Understanding HTTP Methods Beyond GET, POST, PUT, PATCH, DELETE

Cyclic Dependency Issue – How I resolved it in a real project 👇 While working on backend services, I ran into a tricky issue. Two services were depending on each other: Service A needed Service B Service B needed Service A At first, it didn’t look like a big deal… but it started creating problems during runtime and testing. The code became tightly coupled and harder to manage. 💡 What I did to fix it: Instead of forcing the dependency to work, I stepped back and rethought the design: Identified what logic was actually shared between both services Moved that common logic into a separate service Changed dependencies so they follow a one-way flow Made sure each service had a clear responsibility 🚀 Result: Circular dependency removed Code became easier to understand Better structure for future changes 💡 One thing I learned: Sometimes the issue is not in the code… it’s in the design. ------------------------------------------------------------------------ 💬 Have you ever faced something similar in your projects? 👇 #dotnet #webapi #minimalapi #microservices #softwaredevelopment #backend #programming #developers #tech

🌐💻 HTTP Status Codes Explained — The Language Every Developer Should Know Every time you open a website, your browser and server are having a conversation… And HTTP status codes are how they talk. 🗣️ 📌 Here’s the breakdown: 🟢 1xx – Informational Request received, continuing process 🟢 2xx – Success ✔️ 200 OK — Everything worked perfectly ✔️ 201 Created — Resource successfully created 🟡 3xx – Redirection 🔁 301 / 302 — Resource moved somewhere else 🔴 4xx – Client Errors ❌ 400 — Bad request 🔐 401 — Unauthorised 🚫 403 — Forbidden 🔍 404 — Not found (the most famous one 😅) ⚫ 5xx – Server Errors (not shown above but equally important) 💥 500 — Internal server error ⚠️ 503 — Service unavailable 💡 Why this matters: Understanding these codes helps you: • Debug faster 🐛 • Build better APIs 🔌 • Improve user experience ⚡ And yes… ☕ 418 — I’m a teapot exists (because developers have humour too 😄) 👉 Which status code do you see the most while coding? #HTTP #WebDevelopment #Backend #Frontend #APIs #Developers #Programming #Coding #SoftwareDevelopment #Debugging #Tech #Learning #DeveloperLife #FullStack #Internet #TechCommunity 🚀

𝗖𝗹𝗮𝘀𝘀𝗲𝘀 𝗮𝗿𝗲 𝗷𝘂𝘀𝘁 𝗯𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁𝘀, 𝗯𝘂𝘁 𝗢𝗢𝗣 𝗶𝘀 𝘁𝗵𝗲 𝗮𝗿𝘁 𝗼𝗳 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝘂𝗻𝗶𝘃𝗲𝗿𝘀𝗲. 🏗️✨ Most developers treat Object-Oriented Programming like a theoretical checklist. In reality, it is the secret sauce for scaling complex Frontend architectures without losing your sanity. 𝘐𝘴 𝘵𝘩𝘦𝘳𝘦 𝘢𝘯𝘺𝘵𝘩𝘪𝘯𝘨 𝘮𝘰𝘳𝘦 𝘴𝘢𝘵𝘪𝘴𝘧𝘺𝘪𝘯𝘨 𝘵𝘩𝘢𝘯 𝘢 𝘱𝘦𝘳𝘧𝘦𝘤𝘵𝘭𝘺 𝘦𝘯𝘤𝘢𝘱𝘴𝘶𝘭𝘢𝘵𝘦𝘥 𝘭𝘰𝘨𝘪𝘤 𝘣𝘭𝘰𝘤𝘬? 𝘐 𝘥𝘰𝘶𝘣𝘵 𝘪𝘵. 🧐 𝗛𝗲𝗿𝗲 𝗶𝘀 𝗵𝗼𝘄 𝘁𝗼 𝗮𝗽𝗽𝗹𝘆 𝘁𝗵𝗲 𝗽𝗶𝗹𝗹𝗮𝗿𝘀 𝗼𝗳 𝗢𝗢𝗣 𝗹𝗶𝗸𝗲 𝗮 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁: 🚀 𝗘𝗻𝗰𝗮𝗽𝘀𝘂𝗹𝗮𝘁𝗶𝗼𝗻: Keep your state private. Don’t let other parts of your app mess with internals they don’t understand. 💡 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Show the "what," hide the "how." Your UI should call .save() without caring how the API handles it. 💻 𝗜𝗻𝗵𝗲𝗿𝗶𝘁𝗮𝗻𝗰𝗲: Don’t repeat yourself. Share common logic between components, but be careful—composition is often the stronger choice. ⚛️ 𝗣𝗼𝗹𝘆𝗺𝗼𝗿𝗽𝗵𝗶𝘀𝗺: One interface, many forms. Handle different data types with the same clean method calls. Code is written for 𝗵𝘂𝗺𝗮𝗻𝘀 𝘁𝗼 𝗿𝗲𝗮𝗱 𝗮𝗻𝗱 𝗺𝗮𝗰𝗵𝗶𝗻𝗲𝘀 𝘁𝗼 𝗲𝘅𝗲𝗰𝘂𝘁𝗲. OOP makes it human-friendly. Which 𝗢𝗢𝗣 𝗽𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲 saved your last project from becoming spaghetti code? 🍝👇 #OOP #SoftwareEngineering #CleanCode #ProgrammingTips #WebDevelopment

I've been coding for years. These 5 websites saved me hundreds of hours. Bookmark all of them. Thank me later 👇 1️⃣ roadmap.sh → Visual roadmaps for every tech stack → Know exactly what to learn next → Never feel lost again 2️⃣ codebeautify.org → Format, validate, convert any code → JSON, XML, HTML, CSS — everything → Free forever 3️⃣ ray.so → Turn your code into beautiful screenshots → Perfect for LinkedIn posts → Free and stunning 4️⃣ explainshell.com → Paste any terminal command → It explains every part of it → No more mysterious bash commands 5️⃣ devdocs.io → All documentation in one place → Works offline → Every language and framework Save this post — you'll need it. 🔖 Which website would YOU add to this list? Drop it in the comments 👇 #WebDevelopment #CodingTips #Developer #TechTools #Programming #Resources #100DaysOfCode #TechIndia

HTML Updates in 2026 – What Developers Should Know HTML is getting smarter, faster, and more developer-friendly. Key updates: • Better semantic elements • Built-in dialog & popovers • Improved form controls • Web components growth • Performance & accessibility focus Why it matters: Build faster, cleaner, and future-ready applications. #HTML #WebDevelopment #Frontend #Coding #inforagtechnology #codeofschool Inforag Technology Code Of School

Symbols in Programming: Small Characters, Significant Impact When developers begin their coding journey, the focus is often on syntax and logic. However, with experience comes a deeper realization—symbols play a critical role in how code functions. A missing semicolon, an incorrect bracket, or an extra equals sign can disrupt an entire application. Here’s a quick breakdown: ; → Terminates statements { } → Defines code blocks (functions, loops, conditions) ( ) → Used for parameters and expressions = → Assignment operator == / === → Comparison operators != → Inequality check ' ' / " " → String delimiters [ ] → Arrays These symbols may seem minor, but they directly control program behavior. Programming is not only about writing logic—it’s about writing precise and accurate logic. Even a small mistake can: ✔ Alter expected output ✔ Disrupt authentication flows ✔ Impact API responses ✔ Introduce security vulnerabilities ✔ Cause production failures Competent developers understand syntax. Exceptional developers master it. Before moving into frameworks or advanced concepts, it’s worth asking: Are your fundamentals truly solid? Because coding itself isn’t difficult—lack of precision is. Keep learning. Keep building. Keep improving. 🚀 #Programming #JavaScript #WebDevelopment #FrontendDeveloper #FullStackDeveloper #CodingLife #DeveloperCommunity #LearnToCode #SoftwareEngineering #TechCareers #100DaysOfCode #CodingJourney #ReactJS #DevCommunity #TechSkills #Developers

Most “clean code” is actually harder to maintain than messy code. We all love the idea of clean code. Short functions. Perfect naming. Everything looks neat and organized. It feels like the right way to code. But here is the problem. Clean code can become too perfect. Some developers break one simple logic into ten tiny functions just to follow best practices. At first, it looks beautiful. But later, when someone else reads it, they have to jump from file to file just to understand one small feature. What should take 2 minutes now takes 20. That is not maintainable. Messy code, on the other hand, is often direct. Everything is in one place. It may not look pretty, but you can quickly understand what is going on. When there is a bug, you fix it fast because you can see the full picture. Clean code also has another issue. It depends too much on rules. Developers follow patterns without thinking. They focus more on structure than clarity. But code is not written for machines alone. It is written for humans to read later. If your “clean” code makes people confused, then it is not clean. I am not saying messy code is better. Bad code is still bad. But too much cleaning can also break things. There is a point where clean becomes complicated. Good code should be simple to read, easy to follow, and quick to change. Not just neat. So here is the real question. Would you rather have code that looks perfect but is hard to understand, or code that looks simple and maybe a bit rough but is easy to maintain? Most people will disagree with this. Some will strongly agree. But if you have ever struggled to understand “perfect” code, then you already know this is true. #softwaredevelopment #webdevelopment #programming #javascript #fypシ

𝗘𝘃𝗲𝗿 𝘀𝗽𝗲𝗻𝘁 𝗵𝗼𝘂𝗿𝘀 𝗱𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 𝗮 𝘄𝗲𝗶𝗿𝗱 𝘀𝘁𝗮𝘁𝗲 𝗶𝘀𝘀𝘂𝗲 𝗼𝗿 𝗺𝗲𝗺𝗼𝗿𝘆 𝗹𝗲𝗮𝗸 𝗶𝗻 𝘆𝗼𝘂𝗿 .𝗡𝗘𝗧 𝗮𝗽𝗽, 𝗼𝗻𝗹𝘆 𝘁𝗼 𝗿𝗲𝗮𝗹𝗶𝘇𝗲 𝘆𝗼𝘂 𝗿𝗲𝗴𝗶𝘀𝘁𝗲𝗿𝗲𝗱 𝗮 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝗹𝗶𝗳𝗲𝘁𝗶𝗺𝗲? 🤦♂️ Mastering Dependency Injection (DI) in C# isn't just about making your code testable; it's about understanding how your application manages memory and state. 🧠⚙️ If you get these three service lifetimes wrong, your app will punish you. Here is the breakdown: 𝟭. 𝗧𝗿𝗮𝗻𝘀𝗶𝗲𝗻𝘁 (𝗧𝗵𝗲 𝗗𝗶𝘀𝗽𝗼𝘀𝗮𝗯𝗹𝗲) ♻️ 💻 AddTransient<IService, Service>() A brand-new instance is created 𝗲𝘃𝗲𝗿𝘆 𝘀𝗶𝗻𝗴𝗹𝗲 𝘁𝗶𝗺𝗲 you ask for it. 🎯 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲: Lightweight, stateless services. Think of it like a paper cup—use it once to get your data, then throw it away. 🥤 𝟮. 𝗦𝗰𝗼𝗽𝗲𝗱 (𝗧𝗵𝗲 𝗥𝗲𝗾𝘂𝗲𝘀𝘁 𝗕𝗼𝘂𝗻𝗱) 🌐 💻 AddScoped<IService, Service>() Created once per client request (like a single HTTP request). All classes that ask for this service during that specific request get the 𝘀𝗮𝗺𝗲 instance. 🎯 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲: Entity Framework DbContext. You want to share the same database state across your repositories for a single user's request, but keep it isolated from other users. 🗄️ 𝟯. 𝗦𝗶𝗻𝗴𝗹𝗲𝘁𝗼𝗻 (𝗧𝗵𝗲 𝗛𝗶𝗴𝗵𝗹𝗮𝗻𝗱𝗲𝗿) 👑 💻 AddSingleton<IService, Service>() Created the very first time it's requested, and that 𝗲𝘅𝗮𝗰𝘁 𝘀𝗮𝗺𝗲 instance is shared across the entire application for its entire lifespan. 🎯 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲: Caching services, feature flags, or objects that are incredibly resource-heavy to spin up. 🚀 Understanding the definitions is the easy part. The architecture gets tricky when these lifetimes start interacting with each other. 🏗️ Which brings up a dangerous scenario: 🚨 𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝘀 𝗶𝗳 𝘆𝗼𝘂 𝗶𝗻𝗷𝗲𝗰𝘁 𝗮 𝗧𝗿𝗮𝗻𝘀𝗶𝗲𝗻𝘁 𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗶𝗻𝘁𝗼 𝗮 𝗦𝗶𝗻𝗴𝗹𝗲𝘁𝗼𝗻 𝘀𝗲𝗿𝘃𝗶𝗰𝗲? 🚨 Does the Transient service stay transient, or does it become something else entirely? 🔄🤔 Drop your answer (or your worst DI debugging horror story) in the comments below! 👇💬 #dotnet #csharp #softwareengineering #dependencyinjection #webdevelopment #coding

“Single source of truth” is often misunderstood. And misused. Here’s the nuance 👇 Many developers try to: → Store everything in one place → Centralize all state Sounds good. But in practice: ✖ Creates tight coupling ✖ Increases re-renders ✖ Reduces flexibility Reality: You don’t need ONE source of truth. You need: ✔ Multiple sources with clear ownership Example: → Server state → API layer → UI state → component → Derived state → computed Each has its own responsibility. Key insight: Centralization ≠ clarity Ownership = clarity That’s what makes systems scalable. #ReactJS #StateManagement #FrontendArchitecture #SoftwareEngineering #JavaScript #AdvancedReact #Engineering #ScalableSystems #Programming #Tech

𝐀 𝐥𝐨𝐭 𝐨𝐟 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 𝐮𝐬𝐞 𝐭𝐡𝐞 𝐭𝐞𝐫𝐦𝐬 𝐥𝐢𝐛𝐫𝐚𝐫𝐲 𝐚𝐧𝐝 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐢𝐧𝐭𝐞𝐫𝐜𝐡𝐚𝐧𝐠𝐞𝐚𝐛𝐥𝐲.  They're not the same thing and the distinction actually matters. Here's the clearest way I can explain it: 𝐀 𝐥𝐢𝐛𝐫𝐚𝐫𝐲 𝐢𝐬 𝐚 𝐜𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐨𝐟 𝐫𝐞𝐮𝐬𝐚𝐛𝐥𝐞 𝐜𝐨𝐝𝐞. You're in control. You decide when to use it, how to use it, and how much of it to use. There are little to no boundaries. It's there to simplify tasks you were already going to do . 𝐀 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐢𝐬 𝐚 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐰𝐚𝐲 𝐨𝐟 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐭𝐡𝐢𝐧𝐠𝐬. It comes with a predetermined architecture and expects you to follow specific patterns. There's a "right" way and a "wrong" way to use it. Skipping the docs isn't really an option. The framework sets the boundaries, and you work within them. 𝐏𝐮𝐭 𝐬𝐢𝐦𝐩𝐥𝐲: with a library, you call the code. With a framework, it calls you. Understanding this difference early will save you a lot of confusion especially when you're trying to figure out why something "isn't working the way you expected" in a new tool. #webdevelopment #programming #javascript #frontenddevelopment #codingtips