RAII: Resource Acquisition Is Initialization in C++

🚨 Unpopular opinion: C++ is actually safer than Java. Yes, you read that right. Not because C++ is magically safe… But because modern C++ forces you to think correctly. Here’s what most developers miss 👇 🔹 In Java → Garbage Collector hides problems 🔹 In C++ → RAII prevents problems 👉 std::unique_ptr makes ownership explicit 👉 std::optional removes null ambiguity 👉 std::variant replaces unsafe unions 👉 concepts make templates readable 👉 ranges make code expressive And the best part? ⚡ Zero runtime overhead. No GC pauses. No hidden allocations. No surprises. 💡 Reality check: Most people who say “C++ is unsafe” …are actually writing C++98 in 2026. Modern C++ is a different language altogether. If you’re still doing this 👇 int* ptr = new int(10); You’re not writing modern C++. You’re writing legacy code. 👇 Curious question: Would you trust a system more — one that hides memory issues or one that forces you to handle them explicitly? #cpp #moderncpp #programming #softwareengineering #tech #developers #cplusplus #coding #systemdesign

Why I still value my early C projects. 🛠️ High-level frameworks like Java Collections may be fast, efficient and powerful, but understanding the foundations is what makes a developer truly versatile. Back in 2022-23, I spent weeks building out core DSA models: Stacks, Queues, Graphs, and Dictionaries - using nothing but C. I decided to polish the README and make this personal archive a public repo. What’s inside: 🔹 Modular C logic (Models, Headers, and Runners). 🔹 Manual implementation of BST, Stack, Queue & Graph. 🔹 A straightforward look at memory and structure. It’s not over-engineered or complex; it’s just honest, foundational logic. If you’re practicing for interviews or just want to see how these structures look without the abstraction, feel free to explore and share your suggestions! Repo: https://lnkd.in/d9uspV6Z #Programming #ComputerScience #DSA #C

🔹 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

Find the minimum distance between a given start index and any occurrence of a target in the array. Leetcode problem link: https://lnkd.in/gZFkirHw 🔍 Key Takeaways: Used a two-pointer approach to scan from both ends. Kept updating the minimum absolute distance from start. Included the condition left != right to avoid checking the same element twice. ✅ Why this works: Instead of scanning only from one side, this approach checks both ends in each iteration, making the logic structured and efficient. 📘 What I like about this solution: Simple and readable Avoids redundant checks Great example of combining two pointers with distance calculation #Java #LeetCode #DSA #Programming #SoftwareEngineering #Developers #loveToCode

Generic programming in C is not missing. It’s just not handed to you. You can fake it with void*, abuse the preprocessor, or use template-style macros. Or you can generate real code and debug it like normal C. I wrote a breakdown of all approaches and why I prefer code generation. https://lnkd.in/dAGvr-XX

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

🔹 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

🔥 𝗗𝗮𝘆 𝟵𝟴/𝟭𝟬𝟬 — 𝗟𝗲𝗲𝘁𝗖𝗼𝗱𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝟳𝟬. 𝗖𝗹𝗶𝗺𝗯𝗶𝗻𝗴 𝗦𝘁𝗮𝗶𝗿𝘀 | 🟢 Easy | Java The gateway problem to Dynamic Programming — and one of the most iconic problems in DSA. 🪜 🔍 𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 You can climb 1 or 2 steps at a time. How many distinct ways can you reach the top of n stairs? 💡 𝗧𝗵𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁 To reach step i, you either came from step i-1 (1 step) or step i-2 (2 steps). So ways(i) = ways(i-1) + ways(i-2) Sound familiar? It's literally the Fibonacci sequence. 🐇 ⚡ 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵 — 𝗕𝗼𝘁𝘁𝗼𝗺-𝗨𝗽 𝗗𝗣 ✅ Base cases: dp[1] = 1, dp[2] = 2 ✅ Fill dp[i] = dp[i-1] + dp[i-2] for i from 3 to n ✅ Return dp[n] No recursion. No stack overflow. No repeated subproblems. Just a clean bottom-up table. 🧠 📊 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 ⏱ Time: O(n) — single pass 📦 Space: O(n) — can be further optimised to O(1) with just two variables This problem teaches the most important DP lesson: identify overlapping subproblems, store results, build up from the base. Every hard DP problem starts with this same thinking. 𝗔𝗻𝗱 𝘆𝗲𝘀 — 𝗷𝘂𝘀𝘁 𝗹𝗶𝗸𝗲 𝘁𝗵𝗲𝘀𝗲 𝘀𝘁𝗮𝗶𝗿𝘀, 𝘁𝗵𝗶𝘀 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝘄𝗮𝘀 𝗰𝗹𝗶𝗺𝗯𝗲𝗱 𝗼𝗻𝗲 𝗱𝗮𝘆 𝗮𝘁 𝗮 𝘁𝗶𝗺𝗲. 🏔️ 📂 𝗙𝘂𝗹𝗹 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗻 𝗚𝗶𝘁𝗛𝘂𝗯: https://lnkd.in/gS3DX_YW 𝗝𝘂𝘀𝘁 𝟮 𝗺𝗼𝗿𝗲 𝗱𝗮𝘆𝘀. 𝗧𝗵𝗲 𝘀𝘂𝗺𝗺𝗶𝘁 𝗮𝘄𝗮𝗶𝘁𝘀! 🏁 #LeetCode #Day98of100 #100DaysOfCode #Java #DSA #DynamicProgramming #Fibonacci #CodingChallenge #Programming

100 Days of Coding Challenge – Day 38 📌 Problem: Max Consecutive Ones III 💻 Language: Java 🔍 Platform: LeetCode Approach Used: Sliding Window (Two Pointers) 1. Use two pointers (left and right) to maintain a window 2. Count the number of zeros in the current window 3. Expand the window by moving right 4. If zeros exceed k, shrink the window from the left 5. Track the maximum window size (right - left + 1) Time Complexity: O(n) Space Complexity: O(1) 🔗 Problem Link: https://lnkd.in/gcryD9Np 🔗 Code Link: https://lnkd.in/g44uWAsX #100DaysOfCode #Day38 #Java #DSA #LeetCode #ProblemSolving #CodingJourney #SlidingWindow #TwoPointers