Calling all Java developers—join @speakjava.bsky.social in Redwood City for JavaOne! Connect with experts and industry leaders to learn, collaborate, and explore real‑world solutions across AI, cloud, core Java, and modern frameworks. https://bit.ly/40uKNvK

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🤖 Stay ahead as AI reshapes software!

The #Devnexus AI Engineering Track delivers practical guidance for building production-ready AI systems with Java, architecture, agents, and performance.🚀

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🚨 ONE WEEK AWAY: Get a first look at the 2026 State of Java Report featuring Java champions @speakjava.bsky.social @frankdelporte.be

Register here: https://bit.ly/4ac4eOk

NAM: Feb 18th @ 10am PT | 1pm ET
EMEA: Feb 19th @ 12pm UTC
APAC: Feb 19th @ 12pm SGT

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Java devs want container security - not the hassle : BellSoft survey finds 48% prefer pre‑hardened images over managing vulnerabilities themselves

Java developers want container security, just not the job that comes with it
www.theregister.com/2026/01/30/j...

#Infosec #Security #Cybersecurity #CeptBiro #JavaDevelopers #ContainerSecurity

JDK 25 is the latest LTS release of the Java Platform.

If you’re on JDK 21, learn what’s new and how to migrate without headaches. Join our webinar tomorrow for practical insights and a live demo!

https://bit.ly/4qcE4Sa

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🤖 Stay ahead as AI reshapes software!

The #Devnexus AI Engineering Track delivers practical guidance for building production-ready AI systems with Java, architecture, agents, and performance.🚀

🔗 devnexus.com/schedule/ai

🎟️ Tickets: Devnexus.com

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RAG demos are convincing. Production systems are not.

I wrote up how I handle citations, page-level provenance, and deep links in an Enterprise RAG system built with Java, Quarkus, and LangChain4j. This is about trust, not clever prompts.

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#JavaDevelopers #SoftwareArchitecture

#Day1 hey Today is my first day i am Starting a Dsa Question solving and posting daily 1

Q. Create a Square Star pattern ?
for(int i=0;i<=5;i++){
for(int j=0;j<=5;j++){
System.out.print("*");
}
System.out.println("");
}
#coding #developers #javadevelopers #day1

GenAI for Java Developers 4: Responsible AI In this critical episode, Ayan Gupta is joined by Rory who tackles one of the most important aspects of AI development: building responsibly. Just as you wouldn't want spilled coffee creating a mess, unchecked AI can have serious consequences. This session shows you how to put guardrails in place to ensure your AI applications are safe, fair, and trustworthy. Building on the techniques and applications, this episode demonstrates why responsible AI matters by first showing what happens when safety measures aren't in place. Using an unfiltered local model called Dolphin Mistral, Rory demonstrates how easily uncensored models can be manipulated to produce harmful content, highlighting the critical need for content filtering and safety measures. You'll then learn how GitHub Models and Azure AI provide multiple layers of protection. First, you'll explore how content safety filters create &quot;hard blocks&quot; that prevent harmful queries from even reaching the model, stopping violence, hate speech, and dangerous instructions before they're processed. Next, you'll see how AI models themselves are trained and red-teamed to &quot;soft block&quot; inappropriate requests, refusing to generate harmful content even when prompted. The session includes practical demonstrations of Azure AI Content Safety, showing you how to configure custom filtering thresholds for different categories like violence, hate speech, sexual content, and self-harm. You'll see real-time examples of both filtered and refused requests, and learn how to implement these protections in production applications like the Azure Search OpenAI Demo. Responsible AI isn't optional, it's essential. This session gives you the tools and knowledge to build AI applications that are both powerful and safe. Subscribe to continue learning best practices! Resources: https://aka.ms/JavaAndAIForBeginners https://aka.ms/genaijava 0:00 - Introduction: Why Responsible AI Matters 0:55 - Demonstration: Unfiltered AI Models 1:41 - The Problem with Dolphin Mistral 2:09 - Setting Up Your Codespace 2:42 - GitHub Models Content Safety Features 3:20 - Testing Harmful Content Filters 4:02 - Understanding Hard Blocks vs Soft Blocks 4:44 - Azure AI Content Safety Layers 5:29 - Configuring Custom Filter Thresholds 6:28 - Testing the Azure Search OpenAI Demo 7:21 - Throwing Exceptions for Critical Content 8:00 - Monitoring and Logging in Azure 8:40 - Session Recap: Production Best Practices 9:06 - Wrap-Up and Resources #ResponsibleAI #AIEthics #AzureAI #ContentSafety #AIGovernance #JavaDevelopment #SafeAI #AISecurity #GitHubModels #EthicalAI #AIFiltering

Channel9 GenAI for Java Developers 4: Responsible AI: In this critical episode, Ayan Gupta is joined by Rory who tackles one of the most important aspects of AI development: building responsibly. Just as you wouldn't want spilled coffee creating a mess,… #ResponsibleAI #AIDevelopment #JavaDevelopers

GenAI for Java Developers 2: Techniques Resources: https://aka.ms/JavaAndAIForBeginners https://aka.ms/genaijava In this episode, Ayan Gupta is joined once again by Rory, who takes you on a deep dive into the core techniques that power generative AI applications. Building on the environment setup from Session &quot;GenAI for Java Developers 1: Getting started&quot;, this session explores the different &quot;brewing buttons&quot; of GenAI, each one unlocking a completely different way to leverage AI in your Java applications. Think of it like a coffee machine with different buttons: espresso, cappuccino, latte. Each setting produces a unique result. Similarly, GenAI offers multiple techniques, completions, multi-turn chat, interactive chat, RAG (Retrieval Augmented Generation), and function calling—that enable you to build diverse AI-powered features. Rory demonstrates each technique hands-on using the GitHub Codespaces environment. You'll learn how to implement simple LLM completions for one-turn interactions, build multi-turn conversations that maintain context and history, create interactive chat applications that respond to user input in real-time, implement RAG to ground your AI responses in specific documents and prevent hallucinations, and use function calling to connect AI to business-critical operations like weather APIs and calculators. Each example includes practical code that you can run and modify yourself. By understanding these fundamental techniques, you'll have the building blocks to create sophisticated AI applications. This session builds directly toward the next session, where we'll put these techniques into practice by building three complete applications. Whether you're building chatbots, knowledge bases, or intelligent assistants, these techniques are essential. Subscribe and follow along as we continue this exciting journey! 0:00 - Introduction: Different Techniques, Different Results 0:50 - Setting Up the Code Space 1:04 - Technique 1: LLM Completions 1:50 - Testing Simple Completions 2:16 - Technique 2: Multi-Turn Chat 2:47 - Understanding Chat History and Context 3:30 - Technique 3: Interactive Chat 4:00 - Building a Real-Time Chat Interface 4:28 - Technique 4: RAG (Retrieval Augmented Generation) 5:14 - Grounding AI Responses in Documents 6:10 - Preventing Hallucinations with RAG 6:42 - Technique 5: Function Calling 7:25 - Building a Weather Function 7:52 - Creating a Calculator Function 8:36 - Session Recap: What We Covered 8:53 - Wrap-Up and Next Episode Preview #JavaTutorial #GenerativeAI #RAG #LLM #ChatGPT #FunctionCalling #AITechniques #JavaDevelopment #MachineLearning #OpenAI #GitHubModels

Channel9 GenAI for Java Developers 2: Techniques: Resources: https://aka.ms/JavaA
https://aka.ms/genai

In this episode, Ayan Gupta is joined once again by Rory, who takes you on a deep dive into the core techniques that power generative AI… #GenAI #JavaDevelopers #AIApplications

Promotional banner for Naresh i Technologies advertising a Full Stack Java course with AI-powered mock interviews, taught by Mr. Kishan. The image features a woman smiling and giving a thumbs-up beside a laptop. Details include a Zoom link (zoom.us/j/82579898569), the session date of 3rd December at 8:15 AM IST, and contact number 817 9191 999. The location mentioned is Bhavani Plaza, opposite Asian Satyam Mall, Ameerpet, Hyderabad.

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Still mapping Java enums the old way?

Quarkus 3 + Hibernate 7 now make it effortless with @EnumeratedValue.
No converters. No magic numbers. Just clean, type-safe mapping that works.

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Devoxx UK | The Developer Community Conference | 6th - 7th May, 2026 | London The UK's premier conference for Java developers. Practical insights and strategies to tackle today’s toughest challenges whilst preparing for what’s emerging next.

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Think of your Quarkus app as a nightclub.
Saturday night hits, the line’s around the block — who gets in?

This new hands-on tutorial shows how Quarkus Load Shedding keeps your APIs fast and reliable under pressure.
Read on ↓
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Explore the Future of Java

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Date: 17th Oct 2025
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Planning next year’s training?
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Enterprises running Java apps rely on DevOps for CI/CD pipelines & cloud scaling ☕⚡. Java + DevOps = enterprise speed ☕🚀.

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Traditional JVMs optimize Java code only after traffic hits—slowing performance when it matters most. Learn how Azul Optimizer Hub on AWS reduces warmup time, offloads JIT, and boosts throughput by compiling smarter and faster. https://bit.ly/4pU4Yi8

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No Refactoring, No Problem: How Azul’s JVM Strategy Enables Seamless Java Cloud Migrations - TFiR Azul SVP George Gould shares how their TCK-tested JVMs unlock Java cloud migration—without refactoring—and offer real performance and cost gains.

For many organizations, the biggest barrier to cloud migration isn’t infrastructure—it’s the code. SVP George Gould discusses JVM strategies to tackle seamless migrations.

Check out his interview with TFiR here https://bit.ly/4gmr5ZU

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Promotional poster for Full Stack Java training by Naresh i Technologies at KPHB (beside Metro Station). Training by Mr. Chaitanya. Session date: 15th September 2025 at 4:00 PM IST on Zoom (link: zoom.us/j/84270061150). For more info, contact +91 9642 76 9999. Encourages registration with 'Register Now' button. Includes Naresh i Technologies logo and social media icons (Instagram, Facebook, LinkedIn, X/Twitter). A smiling young man is pictured writing in a notebook.

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Build smarter, not harder.

Haoyi Li will show how object-oriented design can untangle the pain of Java build tools.

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📅 Aug 26 | 📺 bit.ly/4fC8hpm

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GitHub - JohannesRabauer/ai-ascii-adventure: AI ASCII Adventure powered by Java and Ollama AI ASCII Adventure powered by Java and Ollama. Contribute to JohannesRabauer/ai-ascii-adventure development by creating an account on GitHub.

💬 I’d love to hear from other #JavaDevelopers building with #AI:
- Which direction excites you more?
- What persistence layer do you trust for fast prototyping?

🔗 GitHub: github.com/JohannesRaba...

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Exceed Consumer Expectations with High-Performance Java for Retail E-commerce engineering leaders face intense performance demands. Exceed consumer expectations with high-performance Java for retail.

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📢 FREE Java Stream API Workshop!
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3 Reasons Java Could Overtake Python for AI Development Java-based access to virtually every AI library and superior performance make Java an excellent language for AI development.

Think Java isn't fit for AI? Think again.

Python often dominates the conversation, but #Java brings serious advantages to #AI development. Check out this blog post for more! bit.ly/3ZsFRHy

#OpenJDK #Developers #JavaDevelopers #MachineLearning #JVM