How is Leyden improving Java Performance? Part 3 of 3 of our series on Project Leyden is now available on Foojay. María Arias de Reyna Domínguez wraps up this comprehensive look at how Project Leyden aims to enhance Java's startup time, time to peak performance, and footprint. This concluding article covers the practical aspects and real-world implications of the changes coming to the Java ecosystem. If you've been following parts 1 and 2, this is the piece that ties everything together. New to the series? You can still jump in and get valuable insights. Read the full article: https://lnkd.in/eihVDgKh #Java #ProjectLeyden #Performance #OpenJDK
Project Leyden Enhances Java Performance
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Still writing getters, setters, constructors manually in Spring Boot? 😅 You might be missing out on something really powerful… Lombok 👇 Lombok is a Java library that helps you reduce boilerplate code using simple annotations. 👉 No more writing getters/setters 👉 No more constructors manually 👉 Cleaner and more readable code Just add the dependency and use annotations like: @Getter @Setter @AllArgsConstructor @NoArgsConstructor And boom 💥 your code becomes short and clean. 💡 How to use it? Add Lombok dependency Enable annotation processing (important ⚠️) Use annotations in your class That’s it… Lombok handles the rest 🚀 If you're a Spring Boot developer and not using Lombok yet, you're writing more code than you need to. #SpringBoot #Java #Lombok #CleanCode #BackendDevelopment
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Java is quietly going through one of the most important transformations in its history. And most people are not talking about it. Over the last few releases, especially with Java 25, something interesting is happening: Java is becoming simpler faster and more relevant for modern systems Here is what stands out to me: • Java now ships updates every 6 months which means innovation is continuous, not slow anymore • Performance improvements are so strong that existing apps can run faster without changing code • New features like structured concurrency and scoped values are redefining how we write multi-threaded systems • The language is becoming easier for beginners while still powerful for large scale systems • Java is being optimized for AI-driven and high-scale applications But here is the real insight: Java is no longer trying to compete with newer languages It is evolving into a platform that absorbs their best ideas while keeping its stability That is a dangerous combination Because when a language becomes both easy to use and enterprise-grade it does not fade away it dominates again Most people still think Java is old But the developers who are paying attention know this is a comeback phase Curious question: Are we underestimating Java’s second wave? #Java #SoftwareEngineering #Programming #TechTrends #AI #BackendDevelopment #Developers #Coding #Innovation #FutureOfTech
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I upgraded the dmx-fun library to Java 25. I thought it was important to write a blog post explaining why it's important for you to update as well, if possible. https://lnkd.in/g7i565qp
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🚀 CompletableFuture — Writing truly asynchronous Java code Most of us start with multithreading using Threads or ExecutorService. But things quickly get complicated when: You need to run multiple tasks at the same time You want to combine results from different services You want to avoid blocking the main thread That’s where CompletableFuture changes the game 🔥 Instead of manually managing threads, it allows you to build asynchronous workflows in a clean and structured way. Here’s what makes it powerful: 🔹 Run tasks asynchronously without blocking 🔹 Chain multiple operations seamlessly 🔹 Combine results from different async calls 🔹 Handle exceptions gracefully without breaking flow 🔹 Improve performance in high-load systems It’s widely used in real-world scenarios like: • Microservices communication • API aggregation (calling multiple services and combining responses) • High-performance backend systems The biggest shift? You stop thinking in terms of threads… and start thinking in terms of data flow and task pipelines. 💡 My takeaway: Mastering CompletableFuture helps you write scalable and efficient backend code without the complexity of traditional multithreading. ❓ Question for you: Are you still using traditional multithreading, or have you explored asynchronous programming in Java? #Java #AdvancedJava #CompletableFuture #Multithreading #BackendDevelopment #SoftwareEngineering
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Building LLM apps in Java is no longer experimental. It’s about doing it right. I put together a practical guide using LangChain4j, focusing on real concerns beyond demos: 👉 https://lnkd.in/eU_3mpS6 RAG quality, observability, and failure handling matter far more than prompt tricks.
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Java continues to evolve, and each new release reinforces its relevance in modern software development. Java 26 brings incremental but meaningful improvements focused on developer productivity, performance, and code clarity. Some highlights include: • Pattern Matching (more complete and expressive) Pattern matching keeps expanding beyond instanceof and switch, allowing safer and more concise type checks and deconstruction. This reduces the need for explicit casting and nested conditionals, making code easier to read and less error-prone, especially in complex domain logic. • Structured Concurrency (safer multithreading) Java continues improving its approach to concurrency with structured concurrency APIs. Instead of managing threads manually, developers can treat multiple tasks as a single unit of work, improving error handling, cancellation, and overall readability of concurrent code. • Scoped Values (modern alternative to ThreadLocal) Scoped values provide a safer and more predictable way to share data across threads, especially in concurrent environments. Unlike ThreadLocal, they avoid common pitfalls like memory leaks and unclear data flow. • Foreign Function & Memory API (closer to native performance) This API continues to evolve, enabling Java applications to interact more efficiently with native code and memory outside the JVM. It reduces the need for JNI and allows safer, more performant integrations with system-level libraries. • Ongoing JVM and Garbage Collector optimizations Under the hood, the JVM keeps getting faster and more efficient. Improvements in garbage collection and runtime optimizations translate into better performance, lower latency, and more predictable behavior in production systems. Java’s strategy is clear: no radical disruptions, just consistent, high-impact improvements that compound over time. #Java #SoftwareEngineering #Backend #Programming #TechEvolution
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🚀 Why Java Still Dominates: Java 26 Key Updates Sometimes, tech discussions spark one big question: "Why does Java, a language that’s been around for decades, still rule the programming world?" The answer is simple — Java evolves like nature itself: it adapts, absorbs change, and keeps moving forward. 🌱 As of 17th March 2026, Java 26 is here, bringing key updates that make it faster, cleaner, and more scalable than ever. I’ve distilled the Java 26 updates into a concise blog for busy developers and architects: 1️⃣ What changed 🔄 2️⃣ Previous behavior ⏳ 3️⃣ Current behavior ⚡ 4️⃣ Advantages of these updates 💡 5️⃣ How the changes help achieve these advantages 🚀 Whether you’re designing enterprise systems, optimizing backend performance, or exploring scalable software architectures, these updates matter — and knowing them gives you an edge in building future-proof solutions. Read the full blog here: https://lnkd.in/gTdJGNiV 💬 I’d love to hear your thoughts: Which Java 26 feature excites you the most? How will it impact your projects? #Java #Java26 #JavaDevelopers #BackendDevelopment #SoftwareEngineering #TechTrends #Programming #ScalableSoftware #JavaUpdates #DeveloperCommunity #TechBlog #SoftwareDesign #CleanCode #TechLeadership #InnovationInTech
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Explore new features in Java 17 like sealed classes and pattern matching with code examples, preview setup tips, and Maven config help.
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Today I explored the Executor Service in Java, and it completely changed how I think about multithreading. Instead of manually creating and managing threads (which can get messy very quickly), Executor Service provides a structured and scalable way to handle concurrency using thread pools. Here’s what stood out to me: • You don’t create threads directly — you submit tasks • It manages thread lifecycle efficiently • Supports both Runnable (no return) and Callable (returns result) • Works with Future to track task completion and results • Helps avoid performance issues caused by excessive thread creation One simple shift: From this 👇 new Thread(task).start(); To this 👇 executorService.submit(task); That small change brings better control, scalability, and cleaner code. Still exploring concepts like: • Fixed vs Cached Thread Pools • Future vs FutureTask • How thread pools actually work internally The more I learn, the more I realize — writing concurrent code isn’t just about “making things run in parallel”, it’s about managing resources smartly. If you’ve worked with Executor Service in real projects, I’d love to hear your experience 👇 #Java #Multithreading #BackendDevelopment #LearningInPublic #ExecutorService
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🚀 Mastering Constructor Chaining in Java with this() Understanding local chaining (constructor chaining) is a game-changer when writing clean and reusable Java code. 🔹 Local Chaining means calling one constructor from another constructor within the same class using this(). It helps streamline object initialization and reduces code duplication. 📌 Key takeaways: ✔️ this() must always be the first statement inside a constructor ✔️ It enables constructor overloading with better flow control ✔️ Helps in reusing initialization logic across multiple constructors ✔️ Improves readability and maintainability of code ✔️ Prevents redundant assignments and keeps constructors clean ⚙️ How it works: 👉 When an object is created, the constructor call can be redirected using this() 👉 Based on the parameters passed, the appropriate constructor gets executed 👉 The chain continues until a constructor without this() is reached 💡 Also, don’t confuse: 👉 this → Refers to the current object 👉 this() → Calls another constructor 🔥 Why it matters? Local chaining is widely used in real-world applications like model classes, DTOs, and APIs, where multiple ways of object creation are needed with consistent initialization logic. Mastering this concept strengthens your foundation in Java OOP and helps you write more efficient, structured, and professional code. 💻✨ #Java #OOP #Programming #Coding #Developers #Learning #SoftwareDevelopment
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