Machine Learning in Java - SPAM detection using ONNX
See how to use machine learning in java by building a Spring Boot API for Spam Detection using the ONNX Runtime for Java.
Week in review: 9 February 2026
New authors
Welcome to Zikani Nyirenda Mwase and Bruno Borges, who published their first article on foojay.io this week.
Published this week
Join Our Webinar: Build Agents, RAG Pipelines and More
Unlock Enterprise AI on the JVM with BoxLang AI Build Agents, RAG Pipelines & Multi-Model Workflows — One API, Zero Lock-In Modern …
Reactive Java with Project Reactor
Over the past decade, the Java ecosystem has gradually abandoned the idea that increasing the number of threads is the scalable solution to …
Unikernel: Profiling and Troubleshooting JVM on Nanos Unikernel
Profiling a Java Application Running Inside an Unikernel with JProfiler Unikernels are often associated with minimalism and tight resource …
Shai-Hulud and the npm Worm: How Speed-Optimised Dev Ecosystems Made a Self-Propagating Supply Chain Attack Inevitable
first, a word about ecosystems Before we dive into Shai-Hulud, before we label it “sophisticated” or “advanced” or “next generation,” we …
MongoDB Sharding: What to Know Before You Shard a Collection
When we think about a system that operates at scale, we are usually talking about an application that needs to serve millions of users. This …
How to Customize JaCoCo Report Styling in Your Java Project
JaCoCo is the go-to code coverage tool for Java projects. It integrates seamlessly with Maven, generates detailed HTML reports, and works …