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New posts on my blog are published! This time I wrote about how I solved real world problems with design patterns: - Visitor: https://lnkd.in/dk_nkgdK - State: https://lnkd.in/dM-vkbyz - Memento: https://lnkd.in/d3F9Fc8i - And also one problem that was a combination of all those 3 patterns: https://lnkd.in/d99n5-w6 In the next week I will publish articles describing more real world problems that I solved using patterns!

The Prototype Design Pattern is a creational design pattern that allows you to create new objects by copying an existing object, known as the prototype, rather than creating new instances from scratch. This pattern is particularly useful when object creation is expensive, complex, or involves many configurations, making cloning a more efficient option. https://lnkd.in/dzCPrpgz

Embracing the Decorator Pattern for Enhanced Functionality The Decorator pattern is a favorite when it comes to extending functionality without altering the original object. I used it in a project to add dynamic features to a core logging system, enhancing it with email alerts and error tracking on the fly. This pattern enabled clean, scalable code while keeping the core functionality intact. It’s a testament to how design patterns can make our lives easier and our code better. What innovative uses of the Decorator pattern have you implemented?

🚀 Just published an insightful piece on the Factory Method Pattern! Highlights: -Encountered a typical challenge while creating a flexible payment processing system. -Initially implemented a direct approach which led to a rigid and unsustainable codebase. -Transitioned to the Factory Method Pattern, enabling a loosely coupled and extensible architecture. -Walked through the evolution from a single-payment system to a multi-payment platform, highlighting the drawbacks of the initial architecture. -Showcased the power of the Factory Method Pattern with a real world example. The article dives deep into how we can embrace change without disrupting the existing client code, all while adhering to the Open Closed Principle (OCP) and Single Responsibility Principle (SRP). By abstracting the creation of objects to subclasses we achieve a design that's easy to extend and maintain. #designpatterns #csharp #softwareengineering #codingbestpractices #solidprinciples #factorymethodpattern

🧩 Design Patterns Unlocked: When and Where to Use Them 🧩 1. Singleton: Ensure a class has only one instance, e.g., configuration settings. 🌍 2. Factory Method: Create objects without specifying the exact class, e.g., UI elements. 🎨 3. Observer: Notify multiple objects of changes, e.g., real-time notifications. 🔔 4. Decorator: Add functionality to objects dynamically, e.g., enhancing features in an app. ✨ 5. Strategy: Define a family of algorithms and make them interchangeable, e.g., payment methods. 💳 6. Builder: Construct complex objects step by step, e.g., creating a multi-layered document. 📄 7. Prototype: Clone objects to avoid costly instantiations, e.g., duplicating complex configurations. 🔄 Master these patterns to elevate your design skills and build more elegant, scalable systems! 🚀 #DesignPatterns #SoftwareEngineering #TechTips #CodeQuality #EngineeringExcellence

🔍 Let's delve into the fascinating realm of design patterns! Today, let's explore the Observer Pattern - a powerful tool in the arsenal of behavioral design patterns! 🌟 🔍 What is the Observer Pattern? The Observer Pattern establishes a dynamic relationship between objects, enabling one object to notify multiple dependents (observers) of any changes in its state. This creates a flexible and loosely coupled architecture, crucial for building robust and scalable systems. ✨ Key Points to Remember: 👉 Behavioral Design Pattern: The Observer Pattern falls under the category of behavioral design patterns, focusing on the interaction between objects. 👉 One-to-Many Relationship: It establishes a one-to-many relationship between a subject and its observers, allowing multiple observers to subscribe to changes in the subject's state. 👉 Subject and Observers: The Observer Pattern consists of four main components - the Subject, Observer, Concrete Subject, and Concrete Observer - each playing a crucial role in facilitating communication and updates between objects. 🛠️ Components Involved: 🔯 Subject: The object being observed, is responsible for maintaining a list of observers and notifying them of any state changes. 🔯 Observer: An interface or abstract class defining the method for receiving updates from the subject. Observers register with a subject to receive notifications. 🔯 Concrete Subject: A concrete implementation of the subject, maintaining the state of interest and notifying observers when changes occur. 🔯 Concrete Observer: A concrete implementation of the observer, registering with a subject to receive notifications and handling updates through the update method. 💡 Why Does it Matter? 🚀 Flexibility: Enables dynamic communication between objects, promoting flexibility and scalability in software design. 🌐 Loose Coupling: Facilitates a loosely coupled architecture, where objects can interact without being tightly coupled to each other. 🧩 Reusability: Encourages reusable and modular code, as subjects and observers can be easily extended and adapted to different scenarios. Ready to harness the power of the Observer Pattern in your projects? Let's create dynamic and responsive systems that adapt to changes with ease! #ObserverPattern #DesignPatterns #SoftwareEngineering 💻✨

The vertical slicing (modules/features) structure is the best I have ever used. It scales well for both FE and BE and keeps the frontend application bundle small by splitting it into separate chunks. This makes the codebase much easier to maintain and clearly shows how different parts of the code are related. Everything else is just libraries or shared folders used across all modules. It's important to keep shared resources minimal to avoid bloating the modules with unnecessary code. For the backend, this approach also makes sense. For example, when deploying Lambda functions on Firebase, the size of the Lambda (code) is crucial. This affects the "cold start" time of functions – the more code a Lambda has, the longer the cold start will be. When I switched from the typical horizontal slicing approach (services, controllers, repositories, etc...) to vertical slicing, the cold start time for each Lambda was reduced by 3-4 seconds. In summary, this approach divides your application into feature-based parts, grouping all related code within the feature's directory and preventing other features from accessing it. There are tools, like NX, that offer incredible architecture management capabilities for larger systems. If you're interested, here's an article on the topic: https://lnkd.in/dyMbcnMz

Hello #connections 🚀 Level Up Your Design Patterns Game! 🚀 Design patterns are essential building blocks for writing clean, scalable, and maintainable code. Let’s explore 6 key patterns that every developer should know! 🔧 1. Factory Pattern 🏭 Need flexibility in object creation? The Factory pattern lets you create objects without specifying the exact class, keeping your code dynamic and easy to extend! 2. Builder Pattern 🛠️ Simplify object construction with the Builder pattern. It's perfect for when you have complex objects with many optional fields. Say goodbye to overloaded constructors! 3. Adapter Pattern 🔌 Want to make incompatible interfaces work together? The Adapter pattern allows objects with different interfaces to collaborate seamlessly! 4. Composite Pattern 🌲 Managing hierarchical structures? The Composite pattern treats individual objects and groups of objects uniformly, making your code more flexible for trees of data! 5. Prototype Pattern 🧬 Cloning objects without depending on their concrete class? The Prototype pattern allows you to create new objects by copying an existing instance. Great for performance-heavy applications! 6. Observer Pattern 👀 Keep your objects in sync with the Observer pattern. When one object changes state, all dependent objects are automatically notified. Ideal for event-driven systems! Mastering these patterns will make your code more modular, easier to maintain, and fun to work with! 💻✨ Which pattern do you use most often? Drop your thoughts in the comments below! ⬇️ Any thoughts are highly appreciated. We all believe in Learning in Public. Let's learn and grow together! 🌱 #DesignPatterns #CodingBestPractices #SoftwareEngineering #FactoryPattern #BuilderPattern #AdapterPattern #CompositePattern #PrototypePattern #ObserverPattern #LearningByDoing #ProblemSolving #TechCommunity #LearningInPublic #KnowledgeSharing #ContinuousLearning #GrowthMindset

Solution to Design Challenge 005: Synchronizing State Across Your React Component Tree https://lnkd.in/gHwxMT6y

Solution to Design Challenge 005: Synchronizing State Across Your React Component Tree https://lnkd.in/gHwxMT6y