🔹 Part 1: C++ Concepts vs SFINAE (Practical Guide) This short video is part of my "C++ Programming Topics" series 👇 And also included in my broader C++ templates playlist. 💡 The problem: SFINAE is powerful—but it often leads to complex, hard-to-read template code. This can cause: -Cryptic compiler errors -Reduced code clarity -Higher learning curve for maintainers ❌ 📌 This is where C++20 Concepts shine: 👉 They provide a clean and expressive way to constrain templates. 💡 What you’ll learn in this video: ⚙️ Step-by-step evolution from SFINAE to Concepts: 1️⃣ Using enable_if in template parameters A cleaner alternative than putting it in the return type 2️⃣ Constraining a template class (Wrapper) Allow only integral types using SFINAE 3️⃣ Generic sum function Handle different types and control the return type 4️⃣ Concepts vs SFINAE Clear comparison in readability and maintainability 5️⃣ Writing your own concept Define a requirement for types that support add and sub 6️⃣ Combining Concepts with type_traits Reuse existing utilities for powerful constraints 🎯 Key takeaway: Concepts don’t replace SFINAE—they simplify it. Use Concepts when readability matters, and SFINAE when you need lower-level control. 🎥 Watch the video: https://lnkd.in/dpiQNQcF 📚 Full playlist: https://lnkd.in/dDNVWvVC #cpp #moderncpp #programming #softwareengineering #templates #concepts #metaprogramming #cleancode
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🔹 Part2: Exploring type_traits in C++ (is_integral & enable_if) This short video is part of my "C++ Programming Topics" series 👇 And also included in my broader C++ templates playlist. 💡 The problem: When writing generic C++ code, not every type should be treated the same way. This can lead to: -Invalid operations on unsupported types -Hard-to-read template errors -Fragile and unsafe generic code ❌ 📌 This is where the type_traits library becomes essential: 👉 It gives you compile-time tools to inspect and control types. 💡 The solution: Understanding and implementing core utilities like: ✔️ is_integral — detect whether a type is an integral type ✔️ enable_if — conditionally enable/disable functions ✔️ type_traits — the foundation of compile-time type logic ⚙️ Bonus insight from the video: You’ll explore simplified implementations to really understand how they work under the hood: 1️⃣ is_integral How the compiler determines if a type belongs to integral types 2️⃣ enable_if How to include/exclude functions during compilation 3️⃣ Combining both Apply constraints to templates for safer and cleaner code 🎯 Key takeaway: Don’t just use type_traits—understand how they work. That’s what unlocks the real power of modern C++ templates. 🎥 Watch the video: https://lnkd.in/d7zPHDzb 📚 Full playlist: https://lnkd.in/dDNVWvVC #cpp #moderncpp #programming #softwareengineering #templates #metaprogramming #cleancode
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🔹 Part 2: C++20 Concepts (Advanced Usage & Clean Syntax) This short video is part of my "C++ Programming Topics" series 👇 And also included in my broader C++ templates playlist. 💡 The problem: Even with basic concepts, many developers still struggle to write clean and scalable constraints. This can lead to: -Overly complex template conditions -Poor readability when combining multiple constraints -Missing out on the full power of C++20 ❌ 📌 This is where advanced Concepts usage makes a difference: 👉 Writing expressive, composable, and clean constraints. 💡 What you’ll explore in this part: ⚙️ Deeper dive into Concepts: 1️⃣ Using the Concepts library Leverage standard concepts directly instead of reinventing constraints 2️⃣ Multiple constraints Combine type_traits and Concepts for precise control over types 3️⃣ Constrained template classes (Wrapper) Write cleaner and safer class templates with clear requirements 4️⃣ C++20 syntactic sugar Simplify template syntax and make intent more readable 🎯 Key takeaway: Concepts are not just about constraints—they’re about clarity. Modern C++ lets you express what you mean instead of how to enforce it. 🎥 Watch the video: https://lnkd.in/dpiQNQcF 📚 Full playlist: https://lnkd.in/dDNVWvVC #cpp #moderncpp #programming #softwareengineering #templates #concepts #metaprogramming #cleancode
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🔹 Type Deduction in C++ (auto, decltype) This short video is part of my "C++ Programming Topics" series 👇 And also included in my broader learning playlist. 💡 The problem: Many developers either over-specify types or rely on guesswork when writing modern C++ code. This can lead to: -Verbose and harder-to-read code -Subtle bugs when types are not what you expect -Reduced flexibility when refactoring ❌ 📌 This is where type deduction becomes powerful: 👉 Let the compiler infer the correct type safely and efficiently. 💡 The solution: Using modern C++ features like auto, decltype, and template deduction: ✔️ Write cleaner and more concise code ✔️ Reduce redundancy ✔️ Let the compiler handle complexity ⚙️ Bonus insight from the video: You’ll see how type deduction works in different scenarios: 1️⃣ auto Great for simplifying variable declarations Improves readability when types are obvious 2️⃣ decltype Useful when you need the exact type of an expression Helps in advanced template and generic programming 3️⃣ Template Type Deduction The core concept behind generic programming Enables flexible and reusable code 🎯 Key takeaway: Don’t fight the compiler—use it. Modern C++ gives you tools to write cleaner, safer, and more maintainable code. 🎥 Watch the video: https://lnkd.in/dZSDe2Pi 📚 Full playlist: https://lnkd.in/dDNVWvVC 📚 Source code, examples, and notes: https://lnkd.in/dy2Kp-4f #cpp #moderncpp #programming #softwareengineering #templates #cleancode
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🔹 Part 1: SFINAE in C++ This short video is part of my "C++ Programming Topics" series 👇 And also included in my broader C++ templates playlist. 💡 The problem: Many developers struggle with controlling which template functions should participate in overload resolution. This can lead to: -Confusing compiler errors -Unintended function matches -Less robust generic code ❌ 📌 This is where SFINAE becomes powerful: 👉 Substitution Failure Is Not An Error allows the compiler to silently discard invalid template instantiations. 💡 The solution: Applying SFINAE techniques to a simple example: int sum(int a, int b) { return a + b; } ✔️ Constrain templates to valid types only ✔️ Prevent invalid overloads from compiling ✔️ Write safer and more expressive generic code ⚙️ Bonus insight from the video: You’ll see how SFINAE works step by step by evolving this basic function: 1️⃣ Basic function behavior Understand the baseline implementation 2️⃣ Applying SFINAE Control when the function is enabled 3️⃣ Safer templates Restrict usage to valid type combinations 🎯 Key takeaway: SFINAE helps you guide the compiler instead of fighting it. It’s a foundational technique for mastering modern C++ templates. 🎥 Watch the video: https://lnkd.in/d7zPHDzb 📚 Full playlist: https://lnkd.in/dDNVWvVC #cpp #moderncpp #programming #softwareengineering #templates #cleancode
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🚀 Level Up Your Modern C++ Game: 4 Essential Reads! C++ has evolved dramatically in recent years. If you’re still writing code like it’s 2003, you’re missing out on the safety, efficiency, and power of the modern standards. To master the language today, you need resources that leverage C++20 and C++23. Here are four books I highly recommend for any developer's shelf: 1️⃣ Programming: Principles and Practice Using C++ (3rd Edition) By Bjarne Stroustrup Who better to learn from than the creator of the language himself? This isn't just about syntax, it’s about fundamental programming principles. The 3rd edition is fully updated for C++20 and C++23, focusing on real-world techniques rather than obscure technicalities. 2️⃣ C++ Software Design By Klaus Iglberger Writing code is easy, designing maintainable software is hard. This book is a masterclass in managing dependencies and abstractions. It bridges the gap between classic design patterns and modern C++ capabilities to help you build scalable systems. 3️⃣ C++ Memory Management By Patrice Roy Manual memory management is a double-edged sword. It offers unparalleled flexibility but can lead to critical errors if mishandled. Patrice Roy provides a deep dive into C++ memory mechanisms, teaching you how to automate and optimize for safer, leaner program design. 4️⃣ C++ in Embedded Systems By Amar Mahmutbegović The embedded world is still heavily dominated by C, but modern C++ is a game-changer for firmware. This guide is perfect for developers looking to transition to C++ in resource-constrained environments, ensuring your solutions are robust and safe without sacrificing performance. Modern C++ is more than just a language, it's a powerful toolset for building the future. 💬 Do you have a favorite C++ book that changed the way you code? Let me know in the comments! #embeddedfirmware #cpp #cppprogramming #softwareengineering #embedded #coding #moderncpp #developercommunity
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.𝗡𝗲𝘁 𝟭𝟬 - 𝗖# 𝟭𝟰 𝗝𝘂𝘀𝘁 𝗠𝗮𝗱𝗲 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝗶𝗲𝘀 𝗖𝗹𝗲𝗮𝗻𝗲𝗿 - 𝗳𝗶𝗲𝗹𝗱 𝗸𝗲𝘆𝘄𝗼𝗿𝗱 In older C# code, if we wanted to add logic inside a property, we usually had to create a separate private variable. With C# 14, we can now use the 𝗳𝗶𝗲𝗹𝗱 keyword inside a property accessor. It gives direct access to the compiler generated backing field, so we can keep the code shorter and cleaner. 𝗕𝗲𝗳𝗼𝗿𝗲 public class Student { 𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝗶𝗻𝘁 _𝗺𝗮𝗿𝗸𝘀; public int Marks { get => _marks; set => _marks = value < 0 ? 0 : value; } } 𝗪𝗶𝘁𝗵 𝗳𝗶𝗲𝗹𝗱 𝗶𝗻 𝗖# 𝟭𝟰 public class Student { public int Marks { get; set => 𝗳𝗶𝗲𝗹𝗱 = value < 0 ? 0 : value; } } 𝗪𝗵𝗮𝘁 𝗰𝗵𝗮𝗻𝗴𝗲𝗱? We no longer need this line: private int _marks; The compiler creates the backing field for us, and field lets us use it directly inside the property accessor. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗶𝘀 𝘂𝘀𝗲𝗳𝘂𝗹 • Cleaner code. • Less boilerplate. • Same control over validation or simple logic. #dotnet #csharp #softwaredevelopment #dotnetdev #programming
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How Two Classes Communicate in Modern C++ (Composition, References/Pointers, Interfaces, and Friend Class):- In modern C++, classes do not work alone. They interact with each other to share responsibilities and build complete applications. This interaction can be designed in different ways, such as composition, references or pointers, interfaces, and friend class. Understanding these communication methods is important because the right choice leads to cleaner, safer, and more maintainable code. Introduction How Two Classes Communicate in Modern C++ Composition, References/Pointers, Interfaces, and Friend Class In modern C++, software is built by dividing a problem into multiple classes, where each class has its own responsibility. But a single class usually cannot solve everything alone. To build real applications, classes must communicate with each other so they can share data, request services, and work together to complete a task. This is why understanding how two classes communicate is an important part of object-oriented programming (OOP) and software design. What does it mean? When we say two classes communicate, we mean: one class uses another class one class owns another class one class depends on another class one class implements a contract for another class one class may even get special access to another class In C++, this communication can happen in different ways, such as: Composition References / Pointers Interfaces Friend class Each method represents a different relationship between classes. Why is this important? Understanding class communication is important because it directly affects: code readability maintainability reusability testability scalability If classes communicate in the wrong way: code becomes tightly coupled changes become difficult debugging becomes harder reuse becomes limited If classes communicate in the right way: the design becomes cleaner the system becomes easier to extend testing and maintenance become simpler So, choosing the correct relationship between classes is a key part of writing good modern C++ code. #ModernCpp #CppProgramming #OOP #SoftwareDesign #CleanCode #SoftwareEngineering #Programming
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Built a simple C++ Compiler from Scratch! Sharing my latest project - a simple yet functional C++ compiler built from the ground up using Flex, Bison, and ANTLR4. This project dives into the core phases of compilation and helped me strengthen my understanding of how programming languages actually work behind the scenes. Key Features: • Lexical Analysis using Flex • Syntax Parsing using Bison & ANTLR4 • Three Address Code (TAC) Generation • Basic Assembly Code Generation • Detailed logging of each compilation phase How it works: 1. Source code is tokenized into meaningful units 2. Tokens are parsed based on grammar rules 3. Intermediate code (TAC) is generated 4. Final pseudo-assembly code is produced What I learned: Building a compiler from scratch gave me hands-on experience with: • Language design fundamentals • Parsing techniques and grammar rules (Bison & ANTLR4) • Intermediate representations • Low-level code generation concepts 🛠️ Tech Stack: C++ | Flex | Bison | ANTLR4 | Makefile 📌 Example outputs include: ✔ Token logs from lexical analysis ✔ Three Address Code ✔ Assembly-like instructions This project is a small but meaningful step into the world of compilers and systems programming. 🔗 GitHub Repo: https://lnkd.in/ggkcdTyV I’d love to hear your thoughts or suggestions for improvement! #CPlusPlus #CompilerDesign #Flex #Bison #ANTLR4 #SystemsProgramming #SoftwareEngineering #LearningByBuilding #BIE #bioinformatics #BAU
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💻 Great .NET insights from Steven Giesel. This post dives into practical development concepts with clear explanations and real code examples—always a great resource for developers looking to sharpen their skills. 👉 https://lnkd.in/gp8vTSkr #dotnet #SoftwareDevelopment #Programming #DevCommunity
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Free course on "Calculator implementation in C++ using Expression Grammar (context free grammar)" From Chapter 6 of the book "Programming: Principles and Practice using C++" by Bjarne Stroustrup. I have tried to share my learning experience while converting Expression Grammar into the Calculator program using C++. Hope, it will help people like me to understand the concepts in a faster way and help to resolve doubts. While coding the program, I am also sharing the thought process which goes on in developers mind. We will face compile-time, run-time errors and then we will resolve them using gdb debugger. Implementing Expression Grammar in C++ gives us a bit of understanding on how the parsing works. Instructor: Kashinath Chillal (Founder, Aloraq Software (OPC) Pvt. Ltd.) https://lnkd.in/gX8eXRK3
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