REST API Design Mistakes to Avoid

🚀 Backend Learning | Common API Design Mistakes (And How to Avoid Them) While working on backend systems, I’ve come across several API design mistakes that can create long-term problems. Here are some common ones 👇 🔹 1. Poor Naming of Endpoints ❌ /getUserData123 ✅ /users/{id} 🔹 2. Inconsistent Response Structure → Makes frontend integration difficult 🔹 3. Ignoring Proper HTTP Status Codes → Everything returning 200 OK 😅 🔹 4. No Pagination or Filtering → Leads to performance issues 🔹 5. Tight Coupling Between Services → Hard to scale and maintain 🔹 6. Lack of Versioning → Breaking changes affect existing users 🔹 What I Learned: • Keep APIs simple and consistent • Think long-term while designing • Always design for scalability Good API design is not just about making it work — it’s about making it maintainable. 🚀 #Java #SpringBoot #BackendDevelopment #APIDesign #SystemDesign #LearningInPublic

Production called. It wasn't happy. Story time! Imagine this scenario... Two severe issues land simultaneously. Users can't preview data. Downstream systems are collecting duplicate records like they were loyalty points. Fun times... haha! Now here's what nobody tells you about prod incidents; the technical diagnosis is actually the easy part. A null pointer exception and a refactoring gone wrong? Painful, but fixable. Seen worse before coffee got cold ;) The harder part is what happens around the incident. Because in every high-pressure situation, developers split into two camps: 1. The ones who find the problem - own it, fix it, document it, and sleep fine that night knowing they made the system better. 2. The ones who find an explanation - technically accurate enough to sound credible, just conveniently pointed away from themselves. Both might fix the bug. Only one actually fixes the team. The mark of a truly great engineer isn't clean code... it's clean accountability. Anyone can write good code on a good day. It takes real skill and character to raise your hand on a bad one. That's the standard I hold myself to... whether I'm designing systems, writing Spring Boot services, building React interfaces, or just staring at a stack trace at 11pm wondering what I did to deserve this XD Accountability is a feature, not a bug. Ship it. Seniors and veterans! I'd love to hear your take. Ever been in a situation like this? What's your story? Drop it below :) #SoftwareEngineering #SystemDesign #Java #SpringBoot #ReactJS #Accountability #TechCulture #EngineeringExcellence #Developer #GrowthMindset

A harsh reality but bitter truth... Why are you integrating backend with the frontend through the apis... Most developers still treat APIs like this: 𝐁𝐮𝐢𝐥𝐝 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 → 𝐞𝐱𝐩𝐨𝐬𝐞 𝐞𝐧𝐝𝐩𝐨𝐢𝐧𝐭𝐬 → 𝐰𝐫𝐢𝐭𝐞 𝐝𝐨𝐜𝐬 → 𝐦𝐚𝐧𝐮𝐚𝐥𝐥𝐲 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐟𝐫𝐨𝐧𝐭𝐞𝐧𝐝 → 𝐝𝐞𝐛𝐮𝐠 𝐢𝐧𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐢𝐞𝐬 𝐟𝐨𝐫 𝐰𝐞𝐞𝐤𝐬 Then there is a workflow that quietly removes most of that friction. #SDK generation from Postman. You define the API once, and it is no longer just a collection of endpoints. It becomes production ready SDKs in Python, C#, C++, TypeScript, JavaScript, and more. Typed clients. Prebuilt methods. Consistent contracts. No repetitive API wiring. 𝐍𝐨𝐰 𝐜𝐨𝐦𝐩𝐚𝐫𝐞 𝐭𝐡𝐞 𝐢𝐦𝐩𝐚𝐜𝐭: 𝙏𝙧𝙖𝙙𝙞𝙩𝙞𝙤𝙣𝙖𝙡 𝘼𝙋𝙄 𝙞𝙣𝙩𝙚𝙜𝙧𝙖𝙩𝙞𝙤𝙣 20 to 35 #days of development, testing, and alignment 𝙎𝘿𝙆 𝙗𝙖𝙨𝙚𝙙 𝙞𝙣𝙩𝙚𝙜𝙧𝙖𝙩𝙞𝙤𝙣 4 to 7 #days to connect backend with frontend systems with consistent behavior across platforms This is not a productivity improvement. This is a shift in how backend services are consumed. Less glue code. Fewer integration bugs. Faster delivery cycles. Cleaner architecture boundaries. The real question is not whether SDK generation is useful. The question is how many teams are still ignoring it while spending weeks on manual integration. 𝐓𝐡𝐢𝐬 𝐒𝐃𝐊 𝐜𝐚𝐧 𝐛𝐞 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝 𝐢𝐧 𝟐 𝐭𝐨 𝟒 𝐦𝐢𝐧𝐮𝐭𝐞𝐬 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐚𝐧𝐲 𝐀𝐈 𝐭𝐨𝐨𝐥𝐢𝐧𝐠: 𝐆𝐢𝐭𝐇𝐮𝐛 𝐑𝐞𝐩𝐨𝐬𝐢𝐭𝐨𝐫𝐲 https://lnkd.in/dQfJbMN8 Appreciation to Postman and its #team for enabling this level of #developer experience. 𝐇𝐚𝐯𝐞 𝐲𝐨𝐮 𝐮𝐬𝐞𝐝 𝐏𝐨𝐬𝐭𝐦𝐚𝐧 𝐒𝐃𝐊 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐚 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦? 𝐈𝐟 𝐲𝐞𝐬, 𝐢𝐭 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐡𝐨𝐰 𝐲𝐨𝐮 𝐝𝐞𝐬𝐢𝐠𝐧 𝐀𝐏𝐈𝐬 𝐩𝐞𝐫𝐦𝐚𝐧𝐞𝐧𝐭𝐥𝐲. #Postman #SDK #APIs #SoftwareEngineering #Backend #Frontend #SystemDesign #Microservices #DeveloperExperience #TypeScript #Python #CSharp

🚀 10 cURL Commands Every Backend Developer Should Know You’re debugging APIs the slow way. And yeah — that’s costing you hours every week. I’ve seen developers spend 30–40 mins debugging something that takes 30 seconds with cURL. So here are 10 cURL commands that separate beginners from real backend engineers 👇 Here are 10 commands you’ll actually use 👇 ⚡ 1. Basic GET 👉 curl https://lnkd.in/ghmyBe6g ⚡ 2. Add headers (Auth) 👉 curl -H "Authorization: Bearer TOKEN" https://lnkd.in/ghmyBe6g ⚡ 3. POST JSON 👉 curl -X POST https://lnkd.in/ghmyBe6g  -H "Content-Type: application/json" -d '{"name":"Vivek"}' ⚡ 4. Update (PUT) 👉 curl -X PUT https://lnkd.in/g4q-PGzz  -d '{"name":"Updated"}' ⚡ 5. DELETE 👉 curl -X DELETE https://lnkd.in/g4q-PGzz ⚡ 6. Query params 👉 curl "https://lnkd.in/g2erKS-K " ⚡ 7. Debug (verbose) 👉 curl -v https://api.example.com ⚡ 8. Headers only (underrated) 👉 curl -I https://api.example.com ⚡ 9. Save response 👉 curl -o data.json https://lnkd.in/gWQwUqCU ⚡ 10. File upload 👉 curl -X POST https://lnkd.in/gQVadd_t  -F "file=@image.png" 💡 Bonus: 👉 curl --compressed https://api.example.com ⚠️ Hard truth: Postman makes you comfortable. cURL makes you dangerous. 📌 If you found this useful: Save it. You’ll need it during debugging. 💬 Comment: Which cURL command do you use daily? 🔁 Follow for more backend + system design content #BackendDevelopment #WebDevelopment #SoftwareEngineering #APIs #SystemDesign

The Best Backend Code is the Code Your Users Never See. 🥷 Most people think backend development is just connecting a database to an API. But if you want to move from "coder" to "architect," you have to stop thinking about logic and start thinking about resilience. After 1 years in the trenches, here are 3 unconventional tips to level up your backend game (that aren’t just "learn Kubernetes"): 1. Optimize for the "Delete" Key 🧨 Junior devs pride themselves on how much they add. Seniors pride themselves on how much they can remove. Write your modules so they are decoupled enough to be deleted or replaced without the whole system having a heart attack. If your code is "clever," it’s probably a nightmare to maintain. 2. The "Assume Failure" Mindset 📉 Don't just code for the Happy Path. What happens if the third-party API takes 10 seconds to respond? What if the cache layer goes down? What if the user hits the "Submit" button 50 times in a second? Build Idempotency and Circuit Breakers into your DNA. 3. Become a "Product-Minded" Engineer 🧠 The backend isn't a vacuum. If you understand why the user needs that data, you’ll know whether to prioritize consistency (SQL) or speed (NoSQL/Caching). When you understand the business logic, you stop building features and start building solutions. The Golden Rule: If the frontend is the "Flash," the backend is the "Oxygen." Nobody notices it until it’s gone—but you can’t live without it. 🌬️ Backend devs, what’s the one "silent killer" in production that keeps you up at night? Let’s swap horror stories in the comments. 👇 #BackendDevelopment #SoftwareEngineering #SystemDesign #CodingTips #TechCommunity

Folks, Building APIs is easy… But designing scalable & production-ready APIs is what really matters. 👉 This is where API Design Best Practices come in. 🔧 How it works in real systems: 🔹 Use clear & consistent endpoint naming 🔹 Follow proper HTTP methods (GET, POST, PUT, DELETE) 🔹 Maintain standard response structure 🔹 Version your APIs (/v1/api/...) 🔹 Implement pagination & filtering 🔹 Handle errors with proper status codes ⚙️ Example: ✔️ /users → GET (fetch users), POST (create user) ✔️ /v1/payments → Versioned APIs ✔️ ?page=1&size=10 → Pagination ✔️ 400 / 404 / 500 → Standard error handling 💡 Key Insight: A well-designed API is not just functional — it is easy to use, scalable, and maintainable. 🔐 Why it matters: ✔️ Better frontend-backend collaboration ✔️ Scalable microservices architecture ✔️ Clean & maintainable codebase — Asad | Java Backend Developer #Java #SpringBoot #API #SystemDesign #Microservices #BackendDevelopment #LearningSeries

The Backend isn't a layer. It’s the glue.🧩 We often draw architecture as a simple line: Frontend → Backend → Database. But reality is messier. Backend engineering isn't just about building APIs; it’s about system integrity. While everyone owns a piece of the product, the backend ensures: - Contracts between services stay unbroken. - Data remains consistent and reliable. - Security is enforced at every touchpoint. - Failures are handled before they hit the user. What makes backend engineering powerful isn't complexity—it’s responsibility. When production breaks, it’s rarely one component. It’s the interaction between them. That’s why backend development is less about writing code and more about thinking in systems. Everyone builds the parts. The backend makes them work together. #SoftwareEngineering #Backend #SystemDesign #Coding

𝗔𝘀 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀, 𝘄𝗲’𝗿𝗲 𝘁𝗮𝘂𝗴𝗵𝘁 𝗲𝗮𝗿𝗹𝘆 𝗼𝗻 𝘁𝗼 𝗮𝘃𝗼𝗶𝗱 𝗡+𝟭 𝗾𝘂𝗲𝗿𝗶𝗲𝘀. And yet… most of us still ship them to production like it’s a feature. Not gonna lie - I’ve shipped it too without realizing. N+1 is simple: 1 query to fetch the list, N more queries for each item. Congrats, you just turned one request into a DB stress test. Everything works fine… until it doesn’t. Slow APIs, spiking DB load, and suddenly your “clean code” is the bottleneck. But sure, blame the ORM - it was just “magically fetching relations,” right? Reality check: the ORM didn’t write bad queries. You did. You don’t really notice it… until your DB starts feeling it. Pay attention to them. They matter more than you think. #BackendDevelopment #JavaDeveloper #SpringBoot #APIDesign #DatabasePerformance #NPlusOne #SoftwareEngineering #CleanCode #PerformanceMatters #DevelopersLife #ScalableSystems #ORM #DevCommunity

Most backend engineers rely on auto-configuration every single day. Very few actually know what it’s doing behind the scenes. That one annotation on your main class? It quietly does a lot more than we give it credit for. Before your first line of business logic even runs, it’s already: → Wiring up hundreds of beans → Spinning up an embedded server → Configuring data sources → Registering health checks All of it… automatically. And most teams? They never look inside. They trust it. Until something breaks. And then suddenly — no one knows where to start. Here are 5 things I really wish I understood earlier: 1. You can see exactly what got auto-configured (and what didn’t) Turn on debug mode and you’ll get a full conditions report — every configuration, whether it matched, and why. When a bean doesn’t load and you’re guessing blindly… this changes everything. 2. @ConditionalOnMissingBean is your override superpower The framework isn’t rigid — it backs off when you provide your own implementation. Instead of fighting defaults, you can gently replace them. That’s how you work with the framework, not against it. 3. Auto-config doesn’t just “exist” — it’s registered intentionally Behind the scenes, there’s a mechanism that decides what even gets loaded. If you’re building internal libraries or shared starters, this is what lets other services pick them up seamlessly — no extra setup needed. 4. You can exclude what you don’t need Sometimes the default setup does more harm than good. Instead of debugging weird conflicts for hours, you can simply opt out of specific configurations and take control. Clean. Explicit. Predictable. 5. Order matters more than you think Auto-configuration runs in a defined sequence. If something “isn’t ready yet” when your bean loads, it’s usually not random — it’s ordering. Once you understand that, those weird injection issues start making sense. The biggest shift for me was this: The framework isn’t magic. It’s a set of decisions. Conditional. Traceable. Customizable. Engineers who treat it like a black box get surprised in production. Engineers who understand it design systems that behave exactly how they expect. Which of these did you already know? Drop a number #SpringBoot #BackendDev #CleanCode #SoftwareEngineering #BackendEngineering #SoftwareEngineering #Java #Backend #Python #Data #DevOps #AWS #C2C #W2 #Azure #Hiring #BackendEngineering TEKsystems Boston Consulting Group (BCG) Kforce Inc Michael Page Aquent Motion Recruitment Huxley Randstad Digital UST Matlen Silver CyberCoders Insight Global COGENT Infotech Gardner Resources Consulting, LLC Software Guidance & Assistance, Inc. (SGA, Inc.) BayOne Solutions

3 years ago, I wrote my first API. It worked. Barely. No error handling. No input validation. Hardcoded values everywhere. I was just happy it returned a 200. Fast forward to today - I've shipped APIs in production that handled real client data, prevented revenue losses, and a API that directly convinced a client to onboard. Here's what I wish someone had told me at the start: 1. "It works on my machine" is not done. Done means it works under load, with bad inputs, with network failures, with edge cases you didn't think of. I learned this the hard way. 2. Naming things well is a superpower. The biggest time sink in early code isn't logic - it's trying to understand what past-you was thinking. Write for the next developer, not the compiler. 3. You will touch the database in production. And it will be terrifying the first time. Learn SQL properly. Understand indexes. Respect transactions. I've fixed bugs at the DB level that would have taken down a live client system. 4. Pick boring technology first. I chased new tools early. Then I spent a week building a document processing POC under a tight deadline - and the tools that saved me were the ones I already knew deeply: NestJS and solid API design. Familiarity under pressure is an unfair advantage. 5. Ship something real as fast as you can. Side projects are great. But nothing teaches you faster than code that actual users depend on. The feedback loop is brutal and honest. The gap between "it works" and "it's production-ready" is where most of the real learning happens. Still learning. Always will be. What's one thing you wish you knew when you wrote your first API? Drop it below 👇 #softwaredevelopment #webdevelopment #reactjs #nodejs #apidesign #fullstackdeveloper #devjourney #programming