8 Common API Mistakes Developers Make

Tech Tip: Don't Screw Up Your REST API Design. Most devs treat API design like an afterthought. Big mistake—that's how tech debt sneaks in. It's not just about shoving data around; it's about making it dead simple and predictable for everyone using it. Here are 3 screw-ups I see all the time: => Ignoring HTTP status codes: Stop sending 200 OK when shit's not found. Use 404! Clients need that to build real logic. => No versioning: Kick off with /v1/ from day one. Tweak your payloads without it, and you'll nuke every frontend out there. => Inconsistent naming: CamelCase or snake_case—pick one and stick to it across all endpoints. Flip-flopping is torture. Consistency? That's what separates a solid tool from a daily headache. What's the most infuriating API you've ever had to wrangle? Spill the tea. #softwaredevelopment #api #webdev #coding #techtips

Tech Tip: Don't Screw Up Your REST API Design Most devs treat API design like an afterthought. Big mistake—that's how tech debt sneaks in. It's not just about shoving data around; it's about making it dead simple and predictable for everyone using it. Here are 3 screw-ups I see all the time: => Ignoring HTTP status codes: Stop sending 200 OK when shit's not found. Use 404! Clients need that to build real logic. => No versioning: Kick off with /v1/ from day one. Tweak your payloads without it, and you'll nuke every frontend out there. => Inconsistent naming: CamelCase or snake_case—pick one and stick to it across all endpoints. Flip-flopping is torture. Consistency? That's what separates a solid tool from a daily headache. What's the most infuriating API you've ever had to wrangle? Spill the tea. #softwaredevelopment #api #webdev #coding #techtips

𝗦𝗺𝗮𝗹𝗹 𝗙𝗶𝘅, 𝗕𝗶𝗴 𝗜𝗺𝗽𝗮𝗰𝘁: 𝗔𝘃𝗼𝗶𝗱 𝗛𝗮𝗺𝗺𝗲𝗿𝗶𝗻𝗴 𝗔𝗣𝗜𝘀 𝗼𝗻 𝗥𝗲𝗽𝗲𝗮𝘁𝗲𝗱 𝗣𝗼𝗽𝘂𝗽 𝗢𝗽𝗲𝗻𝘀 While working on a feature, I noticed something subtle but important: 👉 Every time a popup opened, 👉 the same API was being called again… and again. At first, it didn’t seem like a big deal. But this is exactly how performance issues quietly creep in. ⚠️ 𝗪𝗵𝗮𝘁’𝘀 𝘁𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺? When a popup (or modal) triggers an API call on every open: - You create unnecessary network requests - You increase server load - You slow down the user experience - And in worst cases, you risk hitting rate limits All of this… for data that often hasn’t even changed. 💡 𝗪𝗵𝗮𝘁 𝗰𝗮𝗻 𝘄𝗲 𝗱𝗼 𝗶𝗻𝘀𝘁𝗲𝗮𝗱? Here are a few better approaches: 1. Cache the response Store the data after the first API call and reuse it (no need to hit the API every time) 2. Conditional fetching Only call the API if: Data is not available Or it’s outdated 3. Use state management wisely Keep the fetched data in a shared state (context/store) so reopening the popup doesn’t trigger another call 4. Debounce / throttle (if needed) Avoid rapid repeated calls due to multiple triggers 🧠 𝗧𝗵𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 Good engineering isn’t just about making things work… it’s about making them work efficiently. These small optimizations: - Improve performance - Reduce backend load - Create smoother user experiences And most importantly — they reflect how deeply you think about your code. 💭 Sometimes, it’s not the big features… it’s these small decisions that define your quality as a developer. #Frontend #SoftwareDevelopment #Performance #WebDevelopment #Engineering

𝗠𝗢𝗦𝗧 𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗘𝗥𝗦 𝗗𝗢𝗡’𝗧 𝗨𝗡𝗗𝗘𝗥𝗦𝗧𝗔𝗡𝗗 𝗔𝗣𝗜 𝗗𝗘𝗦𝗜𝗚𝗡 🚨 And it quietly breaks your applications over time. My Story : A while ago, I was working on a project where everything felt “done.” Frontend was clean. Backend was working. APIs were returning data. But then… small changes started causing big problems. One endpoint change → frontend broke Another feature → required rewriting 3 APIs Debugging → took hours for simple issues That’s when I realized 👇 The problem wasn’t the code. It was how I designed the APIs. Before that, I used to: → Build endpoints quickly → Return whatever data the frontend needed → Ignore consistency because “it works” And yes… it worked. Until it didn’t. Then the real issues showed up ⚠️ ❌ Different response formats for every API ❌ Tight coupling between frontend & backend ❌ Duplicate logic across endpoints ❌ Poor or missing error handling 💡 The lesson changed everything: API design is not about making things work. It’s about making them predictable, reusable, and scalable. Here’s what actually matters 👇 ✅ Consistent response structure (status, data, error) ✅ Proper HTTP methods (GET ≠ POST 😄) ✅ API versioning (/v1, /v2) ✅ Meaningful status codes ✅ Separation of concerns ⚡ The mindset shift: I stopped building APIs for the current feature… and started designing them for the entire system. 🔥 Good APIs don’t just send data They prevent future problems Follow Jaydeep Singh Rathore for more 💬 Have you ever faced this kind of issue in your project? #webdevelopment #backend #api #softwareengineering #programming #developers #coding #systemdesign #tech

REST APIs are overengineered by default, and we've all just accepted it. I've reviewed hundreds of API designs across teams, and the pattern is always the same — someone adds versioning, nested resources, HATEOAS links, custom error schemas, and pagination conventions before a single user has touched the product. We're optimizing for a future that might never come. The irony? Most internal APIs only ever have one or two consumers. You don't need v1/v2 namespacing. You don't need hypermedia controls. You need an endpoint that works, returns useful data, and doesn't break when someone changes a field name. We conflate "well-designed" with "enterprise-ready" — and they're not the same thing. The REST spec is a guideline, not a contract. I've shipped faster, cleaner systems by ignoring parts of it intentionally. Using POST for everything sensitive? Guilty. Flat resource structures over deeply nested ones? Every time. Returning 200 with an error message instead of parsing status codes? Controversial, but it saved my frontend team hours. Pragmatism scales. Purity doesn't. Now before you @ me — I'm not saying skip documentation or ignore consistency. Those matter. But there's a huge difference between thoughtful simplicity and cargo-culting conventions from a 2012 API design book. Build for your current scale. Refactor when the pain is real, not when it's imagined. Am I wrong? Would love to hear from engineers who've actually lived with both approaches long-term. What's the most "wrong" REST decision you made that turned out fine? Drop it below. #BackendDevelopment #APIDDesign #SoftwareEngineering #WebDevelopment #EngineeringCulture

Stop Returning 200 for Everything 𝗧𝗵𝗶𝘀 𝗶𝘀 𝗮 𝘀𝗶𝗹𝗲𝗻𝘁 𝗔𝗣𝗜 𝗸𝗶𝗹𝗹𝗲𝗿. Everything looks fine. Until debugging starts. Here’s what bad APIs do: ❌ 200 OK for errors ❌ 200 OK for failures ❌ 200 OK for “not found” At first glance, it works. But look closer: • Errors are hidden • Frontend gets confused • Monitoring becomes useless Now look at clean APIs: ✅ 200 → success ✅ 201 → created ✅ 400 → bad request ✅ 404 → not found ✅ 500 → server error 𝘾𝙡𝙚𝙖𝙧. 𝙈𝙚𝙖𝙣𝙞𝙣𝙜𝙛𝙪𝙡. 𝙎𝙩𝙖𝙣𝙙𝙖𝙧𝙙. Here’s the rule: 👉 Status codes are part of your API 👉 They are NOT optional So instead of: ❌ 200 OK { "error": "User not found" } You write: ✅ 404 Not Found { "message": "User not found" } 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: W͟h͟e͟n͟ ͟e͟v͟e͟r͟y͟t͟h͟i͟n͟g͟ ͟i͟s͟ ͟2͟0͟0͟:͟ ͟ ͟ • Debugging becomes painful • Frontend logic breaks • Issues go unnoticed W͟h͟e͟n͟ ͟c͟o͟d͟e͟s͟ ͟a͟r͟e͟ ͟r͟i͟g͟h͟t͟:͟ ͟ ͟ • APIs become reliable • Errors are clear • Systems are easier to maintain 𝘠𝘰𝘶𝘳 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘦 𝘪𝘴 𝘯𝘰𝘵 𝘫𝘶𝘴𝘵 𝘥𝘢𝘵𝘢. 𝘐𝘵’𝘴 𝘴𝘪𝘨𝘯𝘢𝘭. 👉 𝗜𝗳 𝘁𝗵𝗲 𝘀𝗶𝗴𝗻𝗮𝗹 𝗶𝘀 𝘄𝗿𝗼𝗻𝗴… 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴 𝗲𝗹𝘀𝗲 𝗶𝘀 𝘁𝗼𝗼. 📌 REST API Series — Part 7 If everything is 200… debugging becomes a nightmare. Status codes are not just numbers — they are signals. Next: A higher-level mindset shift for API design 💬 𝘿𝙤 𝙮𝙤𝙪 𝙨𝙩𝙞𝙡𝙡 𝙨𝙚𝙚 𝟮𝟬𝟬 𝙛𝙤𝙧 𝙚𝙫𝙚𝙧𝙮𝙩𝙝𝙞𝙣𝙜? 👀 🔖 Save this for API reviews 🔁 Share with your team #backend #restapi #apidesign #softwareengineering #systemdesign

𝗬𝗼𝘂 𝗰𝗮𝗻 𝗷𝘂𝗱𝗴𝗲 𝗮𝗻 𝗔𝗣𝗜 𝗶𝗻 𝟭𝟬 𝘀𝗲𝗰𝗼𝗻𝗱𝘀. Just look at the URLs. Most developers ignore this. They focus on logic… performance… features… But your API design is already visible. 𝙍𝙞𝙜𝙝𝙩 𝙩𝙝𝙚𝙧𝙚. 𝙄𝙣 𝙩𝙝𝙚 𝙐𝙍𝙇𝙨. Here’s what bad APIs look like: ❌ /𝘨𝘦𝘵𝘜𝘴𝘦𝘳𝘋𝘢𝘵𝘢 ❌ /𝘤𝘳𝘦𝘢𝘵𝘦𝘖𝘳𝘥𝘦𝘳 ❌ /𝘶𝘱𝘥𝘢𝘵𝘦𝘗𝘳𝘰𝘧𝘪𝘭𝘦 At first glance, they seem fine. But look closer: • Mixing actions with resources • Inconsistent patterns • Hard to predict behavior Now look at clean APIs: ✅ /users ✅ /orders ✅ /profiles 𝙎𝙞𝙢𝙥𝙡𝙚. 𝙋𝙧𝙚𝙙𝙞𝙘𝙩𝙖𝙗𝙡𝙚. 𝘾𝙤𝙣𝙨𝙞𝙨𝙩𝙚𝙣𝙩. Here’s the rule: 👉 URLs represent 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 👉 HTTP methods represent 𝗮𝗰𝘁𝗶𝗼𝗻𝘀 So instead of: ❌ /𝘤𝘳𝘦𝘢𝘵𝘦𝘜𝘴𝘦𝘳 You write: ✅ 𝘗𝘖𝘚𝘛 /𝘶𝘴𝘦𝘳𝘴 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: W͟h͟e͟n͟ ͟U͟R͟L͟s͟ ͟a͟r͟e͟ ͟m͟e͟s͟s͟y͟:͟ • Developers guess instead of knowing • Frontend integration slows down • APIs become harder to scale W͟h͟e͟n͟ ͟U͟R͟L͟s͟ ͟a͟r͟e͟ ͟c͟l͟e͟a͟n͟:͟ • APIs become self-explanatory • Less documentation needed • Faster development across teams 𝘛𝘩𝘪𝘯𝘬 𝘰𝘧 𝘜𝘙𝘓𝘴 𝘢𝘴 𝘺𝘰𝘶𝘳 𝘈𝘗𝘐’𝘴 𝘭𝘢𝘯𝘨𝘶𝘢𝘨𝘦. 𝘐𝘧 𝘵𝘩𝘦 𝘭𝘢𝘯𝘨𝘶𝘢𝘨𝘦 𝘪𝘴 𝘤𝘰𝘯𝘧𝘶𝘴𝘪𝘯𝘨… 𝘵𝘩𝘦 𝘴𝘺𝘴𝘵𝘦𝘮 𝘸𝘪𝘭𝘭 𝘣𝘦 𝘵𝘰𝘰. 👉 𝗚𝗼𝗼𝗱 𝗔𝗣𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗶𝘀 𝘃𝗶𝘀𝗶𝗯𝗹𝗲 𝗶𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆. 🚀 Part 6 of REST API Series Next: A small naming rule most devs ignore. 💬 𝙒𝙝𝙖𝙩’𝙨 𝙩𝙝𝙚 𝙬𝙤𝙧𝙨𝙩 𝘼𝙋𝙄 𝙚𝙣𝙙𝙥𝙤𝙞𝙣𝙩 𝙮𝙤𝙪’𝙫𝙚 𝙨𝙚𝙚𝙣? 👀 🔖 Save this before designing endpoints 🔁 Share with your team #backend #restapi #apidesign #softwareengineering #systemdesign

🌐 REST API Design — Small Decisions, Big Impact Writing APIs that work is easy. Designing APIs well is engineering. Here are some REST API practices I focus on 👇 ✅ 1. Use Proper HTTP Methods GET → Fetch data POST → Create PUT/PATCH → Update DELETE → Remove ✅ 2. Use Resource-Based URLs Good: /api/users/101/orders Avoid: /getUserOrdersById ✅ 3. Return Proper Status Codes 200 → Success 201 → Created 400 → Bad Request 401 → Unauthorized 404 → Not Found 500 → Server Error ✅ 4. Use DTOs + Validation Validate requests early: @Valid @NotBlank @Email Clean input = safer APIs. ✅ 5. Keep Responses Consistent { "success": true, "message": "Order created", "data": {...} } Consistency improves frontend integration. 🚀 In my projects I also use: ✔ Pagination ✔ Versioning (/api/v1) ✔ Exception handling ✔ Meaningful endpoint naming 🧠 Key Insight: Good APIs reduce bugs before they happen. What API practice do you consider non-negotiable? #Java #SpringBoot #RESTAPI #BackendDevelopment #SoftwareEngineering #FullStackDeveloper

🧩 What Makes a Good API Design? While revising backend fundamentals, I realized that building APIs is not just about making them work — it’s about making them clean, predictable, and scalable. Here are a few things I’ve been focusing on: 👉 Clear and meaningful endpoints Example: GET /products GET /products/:id 👉 Proper use of HTTP methods GET → fetch data POST → create PUT/PATCH → update DELETE → remove 👉 Consistent response structure Helps frontend integration and debugging 👉 Handling errors properly Using correct status codes like 400, 401, 403, 500 👉 Pagination and filtering Important for performance when dealing with large datasets 💡 Key takeaway: Good API design improves both developer experience and system performance. Still learning and improving backend fundamentals 🚀 #BackendDevelopment #APIDesign #SoftwareEngineering

Everyone sees the final output. A working API. A smooth UI. A “seamless experience.” But almost no one sees this part👇 Hours of debugging. Console errors that make zero sense. Fixing one bug… creating three new ones. Restarting the server for the 100th time. Reading logs like a detective. 🚨 “Backend is easy… it just runs on the server.” If only it were that simple. You’re not just writing APIs… You’re fighting errors you’ve never seen before. You fix one bug → another one appears You solve that → something else breaks You check logs → nothing makes sense You restart the server → still broken Hours pass like this. Doubt kicks in. Frustration builds. You start questioning your own code… But then — You slow down. You trace the issue. You debug step by step. You understand what’s actually happening. And suddenly… ✅ The error disappears ✅ The API responds correctly ✅ The server starts running smoothly That moment hits different ⚡ Not because it works… But because you made it work. 💡 Backend development isn’t just “it runs on the server.” It’s problem-solving under pressure. It’s patience when nothing works. It’s persistence when everything breaks. Behind every stable system, there’s a developer who refused to give up. This video captures that journey — from chaos → confusion → debugging → clarity → success. If you’ve ever spent hours fixing a “small bug”… you already know the story 😄 #BackendDevelopment #Debugging #DeveloperLife #100DaysOfCode #BuildInPublic #CodingJourney #SoftwareEngineering #ProblemSolving #TechJourney #KeepGoing