 1, this article, explains why the project java-rl-dqn-to-rainbow starts with Gymnasium integration. The main reason is testability. CARLA is a very large and complex environment, so the…
Meet APIdia: A New Approach to API Documentation Browsing
When I became a researcher, my day-to-day programming moved from Java to scientific computing with Python. On this transition, a notable change was the character of the documentation. Java APIs were typically presented as structured systems, organized around packages and classes that could…
Are Classic Design Patterns Still Valid With Modern Java?
The classic GoF design patterns helped developers build maintainable object-oriented software for a long time. In the past years the languages, like Java, have changed a lot; they evolved! What was a design pattern back then became a language feature today. This article analyses which…
Lazy Constants in Java 26: Deferred Immutability and JVM Trust
Java developers have long lived with an awkward trade-off. If you want the clarity and optimization benefits of final, you must initialize eagerly, in a constructor or static initializer. If you want to defer expensive setup until first use, you usually fall back to mutable…
UNDERSTANDING AOT
What is AOT? Ahead-of-Time (AOT) compilation in Java is a crucial technique that translates Java bytecode into native machine code before the application is executed. In traditional Java execution, source code is compiled into bytecode that the Java Virtual Machine (JVM) loads and runs. By…
Solving Spring AI’s UI Challenge with AG-UI’s Java SDK
Introduction: The Missing Link in Java AI Development Ask any Java developer who has tried to build an AI feature in a production application and they’ll tell you the same thing: the backend isn’t the hard part anymore. Spring AI makes it easy to invoke an LLM, define prompts,…
Serverless Functions Reimagined with Java 25
Serverless computing whether on AWS Lambda, Azure Functions, or Google Cloud Functions plays a vital role in modern distributed systems. By abstracting infrastructure away from application code, serverless platforms allow developers to focus on business logic. These functions scale…
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