Vijay Narayan Mishra’s Post

API vs REST API — Quiz Time 1. API stands for?   A) Application Programming Interface   B) Advanced Program Internet 2. REST API uses?   A) HTTP   B) FTP 3. REST API uses?   A) JSON   B) XML 4. Every REST API is an API?   A) Yes   B) No 5. Every API is REST API?   A) Yes   B) No Comment your answers and check your knowledge. #API #RESTAPI #Programming #WebDevelopment #Coding #Developer #Tech #Backend #LearningToCode

🚀 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗖𝗟𝗥 (𝗖𝗼𝗺𝗺𝗼𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗥𝘂𝗻𝘁𝗶𝗺𝗲)? — 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 𝗦𝗶𝗺𝗽𝗹𝘆 𝗳𝗼𝗿 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 & 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 If .NET is a system, then 𝗖𝗟𝗥 𝗶𝘀 𝗶𝘁𝘀 𝗵𝗲𝗮𝗿𝘁 ❤️ — it makes everything run smoothly! 🔹 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗖𝗟𝗥? CLR (Common Language Runtime) is the 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗲𝗻𝗴𝗶𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 .𝗡𝗘𝗧 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. 👉 In simple words: 𝗖𝗟𝗥 = 𝗧𝗵𝗲 𝗲𝗻𝗴𝗶𝗻𝗲 𝘁𝗵𝗮𝘁 𝗿𝘂𝗻𝘀 𝘆𝗼𝘂𝗿 .𝗡𝗘𝗧 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 🔹 𝗛𝗼𝘄 𝗖𝗟𝗥 𝗪𝗼𝗿𝗸𝘀 👉 C# Code → IL Code → CLR → JIT → Machine Code → Execution ✔️ CLR loads IL code ✔️ Uses JIT compiler to convert it into machine code ✔️ Executes the application 🔹 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗼𝗳 𝗖𝗟𝗥 ✅ 𝗠𝗲𝗺𝗼𝗿𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (𝗚𝗮𝗿𝗯𝗮𝗴𝗲 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻) Automatically allocates & frees memory ✅ 𝗝𝗜𝗧 𝗖𝗼𝗺𝗽𝗶𝗹𝗮𝘁𝗶𝗼𝗻 Converts IL into machine code at runtime ✅ 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 🔐 Ensures safe and secure execution ✅ 𝗘𝘅𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 Handles runtime errors efficiently ✅ 𝗧𝘆𝗽𝗲 𝗦𝗮𝗳𝗲𝘁𝘆 Ensures correct use of data types ✅ 𝗧𝗵𝗿𝗲𝗮𝗱 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 Manages multiple threads execution 🔹 𝗪𝗵𝘆 𝗖𝗟𝗥 𝗶𝘀 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁? 💡 No need to worry about memory leaks 💡 Handles low-level system operations 💡 Makes development faster & safer 🎯 𝗦𝗶𝗺𝗽𝗹𝗲 𝗔𝗻𝗮𝗹𝗼𝗴𝘆 (𝗘𝗮𝘀𝘆 𝘁𝗼 𝗥𝗲𝗺𝗲𝗺𝗯𝗲𝗿 💡) 👉 CLR = Manager of a company • Takes instructions (IL code) • Assigns work (JIT) • Manages resources (memory, threads) • Ensures everything runs smoothly 🔥 𝗢𝗻𝗲-𝗹𝗶𝗻𝗲 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗔𝗻𝘀𝘄𝗲𝗿: “CLR is the runtime environment in .NET that executes IL code and provides services like memory management, security, exception handling, and JIT compilation.” 💬 Understanding CLR is key to mastering .NET fundamentals! . . . . . . . . . . #DotNet #CSharp #CLR #Programming #SoftwareDevelopment #Developers #Coding #InterviewPrep #TechBasics #JIT #GarbageCollection #SoftwareEngineering

Your code is not slow because of the language. It’s slow because of decisions. Most common mistakes: • unnecessary loops • repeated API calls • poor database queries Switching tech won’t fix this. Thinking better will. Performance is not magic. It’s design. Have you faced this? #softwaredevelopment #programming #developers #coding #techtips

𝗠𝗼𝘀𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝘂𝘀𝗲 𝗖#... But very few actually understand 𝘄𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗮𝗳𝘁𝗲𝗿 𝗵𝗶𝘁𝘁𝗶𝗻𝗴 𝗥𝗨𝗡. This visual breaks it down step by step: • How C# code is compiled into IL • How the .NET runtime (CLR) manages execution • How JIT converts it into machine code If you’ve ever been 𝗰𝗼𝗻𝗳𝘂𝘀𝗲𝗱 about: – how your code actually runs – what CLR really does – or why performance behaves the way it does This will make things much clearer. Understanding this isn’t just theory — it helps you write better, faster, and more reliable code. 𝗪𝗵𝗮𝘁 𝗽𝗮𝗿𝘁 𝗼𝗳 𝗖# 𝗼𝗿 .𝗡𝗘𝗧 𝗱𝗼 𝘆𝗼𝘂 𝗳𝗶𝗻𝗱 𝗵𝗮𝗿𝗱𝗲𝘀𝘁 𝘁𝗼 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱? #csharp #dotnet #programming #softwaredevelopment #backenddevelopment #developers #aspnetcore #fullstackdeveloper

Class DTO vs Record DTO — something I’ve been thinking about a lot while working on recent APIs. Both solve the same problem (data transfer), but they behave very differently in practice. I still prefer class DTOs for request models and anything that needs flexibility. They just fit naturally with model binding and evolving data. Records, on the other hand, feel much cleaner for responses and read-only data. The immutability and value-based equality make them a solid choice in modern .NET apps. In most real-world projects, it’s not one vs the other — it’s about using both where they make sense. Curious how others are approaching this in their codebases. #dotnet #aspnetcore #csharp #softwareengineering #backenddevelopment #webapi #cleanarchitecture #developers #programming #dotnetdeveloper #devtips

Ever merged modulo with dynamic programming and watched the problem shrink instantly? In competitive programming, the difference between a good solution and a great one is often not speed alone, but state reduction. This is learned from CodeForces itself. This problem is a clean example: instead of thinking in terms of all subset sums, we only care about the remainder after division by k. That shift matters in contests because it saves both time and mental bandwidth and some key ideas that can help you- • Read the problem as a subset-sum divisibility check, not as a full-sum enumeration problem. • Recognise that modulo preserves addition and other operations, so every number can be replaced by its remainder. • Analyse constraints early: a full combinatorial DP is too large, but a remainder-based state fits. • Select the right approach: dp[r] tells whether a remainder r is reachable. • Implement with state compression: update from dp[i][r] to dp[r] carefully. • Debug edge cases like r = 0, repeated values, and transitions that wrap around k. Try solving this problem for instance - https://lnkd.in/gJBE8Qdi What most people miss is that CP improvement is rarely passive practice. It is pattern recognition under pressure. The same mindset appears in real engineering: reduce the state, constrain the search space, and optimize what truly matters instead of brute-forcing every possibility. How often do you pause and ask whether the problem can be redefined before you try to solve it? Follow Vishu Kalier for more such insights. #CompetitiveProgramming #DynamicProgramming #ModuloDP #DSA #Algorithms #ProblemSolving #Coding #SoftwareEngineering #cfbr #Eternal #Leetcode #Codeforces

API vs REST API — Quick Quiz for Developers Let’s test your knowledge: 1️⃣ What does API stand for? A) Application Programming Interface B) Advanced Program Internet 2️⃣ REST API uses which protocol? A) HTTP B) FTP 3️⃣ REST API usually uses which data format? A) JSON B) XML 4️⃣ Is every REST API an API? A) Yes B) No 5️⃣ Is every API a REST API? A) Yes B) No Comment your answers below 👇 #API #RESTAPI #WebDevelopment #Programming #Developers #Coding #SoftwareDevelopment #Tech #Backend #LinkedInDevelopers

💻 The code works… But something still feels wrong. Every developer has faced this. ✔ No errors ✔ Output is correct ❌ But code feels messy That’s when I realized… 👉 “Working code” is not “Good code” Bad signs: - Too many responsibilities in one class - Hardcoded values everywhere - Difficult to read after 2 days What I learned: Clean code is not optional. It’s what saves you later. Now I try to follow: ✔ Single Responsibility ✔ Proper naming ✔ Simple logic Still learning every day 🚀 #dotnet #csharp #softwaredeveloper #coding #cleancode

One thing I learned as a developer: Understanding the problem is harder than writing the code. Recently I had a situation: Everything looked correct, but the system behaved unpredictably. Instead of rewriting code, I: - checked logs - reproduced the issue step by step - analyzed data flow Turned out the issue was in configuration, not logic. Lesson: - Don’t rush into coding - Debug first, code later #programming #debugging #backend #developers

🚀 How C# Code Becomes Machine Language (In Simple Terms) Ever wondered what really happens when you hit Run in C#? It’s not magic—it’s a beautifully engineered pipeline 👇 💡 Step-by-Step Flow (Simplified) 1️⃣ You write C# code Example: #Sample_Code Console.WriteLine("Hello World"); 2️⃣ Compilation (csc.exe) 👉 Your code is converted into Intermediate Language (IL) — not machine code yet Think of IL as a universal language understood by .NET 3️⃣ Assembly Creation (.exe / .dll) 👉 IL + Metadata (info about types, methods, references) = Assembly 4️⃣ CLR (Common Language Runtime) kicks in 👉 Acts like a smart manager ✔ Memory management (GC) ✔ Security checks ✔ Exception handling 5️⃣ JIT Compiler (Just-In-Time) 👉 Converts IL → Native Machine Code (only when needed) Example: * First time method runs → compiled * Next time → reused (fast ⚡) 6️⃣ CPU Executes 👉 Finally, your code runs as machine instructions (0s & 1s) 🎯 Real-Life Analogy 🧑🍳 C# Code = Recipe 📄 IL Code = Universal Recipe Format 👨🍳 JIT = Chef cooking fresh dish 🔥 Machine Code = Ready-to-eat food 💥 Why This Model is Powerful ✔ Platform Independence → Same IL runs anywhere with CLR ✔ Performance → JIT optimizes at runtime ✔ Security → Code verification before execution ✔ Memory Efficiency → Garbage Collector handles cleanup 🔥 Pro Tip (Used by Architects) Use ReadyToRun / AOT when startup performance matters (e.g., microservices) Use JIT when runtime optimization is more important 📌 Key Takeaway C# doesn’t directly compile to machine code 👉 It uses a 2-step smart execution model (IL + JIT) And that’s what makes .NET both flexible + powerful 💬 What’s your take—JIT or AOT for modern apps? #dotnet #csharp #softwarearchitecture #backend #programming #developers #learning #tech #coding #systemdesign