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Table of Contents What Makes This Release Groundbreaking?🎯 Summary🤖 Autonomous AI Agents⚡ Serverless AI Agents on AWS Lambda🔄 Autonomous Agents with BoxLang Scheduler🧬 Multi-Tenant Vector Memory & RAG📚 Document Loaders for 30+ Formats🔌 12+ AI Provider Support📡 Model Context Protocol …

Table of Contents The Quarterly Update CycleCritical Patch Updates (CPU)Patch Set Updates (PSU)Difference With the Six-Month Release CycleDistributor AvailabilityIn this January ReleaseNext Steps The January 2026 OpenJDK quarterly updates are now (or will soon be) available from various OpenJDK distributors. …

Explore real‑world benchmarks, tuning options, and best‑practice strategies to optimize latency, throughput, and memory on modern hardware with Semeru Runtimes, an OpenJDK distribution.

Table of Contents Command completion extends regular completionFix errors and warnings with command completionPerform file- or class-level actionsRefactoring and code transformationUse command completion for navigationAliases for several commandsComplements existing featuresConclusion How many shortcuts can you remember? Three? Five? More? I …

Table of Contents Problem #1: “I see the bug, but I’m too lazy (or busy) to fix it”Problem #2: “My AI Assistant writes buggy code because it doesn’t know our rules”Problem #3: “How do I know if this Project with …

Table of Contents GitLab PagesGitLab CIGenerating pagesResults Writing documentation should be as low-key as possible to remove the pain from the process. One way to achieve this is through Documentation as Code. Setting it up and configuring it may take …

Table of Contents A Quick History LessonForeign Function & Memory (FFM) APIThe Problem With JNIHow The FFM API EvolvedSimple Code ExamplesWhy the FFM API Matters for Raspberry Pi ProjectsPi4J ArchitectureThe FFM TransformationA Community Success StoryBeyond Raspberry PiPi4J Examples Using the …

Memory management remains the primary factor for application performance in enterprise Java environments. Between 2017 and 2025, the ecosystem shifted from manual tuning to architectural selection. Industry data suggests that 60 percent of Java performance issues and 45 percent of production incidents in distributed systems stem from suboptimal Garbage Collection (GC) behavior. This guide provides a strategic framework for selecting collectors based on workload characteristics. It covers the transition from legacy collectors to Generational ZGC, analyzing trade-offs regarding throughput, latency, and hardware constraints with mathematical precision.

Table of Contents IntroductionBackground InfoWarningThe SetupComparing ApproachesBenchmarkConclusion Introduction In this post, we dive into a more advanced topic: pointer arithmetic in Java. With the introduction of the Foreign Function & Memory API (Panama), we can interact with native memory. Usually, …

Table of Contents Speaker/Talk related reasonsOrganization/Program related reasons If you are like me, get the adrenaline rush of getting up on stage and can’t wait to share things that you experienced and learned, then submitting talks to conferences and local …

First of all, Happy New Year 2026! This year is designated in the Chinese Calendar as the Year of the Fire Horse (starting on February 17.). The year 2026 brings not only tremendous energy to AI development but also, in …

Table of Contents What’s a flaky test?First try: retry them all!Second try: fix them all!Third try: embrace the inevitability!Conclusion “Sleep is not a synchronization primitive.” Every test engineer, eventually What’s a flaky test? A flaky test is a test that …