Master Modern C++ with 4 Essential Reads

🔹 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

🔹 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

🔹 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

C++Online Workshop Spotlight 🧠 How C++ Actually Works — Hands-On With Compilation, Memory, and Runtime with Assaf Tzur-El View Full Details: https://lnkd.in/eiPNCgcR Watch Workshop Preview Video: https://lnkd.in/eKeAg3Ze 🗓 May 18–19 — 16:00–20:00 UTC (2 × half-day sessions) 🎯 Suitable for: Advanced Ever seen a bug that: - Disappears in debug mode? - Only appears with optimizations enabled? - Behaves differently across compilers? You’ve encountered the limits of the C++ abstract machine. This advanced workshop dives into the gap between what the C++ standard guarantees and how real implementations behave in practice. Through live demos and hands-on exercises, you’ll build a practical mental model of: • How C++ code is compiled and translated • How memory is laid out and accessed • How language constructs map to runtime behavior • Where implementation details affect correctness, portability, and performance • How to detect fragile assumptions in production code The goal isn’t memorizing rules — it’s developing transferable reasoning skills for debugging, optimizing, and reviewing complex systems with confidence. 👨🏫 Instructor: Assaf Tzur-El Veteran software development consultant with 30 years of experience, specializing in developer excellence, engineering culture, and high-performance teams. Book today! https://lnkd.in/eiPNCgcR #cpp #cplusplus #programming #coding

🔹 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

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

#Day-2 of 30 Days/30 Posts challenge. 👉 upgrading the C++ advanced concepts.... 💢 Tired of C++ initialization headaches? 😵💫 C++11 Uniform Initialization is your cure! C++11 didn’t just add features—it changed how we write C++. One feature that looks simple but is incredibly powerful: Uniform Initialization {} Before C++11, initialization was inconsistent and confusing: int x = 10; int x(10); int x = {10}; Now, with uniform initialization, we can use a single, consistent syntax: 👉 int x{10}; 💡 Why it matters: Prevents narrowing conversions (safer code) Makes initialization consistent across types Improves readability 🔹 Types of Uniform Initialization 👉 1. Direct Initialization int x{10}; 👉 2. Copy Initialization int x = {10}; 👉 3. Value Initialization int x{}; (Default initializes → x = 0) 👉 4. List Initialization (for containers) std::vector<int> v{1, 2, 3}; ⚠️ Important Insight Uniform initialization prevents unsafe conversions: int x{10.5}; // ❌ Error (narrowing not allowed) This is a big win for safety. 🧠 My takeaway What seems like a small syntax change actually enforces: 👉 Safer code 👉 Cleaner design 👉 Consistency across the language Modern C++ isn’t just about writing code—it’s about writing correct and expressive code. Still exploring more of C++11, one feature at a time 🚀 #CPP #ModernCPP #CPlusPlus #Programming #SoftwareEngineering #LearningJourney

Design Patterns remain the key skill for software engineers across the board. We all have the GoF (Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides) original book on our desks, irrespective of which programming languages (#python, #cplusplus, #java, #rust, etc.) we use. We may think that we know everything about this subject but Dmitri Nesteruk's 2nd edition of Design Patterns in Modern C++ is definitely worth reading: https://amzn.to/4mshTWV if we want to produce correct, efficient, readable, and idiomatic/effective code.

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

So continuing from the earlier post Lets discuss the roadmap Most developers stop at C++11… …and think they “know C++”. They don’t. If you really want to write modern C++, here’s a roadmap 👇 ⸻ Step 1: Stop writing raw pointers → Learn std::unique_ptr, std::shared_ptr → Understand ownership (this changes everything) ⸻ Step 2: Think in RAII, not cleanup → Constructors acquire → Destructors release → No “cleanup functions” needed ⸻ Step 3: Make invalid states impossible → std::optional over null → std::variant over flags/unions ⸻ Step 4: Master move semantics → std::move is not magic → It’s ownership transfer ⸻ Step 5: Use C++20 like a pro → Ranges → cleaner pipelines → Concepts → readable templates → Coroutines → async without chaos ⸻ Step 6: Follow a “safe subset” → Avoid raw new/delete → Minimize shared ownership → Be explicit about lifetimes ⸻ 💡 Reality: C++ is not hard. Unstructured C++ is. Once you follow a modern subset, it becomes one of the most elegant languages out there. ⸻ If you want, I can break this into a deep-dive series (with real code examples). Interested? 👇 #cpp #moderncpp #softwareengineering #programming #developers #coding #cplusplus #tech #systemdesign