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

Your API is NOT failing… You just can’t SEE it. Most developers debug APIs like this: → console.log → guess → retry → repeat And it works… Until it doesn’t. Because a single API call isn’t just: Request → Response It’s: → validation → auth → DB queries → business logic So when something breaks… You don’t know WHERE. That’s the real problem: Not failure. 👉 Lack of visibility. I learned this the hard way, debugging production issues. Curious - how do you debug APIs today? #api #nodejs #backend #programming #developers #softwareengineering

“𝗜𝘁 𝘄𝗼𝗿𝗸𝗲𝗱 𝗹𝗼𝗰𝗮𝗹𝗹𝘆.” — 𝗳𝗮𝗺𝗼𝘂𝘀 𝗹𝗮𝘀𝘁 𝘄𝗼𝗿𝗱𝘀 𝗼𝗳 𝗮𝗻𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 😄 𝗧𝗵𝗲 𝗺𝗼𝘀𝘁 𝗱𝗮𝗻𝗴𝗲𝗿𝗼𝘂𝘀 𝘀𝗲𝗻𝘁𝗲𝗻𝗰𝗲 𝗶𝗻 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲. 👉 𝗕𝗲𝗰𝗮𝘂𝘀𝗲 𝗹𝗼𝗰𝗮𝗹𝗹𝘆 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲: • One user • Zero latency • Perfect data • Infinite permissions • No contention • No scale 👉 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗮𝗱𝗱𝘀 𝗿𝗲𝗮𝗹𝗶𝘁𝘆: • Concurrency • Failures • Time • Load • Humans 👉 𝗥𝗲𝗮𝗹 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝘀𝘁𝗮𝗿𝘁𝘀 𝘄𝗵𝗲𝗻: • Traffic is unpredictable • State is distributed • Failures are partial • Latency is real • Scale is non-linear 𝙔𝙤𝙪𝙧 𝙘𝙤𝙙𝙚 𝙙𝙞𝙙𝙣’𝙩 𝙗𝙧𝙚𝙖𝙠 𝙞𝙣 𝙥𝙧𝙤𝙙. 𝙔𝙤𝙪𝙧 𝙖𝙨𝙨𝙪𝙢𝙥𝙩𝙞𝙤𝙣𝙨 𝙙𝙞𝙙...!!! . . . . . #laravel #php #python #SoftwareEngineering #Programming #Backend #Architecture #DevOps #SystemDesign

Ever wondered how your Temporal workflows behave across SDK versions? 🤔 The new GitHub repository centralizes feature snippets, harnesses, and version‑specific runners for Temporal SDKs, letting you test behavior, generate history, and verify compatibility without reinventing the wheel. What sets this apart is the built‑in compatibility layer: you can run the same test against multiple SDK releases, automatically generate history for the earliest compatible version, and even opt‑out of history checks when needed. It turns a fragmented testing landscape into a single, reproducible suite. 🚀 Actionable Takeaways: - Run features across Go, Java, TypeScript, Python, Ruby in one command - Generate history for the earliest compatible SDK version - Skip history checks with `--no-history-check` when speed matters - Use prepared directories to isolate test runs - Tag Docker images per SDK version for reproducible environments When our code stands the test of time, we build not just software, but trust—knowing that today’s experiments won’t break tomorrow’s production. What compatibility challenge are you facing as your stack evolves, and how could a unified test harness change the game? #Temporal #DevOps #AI #Leadership #Innovation Reference: [https://lnkd.in/gqTG4Fh7] 🔄 Share 👍 React 🌐 Visit www.aravind-r.com #AravindRaghunathan

Many testers focus on tools, but strong frameworks are built on OOP fundamentals. Inheritance avoids repeating setup and common utilities. Encapsulation keeps locators and actions inside page classes, reducing risk. Abstraction hides implementation and keeps tests easy to read. Polymorphism helps handle different browsers or environments with the same code. Constructors help initialize drivers and test data properly. Interfaces make your framework more flexible and extensible. Collections simplify handling dynamic test data. Framework quality is not about how many tools you use it’s about how well your design holds up. Strong OOP skills turn automation from scripts into structured, scalable systems. Follow GUDUGUNTLA SAI KARTHIK for more helpful content. #SoftwareTesting #AutomationTesting #Java #OOP #SDET #TestAutomation #QualityEngineering

Many testers focus on tools, but strong frameworks are built on OOP fundamentals. Inheritance avoids repeating setup and common utilities. Encapsulation keeps locators and actions inside page classes, reducing risk. Abstraction hides implementation and keeps tests easy to read. Polymorphism helps handle different browsers or environments with the same code. Constructors help initialize drivers and test data properly. Interfaces make your framework more flexible and extensible. Collections simplify handling dynamic test data. Framework quality is not about how many tools you use it’s about how well your design holds up. Strong OOP skills turn automation from scripts into structured, scalable systems. Follow Supriya Darisa for more helpful content. #SoftwareTesting #AutomationTesting #Java #OOP #SDET #TestAutomation #QualityEngineering

Most developers read files. Fewer actually process them efficiently. Here’s a simple but powerful example using Java Streams — counting the number of unique words in a file in just a few lines of code. What looks like a basic task actually highlights some important concepts: • Stream processing for large data • Functional programming with map/flatMap • Eliminating duplicates using distinct() • Writing clean, readable, and scalable code Instead of looping manually and managing data structures, this approach lets you express the logic declaratively. It’s not just about solving the problem — it’s about solving it the right way. Small improvements like this can make a big difference when working with large datasets or building production-grade systems. How would you optimize this further for very large files? #Java #JavaDeveloper #StreamsAPI #FunctionalProgramming #CleanCode #BackendDevelopment #SoftwareEngineering #Programming #DevelopersOfLinkedIn #CodingJourney #TechLearning #100DaysOfCode

Many testers focus on tools, but strong frameworks are built on OOP fundamentals. Inheritance avoids repeating setup and common utilities. Encapsulation keeps locators and actions inside page classes, reducing risk. Abstraction hides implementation and keeps tests easy to read. Polymorphism helps handle different browsers or environments with the same code. Constructors help initialize drivers and test data properly. Interfaces make your framework more flexible and extensible. Collections simplify handling dynamic test data. Framework quality is not about how many tools you use it’s about how well your design holds up. Strong OOP skills turn automation from scripts into structured, scalable systems. Follow Pulimi Bala sankararao for more helpful content. #SoftwareTesting #AutomationTesting #Java #OOP #SDET #TestAutomation #QualityEngineering

62/75 Honest confession: my first REST APIs were a mess. 😅 A year into backend dev, here are 3 mistakes I made and what I'd do differently: 1. Using GET for everything Yep. I once used a GET request to delete a record because "it was simpler." Spoiler: it wasn't. HTTP methods exist for a reason, use them right. 2. Returning 200 for errors My API used to return 200 OK with an `{ "error": "something went wrong" }` in the body. Looked fine until someone tried to handle it on the frontend. Always use proper status codes like 400, 404, 500. They matter more than you think. 3. No versioning from day one I thought versioning was something you add "later." Then I had to change a response structure mid-project. Breaking changes are painful. Just start with `/api/v1/` from day one. These seem obvious in hindsight, but nobody tells you this when you're starting out. If you're early in your backend journey, I hope this saves you some debugging sessions. 🙏 What's a mistake YOU made with APIs? Drop it below 👇 #BackendDevelopment #APIs #Python #WebDev #LessonsLearned #SoftwareEngineering

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