My learning project: Codex DI Framework

🚀 𝗘𝘅𝗰𝗶𝘁𝗲𝗱 𝘁𝗼 𝗦𝗵𝗮𝗿𝗲 𝗠𝘆 𝗟𝗮𝘁𝗲𝘀𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: 𝗖𝗼𝗱𝗲𝘅 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸! 🚀 Over the last two weeks, I've been working on building a custom Dependency Injection (DI) and Entity Management framework in Java. It's been an exciting journey, and I'm thrilled to share what I've accomplished so far. 🔑 Key Features of Codex Framework: • Dependency Injection : Field and constructor injection with @Autowired and @Qualifier. • Custom ORM : Annotation-based entity mapping with @Entity, @Id, @Column, and relationship annotations. • Automated Schema Generation: Generates database schemas, tables, and foreign key constraints automatically. • Annotation-Based Configuration: Simple setup with custom annotations for entity management. Building this framework has helped me understand how frameworks work and appreciate their complexities. Sharing Codex Framework is my way of contributing to our collective learning journey. This framework serves primarily as a learning resource. I’m eager to receive feedback and suggestions from the community to help refine and enhance its capabilities. 🔗 The framework is now available on GitHub as a learning resource. Feel free to explore, contribute, and share your thoughts https://lnkd.in/eJENr6eW #java #CustomORM #maven #ioc #DependencyInjection #EntityManagement #JavaTech #CodingJourney

Building a Backend Service from Scratch Without Any Framework This project was an incredible learning experience where I built a task management backend service entirely from scratch using Java. No frameworks —just the core Java libraries to handle HTTP requests, connect to MySQL, and implement RESTful APIs manually, without relying on built-in tools like cURL . Key Features: ✔️ Create, update, and delete tasks ✔️ Automatically manage task statuses ✔️ RESTful API built from scratch What I Learned: -> Server-client communication using Java -> MySQL database integration and management -> Problem-solving through iterative development Looking for Feedback! The project is available on GitHub, and I encourage anyone interested to check it out, fork it, and contribute through issues or pull requests. Feedback and collaboration are always welcome! 👉 Check out the project here: [https://lnkd.in/dag6TYc9] #Java #BackendDevelopment #Projects #Programming #Learning

🚀 𝐌𝐚𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐋𝐚𝐦𝐛𝐝𝐚 𝐄𝐱𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧𝐬 𝐢𝐧 𝐉𝐚𝐯𝐚 𝟖 🚀 Lambda Expressions, introduced in Java 8, revolutionized Java programming by making 𝗰𝗼𝗱𝗲 𝘀𝗶𝗺𝗽𝗹𝗲𝗿, 𝗰𝗼𝗻𝗰𝗶𝘀𝗲, 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗿𝗲𝗮𝗱𝗮𝗯𝗹𝗲. They enable functional programming by allowing you to write anonymous functions directly in your code. 🔑 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮 𝗟𝗮𝗺𝗯𝗱𝗮 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻? A Lambda Expression is essentially a shorthand for implementing a Functional Interface. It eliminates the need for anonymous inner classes and reduces boilerplate code. 🛠 𝗞𝗲𝘆 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗼𝗳 𝗟𝗮𝗺𝗯𝗱𝗮 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻𝘀: 1️⃣ 𝗣𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝘀: The input to the lambda function. 2️⃣ 𝗔𝗿𝗿𝗼𝘄 𝗧𝗼𝗸𝗲𝗻 (->): Separates parameters from the body. 3️⃣ 𝗕𝗼𝗱𝘆: The code to execute, which can be a single line or a block. 📌 𝗪𝗵𝘆 𝗨𝘀𝗲 𝗟𝗮𝗺𝗯𝗱𝗮 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻𝘀? 1️⃣ 𝗖𝗼𝗻𝗰𝗶𝘀𝗲𝗻𝗲𝘀𝘀: Replace lengthy anonymous classes with a single line of code. 2️⃣ 𝗥𝗲𝗮𝗱𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Simplify code, especially for short operations. 3️⃣ 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Works seamlessly with Streams API and Functional Interfaces. 💡 𝗥𝗲𝗮𝗹-𝗟𝗶𝗳𝗲 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 𝗼𝗳 𝗟𝗮𝗺𝗯𝗱𝗮 𝗘𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻𝘀: 1️⃣ 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗦𝘁𝗿𝗲𝗮𝗺𝘀: Process collections effortlessly with methods like filter, map, and reduce. 2️⃣ 𝗘𝘃𝗲𝗻𝘁 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴: Simplify event listeners in GUI applications. 3️⃣ 𝗔𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗼𝘂𝘀 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: Easily define tasks for threading. 📝 𝗣𝗿𝗼 𝗧𝗶𝗽𝘀: 🔹 Lambdas can only be used with Functional Interfaces (interfaces with a single abstract method). 🔹 Use method references (ClassName::methodName) for even cleaner code. 🔹 Combine lambdas with Java 8 Streams API for powerful data transformations. 💬 What’s your favorite use case for lambda expressions? Share in the comments! Happy Coding! ❤️ #Java8Features #LambdaExpressions #FunctionalProgramming #JavaProgramming #CodeSimplified #CleanCode #StreamsAPI

𝐼𝑚𝑎𝑔𝑖𝑛𝑒 𝑤𝑟𝑖𝑡𝑖𝑛𝑔 𝐽𝑎𝑣𝑎 𝑐𝑜𝑑𝑒 𝑎𝑠 𝑞𝑢𝑖𝑐𝑘𝑙𝑦 𝑎𝑠 𝑗𝑜𝑡𝑡𝑖𝑛𝑔 𝑑𝑜𝑤𝑛 𝑖𝑑𝑒𝑎𝑠—𝑛𝑜 𝑐𝑜𝑚𝑝𝑖𝑙𝑖𝑛𝑔, 𝑛𝑜 𝑠𝑒𝑡𝑢𝑝. 𝐽𝑢𝑠𝑡 𝑡𝑦𝑝𝑒, 𝑡𝑒𝑠𝑡, 𝑎𝑛𝑑 𝑠𝑒𝑒 𝑟𝑒𝑠𝑢𝑙𝑡𝑠 𝑖𝑛 𝑟𝑒𝑎𝑙-𝑡𝑖𝑚𝑒. 𝑇ℎ𝑎𝑡’𝑠 𝑡ℎ𝑒 𝑝𝑜𝑤𝑒𝑟 𝑜𝑓 𝐽𝑆ℎ𝑒𝑙𝑙: 𝑖𝑛𝑠𝑡𝑎𝑛𝑡 𝑓𝑒𝑒𝑑𝑏𝑎𝑐𝑘, 𝑝𝑒𝑟𝑓𝑒𝑐𝑡 𝑓𝑜𝑟 𝑒𝑥𝑝𝑒𝑟𝑖𝑚𝑒𝑛𝑡𝑖𝑛𝑔, 𝑑𝑒𝑏𝑢𝑔𝑔𝑖𝑛𝑔, 𝑎𝑛𝑑 𝑙𝑒𝑎𝑟𝑛𝑖𝑛𝑔 𝐽𝑎𝑣𝑎 𝑓𝑎𝑠𝑡𝑒𝑟 𝑡ℎ𝑎𝑛 𝑒𝑣𝑒𝑟 𝑏𝑒𝑓𝑜𝑟𝑒!   JShell is Java’s interactive 𝑹𝑬𝑷𝑳 (𝑹𝒆𝒂𝒅-𝑬𝒗𝒂𝒍-𝑷𝒓𝒊𝒏𝒕 𝑳𝒐𝒐𝒑) 𝒕𝒐𝒐𝒍, introduced in Java 9. It allows developers to run Java code snippets directly from the command line, providing immediate feedback without the need for a full program or IDE setup. Ideal for quick testing, learning, and exploring APIs, JShell is a powerful tool for experimenting with Java code interactively.   𝑳𝒂𝒖𝒏𝒄𝒉𝒊𝒏𝒈 𝑱𝑺𝒉𝒆𝒍𝒍:     You can launch the JShell by simply typing `jshell` in your terminal or command prompt. This will open an interactive shell where you can start writing and executing Java code.   𝑲𝒆𝒚 𝑭𝒆𝒂𝒕𝒖𝒓𝒆𝒔 𝒐𝒇 𝑱𝑺𝒉𝒆𝒍𝒍:   1. 𝑸𝒖𝒊𝒄𝒌 𝑪𝒐𝒅𝒆 𝑻𝒆𝒔𝒕𝒊𝒏𝒈 JShell lets you test code snippets without creating an entire class or main method.   2. 𝑬𝒙𝒑𝒍𝒐𝒓𝒊𝒏𝒈 𝑨𝑷𝑰𝒔 You can test Java APIs in real-time to understand their behavior   3. 𝑾𝒓𝒊𝒕𝒊𝒏𝒈 𝑴𝒆𝒕𝒉𝒐𝒅𝒔 𝑰𝒏𝒍𝒊𝒏𝒆 Define methods directly in JShell to test functionality or modularize code.   4. 𝑳𝒐𝒐𝒑𝒊𝒏𝒈 𝒂𝒏𝒅 𝑪𝒐𝒏𝒅𝒊𝒕𝒊𝒐𝒏𝒂𝒍𝒔 Experiment with control structures like loops and conditionals without a full program.   5. 𝑫𝒆𝒇𝒊𝒏𝒊𝒏𝒈 𝒂𝒏𝒅 𝑴𝒐𝒅𝒊𝒇𝒚𝒊𝒏𝒈 𝑪𝒍𝒂𝒔𝒔𝒆𝒔 JShell supports creating classes and modifying them in real-time.   6. 𝑳𝒊𝒔𝒕𝒊𝒏𝒈 𝒂𝒏𝒅 𝑬𝒅𝒊𝒕𝒊𝒏𝒈 𝑪𝒐𝒅𝒆 𝑺𝒏𝒊𝒑𝒑𝒆𝒕𝒔 JShell commands like /list and /edit let you manage and modify snippets on the fly. JShell offers a powerful, interactive way to experiment with Java code, making it an invaluable tool for learning, debugging, and rapid prototyping.   With its instant feedback and ease of use, JShell empowers developers to explore Java's features without the overhead of a full development setup—perfect for those who want to test ideas on the fly and deepen their understanding of the language.

🌱 Day 5: Mastering Spring's IoC and Dependency Injection! 🌱 Day 5 of my Java development challenge was all about diving deep into Spring's Inversion of Control (IoC) and Dependency Injection (DI) concepts, which are foundational pillars of modern Java application development. Key Takeaways: Inversion of Control (IoC): Imagine aisa hai ki jab aap ek cab book karte ho, toh aapko cab driver ke paas jaana nahi padta. Cab service aapke liye driver ko bhejti hai. Yahi hai IoC, jahan control aapke haath se cab service ke paas chala jaata hai. Dependency Injection (DI): Agar aap ek birthday party organize kar rahe ho aur aapke paas photographer, DJ, aur caterer ki zarurat hai. Aapko khud se unhe nahi dhoondhna padega. Instead, aapke friends se aapko unke contact details di jaati hai (inject kiya jaata hai), aur aap unhe directly party me invite kar sakte ho. @Component Annotation: Spring also allows you to manage object creation and injection with annotations like @Component. This lets you define which classes should be managed by Spring as beans, giving you control over how many instances of a particular class Spring should create. IoC aur DI ka use karke hum code ko flexible aur maintainable banate hain, jaise ki hum kisi bhi time apne requirements ko badal sakte hain bina poore code ko modify kiye. Understanding IoC and DI in Spring has been a game-changer in my approach to Java development, enabling cleaner, more modular, and easily testable code. 🔗 Stay tuned for more insights and progress updates in my Java development journey! #JavaDevelopment #SpringFramework #IoC #DependencyInjection #CodingJourney #JavaProgramming #DeveloperCommunity Navin Reddy,Kunal Kushwaha

What Are the Benefits of Groovy Programming Language for Building Domain Specific Languages Groovy is a dynamic, object-oriented programming language for the JVM (Java Virtual Machine). It is widely used for building Domain-Specific Languages (DSLs) due to its flexibility, simplicity, and integration capabilities. Here are the benefits of using Groovy for DSL development: Ease of Syntax and Readability Groovy offers a concise and human-readable syntax that closely resembles natural language. This makes it ideal for DSLs, where simplicity and clarity are key. The language supports optional typing, reducing boilerplate code and making DSL scripts more intuitive. Seamless Integration with Java Groovy is fully interoperable with Java, allowing DSLs to leverage Java libraries and frameworks seamlessly. Java developers can quickly learn and use Groovy, speeding up the adoption of DSLs in Java- based ecosystems. Dynamic Typing and Metaprogramming Groovy supports dynamic typing, which enables developers to create highly flexible and customizable DSLs. With metaprogramming, developers can define methods and properties dynamically, tailoring the language to specific domains without modifying the core language. Built-in Support for Closures Groovy's closures (anonymous blocks of code) simplify implementing concise and expressive DSLs. Closures make it easy to define and execute domain-specific behaviors within a compact syntax. Embedded DSLs Groovy excels at creating embedded DSLs, which are DSLs written directly within Groovy code. This is achieved without requiring additional tools or compilers, making it convenient for developers. String Interpolation and Command Chains Groovy’s string interpolation allows for embedding dynamic expressions within strings, which is useful for creating readable DSLs. Command chain syntax lets developers build clean and natural-looking DSLs that read like declarative scripts. Rich Ecosystem and Tools Groovy’s ecosystem includes tools like Gradle (a build automation tool built with Groovy), showcasing how effective Groovy is for DSLs. The language's libraries and frameworks support developing and executing DSLs. Runtime Flexibility Groovy supports runtime compilation, enabling DSLs to be written, modified, and executed dynamically without recompilation. This feature is handy for prototyping and iteratively refining DSLs. XML and JSON Support Groovy simplifies working with XML and JSON, making it suitable for creating DSLs for data processing, configuration management, and service orchestration. Active Community and Support Groovy has an active community and extensive documentation, which is helpful for developers building DSLs. #GroovyProgrammingLanguage #DomainSpecificLanguages #DSLs

𝗝𝗮𝘃𝗮 𝗥𝗲𝗰𝗼𝗿𝗱𝘀: 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝘀 𝗶𝗻 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁  Have you explored 𝗝𝗮𝘃𝗮 𝗥𝗲𝗰𝗼𝗿𝗱𝘀 yet? Introduced in Java 14 as a preview feature and made stable in Java 16, records are a game-changer for developers who want to simplify their code while maintaining clarity and efficiency. 🚀  In the world of backend development, especially when working with 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁 and microservices, we often deal with immutable data objects like DTOs (Data Transfer Objects). Traditionally, creating these classes required writing a lot of boilerplate code: constructors, getters, `toString`, `equals`, and `hashCode` methods. This repetitive work not only clutters our codebase but also makes it harder to maintain.  With 𝗿𝗲𝗰𝗼𝗿𝗱𝘀, Java offers a concise way to define immutable data structures with just a single line of code! By simply declaring a record, you automatically get all the essential methods implemented for you. This means:   - No more manually writing getters or constructors.   - Immutable objects by default.   - Cleaner and more readable code.  For example, if you're building REST APIs in Spring Boot, records can be an excellent fit for modeling request/response payloads. They align perfectly with modern development practices like immutability and functional programming.  But here's the real question: Are records the future of DTOs in Spring Boot applications? Or do you think they have limitations that prevent them from fully replacing traditional classes? 🤔  Let’s discuss! I’d love to hear your thoughts on how you're using records in your projects or if you see challenges in adopting them. Drop your comments below and let’s start a conversation!  #Java #SpringBoot #BackendDevelopment #JavaRecords #Microservices #Programming #SoftwareEngineering #CleanCode

🎙️☕️Why are pure Java LLM stacks gaining traction in enterprise? A chat with Bruce Hopkins on integrating AI without Python dependencies. LangChain4J + Quarkus could be the game-changer we've been waiting for. 🔑 Key Insights from my chat with Bruce Hopkins on Java, LLMs, and Enterprise Development: 1. Pure Java LLM Integration is Coming - Groundbreaking: One Java file integration with Llama 2 and 3 (no Python, no JNI) - LangChain4J + Quarkus creating a complete Java-native LLM stack - Perfect timing with Project Babylon, Vector API, and Project Valhalla 2. Enterprise Cost Efficiency - Java ranks 5th in energy efficiency and performance - Critical for serverless environments where you pay per GB-second 3. Effective LLM Integration Strategy - "All or nothing" approach works best - Use LLMs for bootstrapping and iteration - Treat AI as an intern-level pair programmer - helpful but needs guidance 4. Modern Java Stack Benefits - Native compilation with GraalVM - Clean integration with vector databases (JVector) - Enterprise-ready with minimal dependencies 💡 Key Takeaway: Java's position in enterprise AI isn't just about legacy compatibility - it's about performance, cost-efficiency, and clean architecture. The next wave of enterprise LLM integration will be Java-first. listen to the podcast episode 👇 https://lnkd.in/eP_pv_5m The ChatGPT for Java book: https://lnkd.in/eGdzcSNi #JavaDevelopment #EnterpriseAI #SoftwareArchitecture #CloudComputing #LLM #airhacks #podcast

RefactorFirst: Identifies and prioritizes God Classes and Highly Coupled classes in #Java codebases you should refactor first. ✂️ Class cycle AND minimum cut identification 🦾 Java 21 support 📈 HTML report 🏎️ Significant performance boost https://buff.ly/3THvywk

Next step in my Java Journey: Exploring Spring Core, IoC, and Dependency Injection -> Next step in my learning journey – diving into Spring Core and the powerful concepts of Inversion of Control (IoC) and Dependency Injection (DI)! As I continue to build my skills in Java, I’m discovering how Spring simplifies development with these core features, helping to create more modular, testable, and maintainable applications. 🔍 Key takeaways so far: Inversion of Control (IoC): This concept flips the traditional way of handling object creation and management. Rather than the application controlling the flow, Spring takes the reins, giving you more flexibility and making it easier to scale. It allows your components to be loosely coupled, meaning they are independent and can be easily swapped or updated without affecting the entire system. Dependency Injection (DI): It’s a key mechanism Spring uses to automatically inject required dependencies into objects, making your code more modular and easier to maintain. Instead of creating objects manually, Spring does it for you! Did you know that IoC is like handing the steering wheel over to someone else to navigate while you focus on the destination? It's one of the key enablers of test-driven development and scalable applications! Excited to keep learning and building with Spring. Let’s see where this journey takes me! 🚀💻 #Java #SpringFramework #IoC #DependencyInjection #SoftwareDevelopment #LearningJourney #TechGrowth