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Jakarta EE 11: Beyond the Era of Java EE
This user guide provides a brief history of Java EE/Jakarta EE and a detailed overview of some of the specifications that will be updated in Jakarta EE 11.
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[email protected]JC-AI Newsletter #13
Two weeks have passed, and it is time to present a new collection of readings that may shape developments, utilization or ideas in the field of artificial intelligence in 2026. While significant activity characterizes the AI field, many unresolved research, ...
New Articles
Table of Contents Reactive Streams: The Contract Behind ReactorProject Reactor Core ConceptsBackpressure: The Hard PartΒ Reactive Does Not Mean FasterMongoDB Reactive Driver: Architecture OverviewIntegrating MongoDB Reactive Driver with Project ReactorPerformance Considerations with Reactive MongoDBReactive Architecture Patterns with MongoDBWhen NOT to Use …
Table of Contents What Youβll LearnWho Should AttendRegister NowJoin the Ortus Community Unlock Enterprise AI on the JVM with BoxLang AI Build Agents, RAG Pipelines & Multi-Model Workflows — One API, Zero Lock-In Modern enterprises want to move fast with …
Table of Contents Which model to use?The ControllerThe Spam Detection ServiceRunning the service via DockerConclusion Believe it or not, it is possible to do Machine Learning in Java. In this article I go over how to implement a Spring Boot …
Two weeks have passed, and it is time to present a new collection of readings that may shape developments, utilization or ideas in the field of artificial intelligence in 2026. While significant activity characterizes the AI field, many unresolved research, …
Table of Contents What’s new in version 8.0?Β General changesQueryable EncryptionExpress query stagesQuery shape and query settingsCompatibility and deprecationsQuery behaviorIndex filtersMigration planning and strategyPre-migration assessmentΒ Staging cluster: your testing hubUpgrade production clusterMonitoringCluster node metricsΒ RecapHow complex is your upgrade?Straightforward upgradesMore complex upgradesConclusion Have …
Table of Contents The problemThe solutionImproving the buildFinishing touchesConclusion A couple of years ago, I developed a small Kotlin GUI to help me rename my files in batch. I actually created it with different JVM frameworks to compare their relative …
Table of Contents π― What’s NewNine New Array Methods for Functional ProgrammingElegant Loop Destructuring SyntaxDistributed Cache Locking for Clustered EnvironmentsDynamic Module Managementβ‘ Performance OptimizationsFully-Qualified Name ResolutionASM Compilation ImprovementsStreaming Binary Responsesπ οΈ Developer Experience EnhancementsMiniServer Warmup URLsRuntime Introspection VariablesModule Binary DirectoryJSR-223 Configuration …
Table of Contents Why RISC-V?StarFive VisionFiveTest BoardGetting StartedHardware SetupInstalling UbuntuJava Installation and TestingInstalling JavaSimple Java TestsConclusion As part of my 2026 learning goals around Java on RISC-V (see this post about x86 versus ARM versus RISC-V), I’ve asking various suppliers …
Table of Contents GraphQL fundamentalsΒ Why GraphQL fits well in the Spring ecosystemChoosing Netflix DGS with Spring for GraphQLProject setupDependenciesDomain model overviewDefining the GraphQL schemaPersistence with MongoDBQuery resolvers with Netflix DGSMutations and input validationResolving relationships in MongoDBThe N+1 query problemUsing DataLoader …
Table of Contents The Chaos and the CrowdFOSDEM isnβt a conference so much as a live snapshot of the open source ecosystem in action.Navigating the FirehoseSo why go in person when you could watch from your sofa?Trends and Tensions in …
Table of Contents The role of this GitHub repositoryWhy Java in Education MattersA Major Milestone: Java in CoderDojoCommunity Content vs. Official Raspberry Pi Foundation MaterialImpact on Raspberry Pi, Pi4J, and the Java EcosystemThe Challenge with the Raspberry Pi FoundationConnecting Existing …
Table of Contents First things first: What is Claude Code? π€The Old Way: The Context-Switching Tax πΈThe Missing Piece: SonarQube MCP Server π§©The Workflow: Generate, Verify, Remediate πStep 1: The Setup π οΈStep 2: The Action (Java Example) βInteracting with your …
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Mary Grygleski
Featured AuthorMary is a Java Champion, and the AI Practice Lead at Callibrity, a consulting firm based in Ohio. She started…
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JC-AI Newsletter #13
Machine Learning Based SPAM Detection Using ONNX in Java
Spring Boot 4 OpenTelemetry Guide: Metrics, Traces, and Logs Explained
Understanding MCP Through Raw STDIO Communication
Reactive Java with Project Reactor
Join Our Webinar: Build Agents, RAG Pipelines & Multi-Model Workflows with BoxLang AI
The Ultimate 10 Years Java Garbage Collection Guide (2016β2026) – Choosing the Right GC for Every Workload
Service Layer Pattern in Java With Spring Boot
Abstracting Data Access in Java With the DAO Pattern
Preparing for Spring Framework 7 and Spring Boot 4
foojay: A Place for Friends of OpenJDK
Dashboard for OpenJDK Update Release Details
JDK14: New Features and Enhancements
Fun with Flags: My Top 10 Resources for JVM Flags
Performance of Modern Java on Data-Heavy Workloads: Real-Time Streaming
Performance of Modern Java on Data-Heavy Workloads: Batch Processing
How does Java handle different Images and ColorSpaces β Part 1
How does Java handle different Images and ColorSpaces β Part 2
How does Java handle different Images and ColorSpaces β Part 3
How does Java handle different Images and ColorSpaces β Part 4
Indexing all of Wikipedia, on a laptop
Working with Multiple Carets in IntelliJ IDEA
Clean Shutdown of Spring Boot Applications
Project Panama for Newbies (Part 1)
Java 17 on the Raspberry Pi
How to Create Mobile Apps with JavaFX (Part 1)
Beginning JavaFX Applications with IntelliJ IDE
Foojay Slack: bit.ly/join-foojay-slack
SpringBoot 3.2 + CRaC
Creating Scalable OpenAI GPT Applications in Java
Stable, Secure, and Affordable Java
Azul Platform Core is the #1 Oracle Java alternative, offering OpenJDK support for more versions (including Java 6 & 7) and more configurations for the greatest business value and lowest TCO.
Apache Kafka Performance on Azul Platform Prime vs Vanilla OpenJDK
Learn about a number of experiments that have been conducted with Apache Kafka performance on Azul Platform Prime, compared to vanilla OpenJDK. Roughly 40% improvements in performance, both throughput and latency, are achieved.
Confession: I usually lose the Flow switching between Quality Gates and Code ππ
But I connected @claudeai + #SonarQube via #MCP
Verify & Fix vulnerabilities without touching the mouse.
Zero context switching. Pure flow. π
https://foojay.io/today/claude-code-sonarqube-mcp/
#Java #AI @foojayio
Hola Java devs! π The #SonarQube AI Code Assurance #article is LIVE on @foojayio ! π
Stop just finding bugs. π Use SonarQube's new AI "Magic Button" to auto-fix them instantly! π€―πͺ
Crush that tech debt fast. πβοΈ #Java #AI @SonarSource
https://foojay.io/today/sonarqube-part-4-ai-code-assurance/