Prototype Pattern Improves Performance and Reduces Code Repetition

🚀 Day 24 – Builder Pattern: Designing Objects the Right Way The Builder Pattern is one of the most powerful creational patterns in Java. It solves the age-old problem of complex object creation — without telescoping constructors, without confusion, and without unreadable code. Here’s why the Builder Pattern is a must-have in modern Java architecture: 🔹 1. Solves the Telescoping Constructor Problem Without Builder: new User("Kuldeep", "Vyas", 32, "Pune", true, false); ➡ Hard to read ➡ Easy to misplace parameters With Builder: User.builder().name("Kuldeep").age(32).isActive(true).build(); ➡ Self-descriptive ➡ Error-proof 🔹 2. Enables Immutable Object Design Builder pattern encourages creating: ✔ final fields ✔ immutable objects ✔ side-effect-free models ➡ A perfect fit for microservices, domain models, and concurrency. 🔹 3. Highly Readable & Fluent APIs Builder methods produce code that reads like English: new Order.Builder().withId(1).withItems(items).withTotal(999).build(); ➡ Cleaner code → fewer bugs → easier maintenance. 🔹 4. Handles Optional Fields Gracefully Not every object needs every field. Builder allows selective initialization: ✔ Only required fields ✔ Ignore optional ones ➡ No confusing constructor overloads. 🔹 5. Supports Validation During Build You can enforce rules in build() like: ✔ required fields ✔ non-null checks ✔ business constraints ➡ Prevents invalid object states. 🔹 6. Works Beautifully With Lombok & Records Lombok’s @Builder makes implementation effortless Records + Custom Builders → perfect for DTOs & API models 🔹 7. Clean Separation of Construction vs Representation Builders focus on how objects are created. Objects focus on what they represent. ➡ A clean architectural separation that scales. 🔥 Architect’s Takeaway The Builder Pattern is not just a convenience — it is a design philosophy. It gives you: ✔ Safer object creation ✔ More readable code ✔ Immutable designs ✔ Fewer bugs ✔ Cleaner domain models Exactly what modern enterprise systems need. #100DaysOfJavaArchitecture #BuilderPattern #CleanCode #Java #DesignPatterns #Microservices #SoftwareArchitecture

GraphCompose v1.4 is live. https://lnkd.in/eyJ2DK5b The last time I properly posted about GraphCompose here, it was v1.1.0. Since then, I did what every developer promises not to do: “I’ll just improve a few things.” A few things later, GraphCompose is no longer just a Java PDF generation project. It has moved much closer to a declarative document layout engine. The idea is simple: Instead of manually fighting PDF coordinates, margins, page breaks, and layout edge cases, you describe the document structure: sections, modules, paragraphs, tables, rows, layers, themes. GraphCompose handles layout, pagination, snapshots, and PDFBox rendering behind the scenes. The new v1.4 line adds: table column spans layer stacks for overlay-style layouts page and section backgrounds fluent rich text DSL reusable BusinessTheme design tokens visual regression scaffolding for generated PDFs stronger documentation and release guardrails Basically, I wanted PDF documents to feel less like drawing on a cave wall with coordinates and more like building UI layouts with components. Still Java. Still PDFBox underneath. But now with a much stronger layout engine on top. This release is a big step for the project: from “generate a PDF” toward “compose a designed document.” Repo: GraphCompose by DemchaAV hashtag #Java #OpenSource #PDFGeneration #SoftwareEngineering #BackendDevelopment #JavaDeveloper #PDFBox

Too Many Constructor Dependencies? That’s Not a Spring Problem — That’s a Design Problem** I often hear this: > “Constructor injection becomes confusing when there are too many dependencies… so let’s use @Autowired or field injection.” Let’s pause there. 🚨 The Real Issue If your constructor looks like this: ```java public OrderService( PaymentService paymentService, InventoryService inventoryService, NotificationService notificationService, AuditService auditService, PricingService pricingService, DiscountService discountService ) { ... } ``` 👉 This is NOT an injection problem 👉 This is a **class doing too much** 🧠 What It Actually Means * Violating **Single Responsibility Principle** * High coupling * Hard to test * Hard to maintain * Low readability ❌ Common Misconception “Let’s switch to field injection using @Autowired to make it cleaner” ```java @Autowired private PaymentService paymentService; @Autowired private InventoryService inventoryService; ... ``` 👉 This only **hides the problem**, doesn’t solve it ✅ Better Approach * Break the class into smaller responsibilities * Introduce **facades or domain services** * Group related dependencies into cohesive units Example: ```java public OrderService(OrderProcessingFacade facade) { this.facade = facade; } ``` 🔍 About @Autowired * Not needed for constructor injection (Spring handles it automatically) * Not a solution for ambiguity * If multiple beans exist → use: * `@Qualifier` * `@Primary` 🔥 Engineering Insight > “When constructor injection feels heavy, > it’s your design asking for refactoring.” 🚀 Final Takeaway Don’t switch injection style to fix complexity. Fix the **design**. #SpringBoot #CleanCode #SoftwareArchitecture #Java #BackendEngineering #SystemDesign

🧩 Just published my latest blog — Design Patterns Every Developer Should Know (With Real Examples) 💡 Design patterns are the secret behind clean, scalable & maintainable code — and every developer should have them in their toolkit. In this blog, I've broken down the most important patterns with real-world examples so you can actually apply them in your projects. 🚀 💬 Which design pattern do you use the most? Let me know below! #SoftwareDevelopment #DesignPatterns #CleanCode #Programming #Developer

Most developers write this kind of code at some point: if (obj instanceof File) else if (obj instanceof Folder) It works. But it doesn’t scale. As your system grows, this approach leads to: Increasing conditional logic Tight coupling Code that is hard to extend and maintain This is where the Composite Design Pattern becomes powerful. Instead of asking: "What type of object is this?" You design your system so that every object responds to the same behavior. Now you simply write: root.show(); No type checking. No conditional branching. Just clean, extensible code. The key idea: Treat individual objects and groups of objects uniformly. This pattern is widely used in: File systems UI component trees (Angular, React) Organization hierarchies Menu structures Why it matters in real projects: Reduces complexity Improves readability Makes systems easier to extend without modifying existing code Good design is not about making code work. It is about making code evolve. If you are preparing for interviews or working on scalable systems, this is a pattern worth mastering. #Java #SystemDesign #DesignPatterns #CleanCode #SoftwareEngineering #BackendDevelopment #InterviewPreparation

𝐃𝐞𝐬𝐢𝐠𝐧 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐟𝐨𝐫 𝐄𝐯𝐞𝐫𝐲 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐋𝐞𝐯𝐞𝐥 𝐉𝐮𝐧𝐢𝐨𝐫 → Write clean, flexible code (Builder, Factory, Singleton, Decorator) 𝐌𝐢𝐝→ Build scalable & modular systems (Strategy, Adapter, Facade, Command) 𝐒𝐞𝐧𝐢𝐨𝐫→ Handle complexity like a pro (Prototype, State, Proxy, Interpreter) Patterns aren’t just concepts — they’re your shortcut to writing better code faster. Follow Madhu K. for more coding & system design content #DesignPatterns #SoftwareEngineering #Java #SystemDesign #Coding

Post #8: Page Objects in Cypress are optional, not a default Tools are details. Maintainable abstractions are the goal. Page Objects became popular because they offered structure and reuse. In modern frontend stacks, they can also become a source of indirection, hidden waits, and brittle coupling to UI details. A senior approach is not to accept or reject Page Objects by rule. It is to decide what abstraction improves signal and reduces maintenance. When Page Objects tend to break down 1) They mirror screens instead of user intent - You end up with methods that reflect layout, not behavior. A refactor that preserves behavior still breaks tests because the object was tied to implementation. 2) They hide actions and assertions - A single call can do many things. When a test fails, diagnosis becomes slower because the failure context is buried inside layers. 3) They become a dumping ground - Helpers grow without boundaries. Over time the suite becomes harder to reason about than the product itself. - What works better in Cypress most of the time 1) Small, explicit helpers focused on intent - Prefer “actions” or “tasks” that represent business intent: createOrder, loginAs and addItemToCart. - These should keep selectors and interaction rules consistent while staying readable. 2) Keep assertions close to the test - Assertions are the purpose of the test. Keeping them visible improves review quality and makes failures diagnosable. 3) Use custom commands with discipline - Custom commands are useful, but they should not become a second programming language. If an abstraction hides critical behavior, it is costing you signal. A simple rule that scales Abstract repeated interaction mechanics. Do not abstract away the story the test is telling. In your suite today, do abstractions improve clarity, or do they hide failures and slow diagnosis?

💡 Primary Constructors in C#: Simplifying Class Design Introduced with C# 12 (2023), primary constructors change the way we write and structure our classes — making code more concise and expressive. 📅 The concept Primary constructors allow you to define constructor parameters directly in the class declaration, instead of writing a separate constructor. 🧩 Before (classic approach) public class OrderService {   private readonly IOrderRepository _orderRepository;   private readonly IEmailSender _emailSender;   public OrderService(IOrderRepository orderRepository, IEmailSender emailSender)   {      _orderRepository = orderRepository;      _emailSender = emailSender;   }   public async Task PlaceOrderAsync(Order order)   {     await _orderRepository.AddAsync(order);     await _emailSender.SendOrderConfirmationAsync(order.CustomerEmail);   } } ⚡ After (primary constructor) public class OrderService( IOrderRepository orderRepository, IEmailSender emailSender) {   public async Task PlaceOrderAsync(Order order)   {      await orderRepository.AddAsync(order);      await emailSender.SendOrderConfirmationAsync(order.CustomerEmail);   } } 👉 Same behavior, less boilerplate, clearer intent Advantages ✔️ Less boilerplate → No repeated constructor + assignment ✔️ Better readability → Dependencies are visible in the class signature ✔️ Great for Dependency Injection → Perfect for ASP.NET Core services and microservices ✔️ Consistency with modern C# (records, minimal APIs) Trade-offs ❌ New syntax to learn ❌ Can hurt readability with too many parameters ❌ Less suitable for complex constructor logic ❌ Not ideal when multiple constructors are needed When to use ✔️ Simple services ✔️ DTOs / lightweight classes ✔️ 1–5 dependencies max ✔️ Clean architecture with DI When to avoid ❌ Complex initialization logic ❌ Too many dependencies ❌ Multiple construction flows Conclusion Primary constructors don’t replace classic constructors—they refine how we write simple, dependency-driven classes. 👉 Less noise 👉 More clarity 👉 More modern C# #CSharp #DotNet #Programming #SoftwareEngineering #CleanCode #ASPNetCore #SvetlanaVrabie

GraphCompose v1.1.0 is live. It started as a way to generate PDFs in Java without descending into the usual coordinate-based chaos where one small layout change somehow becomes a personal attack. With v1.1.0, GraphCompose moves further away from low-level PDF drawing and closer to something more useful in real projects: a document layout engine that actually helps you build documents, not just manually suffer through them. What’s new: • compose-first built-in templates • QR codes, barcodes, watermarks, headers/footers, bookmarks, metadata, and page breaks • layout snapshot testing for pagination and geometry regressions • runnable examples for CVs, cover letters, invoices, proposals, and weekly schedules • benchmark and diff tooling • an experimental live preview workflow for faster template iteration The goal is simple: Describe the document structure, and let the engine handle layout, wrapping, pagination, and rendering. That sounds obvious, but anyone who has worked with PDF generation long enough knows it usually is not. Too often, “document generation” really means “draw everything manually and hope page 2 behaves.” This release pushes GraphCompose further toward being a practical platform for real applications, not just a thin wrapper over PDF drawing primitives. Repository: https://lnkd.in/eyJ2DK5b Release: https://lnkd.in/eEASVcVJ Feedback is very welcome. #Java #OpenSource #PDF #DocumentGeneration #SoftwareEngineering

🧩 Structural Design Patterns Structural Design Patterns focus on how classes and objects are organized to build flexible and maintainable systems. They help reduce tight coupling and make code easier to extend. Common Structural Patterns: Adapter → converts one interface to another Bridge → separates abstraction from implementation Composite → treats individual and group objects the same Decorator → adds behavior dynamically Facade → provides a simple interface to a complex system Proxy → controls access to an object Flyweight → saves memory by sharing common data Why does it matter? These patterns are heavily used in real-world Java applications for: legacy integration wrappers service orchestration logging/security file/folder structures 🎯 In short: Structural patterns help different parts of a system work together in a clean and scalable way. Interview One-Liner Structural Design Patterns deal with how classes and objects are composed to build flexible and maintainable structures while reducing tight coupling. #java #designpatterns #softwaredesign #backenddeveloper #springboot #programming