Mastering the Prototype Design Pattern in C++ In software design, efficiency matters. One powerful way to reduce costly object creation is through the Prototype Pattern — a core concept from the Gang of Four design patterns. In this lesson, I walk through: • Why the Prototype pattern matters in real-world systems • A clean UML breakdown (so you actually see the structure) • A step-by-step C++ implementation • A practical S.W.O.T. analysis — when to use it (and when not to) This is part of my ongoing mission with The Ray Code to make design patterns clear, practical, and beginner-friendly. 🎥 Watch here: https://lnkd.in/ghwKyXYg If you're a student, junior developer, or self-taught programmer, this will strengthen your understanding of object creation strategies. 💬 Discussion: Where have you encountered performance issues related to object creation? #CPlusPlus #DesignPatterns #SoftwareEngineering #OOP #ComputerScience #Programming #Coding #Developers
C++ Prototype Design Pattern: Efficiency in Object Creation
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Strategy Pattern in C# -- Animated Code Walkthrough Ever used a giant switch statement to handle different behaviors? There's a much cleaner way. In this short animated video, I walk you through the Strategy Pattern -- one of the most practical design patterns for real .NET projects. What you'll learn: -- The problem with switch/if-else chains -- How interfaces solve it elegantly -- Real C# code example -- Before vs After comparison -- Key takeaways for production code The Strategy Pattern lets you swap algorithms at runtime without touching the calling code. Open/Closed Principle in action! Which design pattern do you use most? Comment below! #CSharp #DotNet #DesignPatterns #StrategyPattern #CleanCode #SoftwareEngineering #Programming #CodeWalkthrough #AspNetCore #TechTips
Strategy Pattern in C# - Animated Code Walkthrough
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In embedded C++, DI looks simple right up to the moment the object graph starts growing. Then it stops being a pattern discussion and becomes a lifetime problem. People often say, “Just use constructor injection.” And yes, that works. But as the system grows, dependency injection stops being only about how dependencies are passed in. It becomes about who creates them, who owns them, how long they live, and how much wiring the design can absorb. I am talking mainly about embedded-style C++ codebases. Not template-heavy compile-time DI, but systems that value explicit object graphs, dynamic polymorphism, predictable behavior, and code that is easy to debug, review, and maintain. In that world, injecting a dependency is rarely just “pass it into the constructor.” You are also deciding whether the dependency is owned or borrowed, whether unique_ptr stays at the composition root or spreads through the graph, whether you need factories to keep construction testable, and whether shared_ptr appears simply because composition got painful. That is why DI often feels harder in C++ than in languages with framework-managed lifecycles. In Java with Spring, the container creates objects, resolves dependencies, and manages lifecycle. In C++, those decisions stay in your code. They are explicit, local, and impossible to ignore. That is both the strength and the cost. C++ gives us precise control over lifetime. What gets harder is scaling that control as the object graph grows. In small systems, explicit wiring feels clean. In larger ones, it can turn into plumbing. In practice, many embedded C++ codebases end up mixing approaches. Constructor injection for clear dependencies. References for borrowed collaborators. unique_ptr where ownership is real. Factory seams where tests need substitution. And only occasionally a container or custom injector when wiring becomes too large to manage by hand. So for me, DI in embedded C++ is not mainly about patterns. It is about how much lifetime and wiring complexity a design can carry before the composition model starts fighting the codebase. How do you handle this in real projects? Do you keep unique_ptr at the composition root? Inject factories for tests? Build your own injector? Or just accept some plumbing as the price of clarity? #EmbeddedSystems #Cpp #SoftwareEngineering #SoftwareArchitecture #EmbeddedSoftware
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🔹 Tight Coupling vs Loose Coupling in C# 🔹 Understanding coupling is key to writing clean, maintainable, and scalable code in C#. Let’s break it down in a simple way 👇 👉 Tight Coupling When classes are highly dependent on each other, it’s called tight coupling. • One class directly creates or controls another class • Hard to modify or test • Changes in one class can break another 📌 Example: A class directly using new keyword to create another class inside it. 👉 Loose Coupling When classes are independent and interact through abstractions (like interfaces), it’s called loose coupling. • Easy to maintain and test • Flexible and scalable • Changes in one class don’t affect others much 📌 Example: Using Dependency Injection and Interfaces instead of direct object creation. 💡 Conclusion: Tight coupling makes code rigid ❌ Loose coupling makes code flexible and professional ✅ If you want to write better C# applications, always aim for loose coupling using principles like SOLID. #CSharp #DotNet #SoftwareDevelopment #CleanCode #Programming #Developers #Coding #DependencyInjection #SOLIDPrinciples #BackendDevelopment #TechLearning
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🚀 Constructors and Destructors: Object Initialization and Cleanup (C++) Constructors are special member functions in C++ that are automatically called when an object is created. They are used to initialize the object's data members and ensure that the object is in a valid state. Destructors are also special member functions that are automatically called when an object is destroyed. They are used to release any resources held by the object, such as dynamically allocated memory, preventing memory leaks. Constructors and destructors are crucial for proper object lifecycle management. #c++ #programming #coding #tech #learning #professional #career #development
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I developed a C++ program that demonstrates the power of Object-Oriented Programming (OOP) concepts specifically focusing on multilevel inheritance. In this project I designed a hierarchy of classes to model a modern smart electric car : 1) Base Class handles core attributes like speed 2) Derived Class extends functionality by adding battery capacity Further Derived Class introduces smart features such as automation 3) Key Concepts Applied: Multilevel Inheritance, Constructor, Encapsulation, Code Reusability and Structured Design This program highlights how complex real world systems can be represented using layered class structures in C++ improving both readability and scalability. Through this project I strengthened my understanding of OOP principles and their practical implementation in building efficient and modular applications.
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While object-oriented programming (OOP) is widely known for improving modularity and scalability, many embedded systems still rely on pure C due to strict resource and safety constraints. In this article, Justine Litto Koomthanam discusses how OOP concepts can be effectively implemented in C to achieve structured, maintainable, and scalable embedded software without relying on C++. https://runsafe.ly/4mzeMNf
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🚀 Honored to share that my post on implementing Object-Oriented Programming using pure C has been published in The Embedded Edit. In resource-constrained embedded systems, C remains the backbone of reliability and performance. Yet with the right design approach, concepts like encapsulation, inheritance-style structuring, polymorphism through function pointers, and modular reusability can be achieved elegantly in pure C. This article explores how disciplined architecture can bring object-oriented thinking into low-level embedded development—without sacrificing efficiency, determinism, or hardware control. A practical topic for engineers building scalable drivers, reusable middleware, and future-ready firmware.
While object-oriented programming (OOP) is widely known for improving modularity and scalability, many embedded systems still rely on pure C due to strict resource and safety constraints. In this article, Justine Litto Koomthanam discusses how OOP concepts can be effectively implemented in C to achieve structured, maintainable, and scalable embedded software without relying on C++. https://runsafe.ly/4mzeMNf
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💡 𝐂#/.𝐍𝐄𝐓 𝐂𝐥𝐞𝐚𝐧 𝐂𝐨𝐝𝐞 𝐓𝐢𝐩 - 𝗡𝘂𝗹𝗹 𝐀𝗿𝗴𝘂𝗺𝗲𝗻𝘁 𝐂𝗵𝗲𝗰𝗸𝘀 🚀 💎𝐖𝐡𝐚𝐭 𝐢𝐬 𝐭𝐡𝐞 𝗔𝗿𝗴𝘂𝗺𝗲𝗻𝘁𝗡𝘂𝗹𝗹𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻.𝗧𝗵𝗿𝗼𝘄𝗜𝗳𝗡𝘂𝗹𝗹() 𝐦𝐞𝐭𝐡𝐨𝐝? The 𝗔𝗿𝗴𝘂𝗺𝗲𝗻𝘁𝗡𝘂𝗹𝗹𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻.𝗧𝗵𝗿𝗼𝘄𝗜𝗳𝗡𝘂𝗹𝗹() method is a convenient way to check for null parameters in your code. 🔥 It can help to prevent runtime errors and make the code more concise, clean and readable. ⚡𝗧𝗵𝗿𝗼𝘄𝗜𝗳𝗡𝘂𝗹𝗹() method is a static method in the System namespace that throws an 𝗔𝗿𝗴𝘂𝗺𝗲𝗻𝘁𝗡𝘂𝗹𝗹𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻 if the specified 𝐨𝐛𝐣𝐞𝐜𝐭 𝐢𝐬 𝐧𝐮𝐥𝐥. ✅ 𝐀 𝐟𝐞𝐰 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝗼𝗳 𝗔𝗿𝗴𝘂𝗺𝗲𝗻𝘁𝗡𝘂𝗹𝗹𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻.𝗧𝗵𝗿𝗼𝘄𝗜𝗳𝗡𝘂𝗹𝗹: 🔸 It is easy to use. Just pass the object you want to check for null to the method, and it will 𝐭𝐡𝐫𝐨𝐰 𝐚𝐧 𝐞𝐱𝐜𝐞𝐩𝐭𝐢𝐨𝐧 𝐢𝐟 𝐭𝐡𝐞 𝐨𝐛𝐣𝐞𝐜𝐭 𝐢𝐬 𝐧𝐮𝐥𝐥. 🔸 Clean and Simplicity code. 🔸 Concise syntax; It is reduce code size and make it easy to read. 🔸 You dont need to use nameOf() method with 𝗧𝗵𝗿𝗼𝘄𝗜𝗳𝗡𝘂𝗹𝗹(). It directly throws the name of the object given as a parameter as an exception. 🎯 𝐇𝐚𝐯𝐞 𝐲𝐨𝐮 𝐮𝐬𝐞𝐝 𝗔𝗿𝗴𝘂𝗺𝗲𝗻𝘁𝗡𝘂𝗹𝗹𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻.𝗧𝗵𝗿𝗼𝘄𝗜𝗳𝗡𝘂𝗹𝗹() 𝐦𝐞𝐭𝐡𝐨𝐝 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐜𝐨𝐝𝐞 𝐛𝐞𝐟𝐨𝐫𝐞? #csharp #dotnet #programming #softwareengineering #softwaredevelopment
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I spent hours crafting this poster — and only a few seconds understanding what it represents. The ?? operator in C# is deceptively simple. On the left: null — absence, uncertainty, unresolved state. On the right: value — clarity, resolution, certainty. In between: ?? — the Null Coalescing Operator. A single symbol that bridges the two. Instead of writing this: string result; if (input != null) result = input; else result = "default"; You write this: string result = input ?? "default"; Four lines → one. Noise → signal. Null → value. That's not just cleaner code. That's intentional design. The best operators in any language don't just reduce keystrokes — they encode a mental model. ?? tells you: "I acknowledge this might be nothing. Here's what to do about it." Elegant. Purposeful. Professional. What's your favorite "underrated" C# operator? Drop it in the comments 👇. #CSharp #DotNet #SoftwareEngineering #CleanCode #Programming #100DaysOfCode #TechDesign
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When modeling scenarios with a fixed set of outcomes — such as parsing user input or handling HTTP requests — developers often rely on enums or inheritance, which can compromise clarity and type safety. C# 15 introduces union types as a more robust alternative. These allow you to define a closed set of types with implicit conversions and pattern matching, ensuring compile-time exhaustiveness. This means the compiler will catch missing cases, reducing runtime errors. For example, a Result<int, Error> type cleanly represents success or failure, aligning with functional programming patterns and improving code safety. I believe union types offer a design shift that makes C# more expressive and safer — especially for handling domain events or API responses. What do you think — how have you handled similar scenarios before union types? #CSharp #DotNet #Programming #SoftwareDevelopment
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