"HTTP vs RPC APIs: A Developer's Guide"

🚀Namaste Frontend System Design Day 1 — Smarter Storage: Optimizing Client-Side Data & Reducing API Load Every frontend app faces the same challenge — how do we manage data efficiently on the client side without overloading APIs or frustrating users? Here’s how we made our frontend architecture more effective 👇 ✅ IndexedDB — for large datasets like product catalogs (fast, offline-friendly, and structured). ✅ localStorage — for lightweight states such as cart items and user preferences. ✅ sessionStorage — for short-lived session data (think temporary views or filters). The result? A massive 98% drop in cart-related complaints and a smoother, more responsive experience — even with flaky network conditions. ⚡ Because frontend storage isn’t just about saving data — it’s about building trust through reliability. 💡 Thanks to Akshay Saini 🚀 and Chirag Goel #FrontendArchitecture #WebDevelopment #ClientSideStorage #IndexedDB #JavaScript #UserExperience #PerformanceEngineering #BuildInPublic

Start building your frontend with 𝙂𝙧𝙖𝙥𝙝𝙌𝙇! We are thrilled to launch the GraphQL Mock Server, 𝙩𝙝𝙚 𝙛𝙖𝙨𝙩𝙚𝙨𝙩 𝙬𝙖𝙮 𝙩𝙤 𝙩𝙪𝙧𝙣 𝙮𝙤𝙪𝙧 𝙎𝙘𝙝𝙚𝙢𝙖 𝘿𝙚𝙛𝙞𝙣𝙞𝙩𝙞𝙤𝙣 𝙇𝙖𝙣𝙜𝙪𝙖𝙜𝙚 (𝙎𝘿𝙇) 𝙞𝙣𝙩𝙤 𝙖 𝙡𝙞𝙫𝙚, fully-functional mock server. Upload the schema (or introspect a live API!) and get a mock server instantly. Here’s the magic: - 🧠 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗧𝗲𝘀𝘁 𝗗𝗮𝘁𝗮: Beeceptor analyzes your schema's field names, data types, and relationships to generate realistic, contextual mock data—not just random placeholders. User names look like names, emails look like emails. - 𝗜𝗻𝘀𝘁𝗮𝗻𝘁 𝗦𝗲𝘁𝘂𝗽: Upload your `.graphql` file or paste an introspection URL. Beeceptor validates, deploys, and gets your endpoint live in seconds. - 𝗙𝘂𝗹𝗹 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘃𝗲𝗿𝗮𝗴𝗲: Supports Queries, Mutations, and Subscriptions right out of the box, ensuring you can test the entire client-side experience. - 𝗦𝗰𝗵𝗲𝗺𝗮-𝗔𝘄𝗮𝗿𝗲 𝗥𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Every mock response is 100% type-safe and schema-compliant, preventing runtime errors and ensuring your data shapes are always correct. The fastest path from schema to reality is here: Try now https://lnkd.in/grSwr2Vm

The best products aren’t built by great frontend or backend alone — they’re built when both communicate effectively. Here’s how they talk, what connects them, and how to make that communication seamless. Because in software — clarity between layers is everything. #FrontendDevelopment #BackendDevelopment #APIDesign #SystemDesign #SoftwareArchitecture #WebDevelopment #FullStackDevelopment #RESTAPI #GraphQL #TechLeadership #NiketanSaini

🚀 Next.js 16: File-System Conventions You Should Know Next.js 16 refines how we organize projects — simplifying routing, co-location, and metadata handling. 🧱 Unified app/ directory ⚙️ Co-located Server/Client components 📦 New route.config.ts for segment rules It finally feels like convention over configuration done right. 🔗 https://lnkd.in/dpKXrMks #Nextjs #React #WebDevelopment #Frameworks #Vercel

One of the simplest ways to make React code more reliable — and easier to maintain — is to derive state instead of syncing it. Too often we store values that can be calculated from existing state or props, and then spend extra effort keeping them in sync. That’s where bugs and unnecessary complexity sneak in. Why this matters: - Fewer sync issues: When one piece of state depends on another, it’s only a matter of time before they fall out of sync. - Simpler logic: Less boilerplate, fewer effects, cleaner renders. - Easier maintenance: When your data model changes, you only update it in one place. A good rule of thumb: If you find yourself writing a useEffect whose sole purpose is to keep two state variables in sync — that’s a sign one of them should be derived. This principle applies equally to client-side data and server-fetched data. With tools like TanStack Query, the server state is already your source of truth. Your UI state should be derived from it, not duplicated. Store only what truly needs to persist. Everything else — compute it when you render. Here, 𝐬𝐞𝐥𝐞𝐜𝐭𝐞𝐝𝐈𝐝 doesn’t need its own state — it’s derived from users. #React #Frontend #WebDevelopment #CleanCode #DerivedState

⚙️ Day 4 of Week 2 #Backend_Learning Today’s #backend extended: true vs false in Express 🧩 #GitHub https://lnkd.in/dnETCcxn Today, I learned how a single configuration can change how our server understands client data! In Express, when we use: app.use(express.urlencoded({ extended: true })) The extended option defines how form data (from HTML forms) is parsed. 🔹 extended: false → Parses simple key-value pairs only. 🔹 extended: true → Supports complex, nested objects & arrays in form data. 💡 Focus of the Day: Understood how Express internally uses qs library (for true) vs querystring (for false). Learned when to use each based on data complexity. Implemented both in small demo forms to see the difference. This small flag taught a big lesson — “Even minor configurations can make major differences in backend architecture.” 💪 #BackendDevelopment #NodeJS #ExpressJS #WebDevelopment #LearnInPublic #APIDesign #MERNStack #CleanCode #100DaysOfCode #TechCommunity #SoftwareEngineering #CareerGrowth

🤔🤔 What’s new in Next.js 16 and how it can speed up your projects? This release provides the latest improvements to Turbopack, caching, and the Next.js architecture. Since the previous beta release, we added several new features and improvements: - Cache Components: New model using Partial Pre-Rendering (PPR) and use cache for instant navigation. - Next.js Devtools MCP: Model Context Protocol integration for improved debugging and workflow. - Proxy: Middleware replaced by proxy.ts to clarify network boundary. - DX: Improved logging for builds and development requests. For reminder, those features were available since the previous beta release: - Turbopack (stable): Default bundler for all apps with up to 5-10x faster Fast Refresh, and 2-5x faster builds - Turbopack File System Caching (beta): Even faster startup and compile times for the largest apps - React Compiler Support (stable): Built-in integration for automatic memoization - Build Adapters API (alpha): Create custom adapters to modify the build process - Enhanced Routing: Optimized navigations and prefetching with layout deduplication and incremental prefetching - Improved Caching APIs: New updateTag() and refined revalidateTag() - React 19.2: View Transitions, useEffectEvent(), <Activity/> - Breaking Changes: Async params, next/image defaults, and more Do you want to know more? click on the official link - https://lnkd.in/g6B7pUHR

React 19.2.0 — Released on October 1, 2025 Key Changes: 1. useEffectEvent – Introduces an official way to handle non-reactive callbacks inside useEffect. Prevents unnecessary re-runs and solves stale closure issues. 2. <Activity /> API – Lets you suspend effects and preserve component state when a UI section is hidden, improving performance for tabs, modals, and side panels. 3. cacheSignal – Adds a signal-based API to observe cache invalidation in server components, supporting smarter partial pre-rendering. 4. React Performance Tracks – Enhances DevTools with better profiling, effect visualization, and scheduling insights. Full changelog: https://lnkd.in/d5Uz5nMH

🧠 Redux Tip of the Day! Ever faced a “Bad Request” error while sending encrypted data from Redux to your API? we did — and it took us a while to figure out what was happening 😅 Turns out, storing large encrypted objects directly in Redux isn’t a great idea. It can easily exceed payload limits or break serialization during API calls. Here’s what worked for us 👇 ✅ Keep only essential data in Redux ✅ Use localStorage or sessionStorage for large encrypted payloads ✅ Compress or chunk the data before sending it to the backend Lesson learned — a clean, optimized Redux store saves time and keeps your APIs happy 🚀 #React #ReduxToolkit #FrontendDevelopment #PerformanceOptimization #WebDev #CleanCode

🔄 Short Polling vs Long Polling vs Webhooks — Which Should You Choose? Understanding these communication patterns is crucial for building efficient real-time applications. Here's the breakdown: 📊 Short Polling The client repeatedly sends requests to the server at fixed intervals (every few seconds) asking "Any updates?" Even when there's no new data, the server responds with an empty result. This approach is simple but inefficient, consuming unnecessary bandwidth and server resources . ⏳ Long Polling The client sends a request and keeps the connection open until the server has new data to send. Once the server responds, the connection closes, and the client immediately sends another request. This reduces latency compared to short polling and is still used by platforms like LeetCode for their submission results . 🎯 Webhooks Instead of the client asking for updates, the server proactively pushes data to a pre-configured URL when an event occurs. This is a one-time HTTP POST request triggered automatically. Think payment gateways notifying your server when a transaction completes . 💡 When to Use What? Short Polling: Legacy systems, simple implementations where real-time isn't critical Long Polling: When you need near real-time updates but can't use WebSockets (firewall restrictions, infrastructure limitations) Webhooks: Event-driven architectures, third-party integrations, payment processing — anywhere you need instant server-to-server notifications. Webhooks are the most resource-efficient for real-time updates, long polling is a middle ground, and short polling is gradually becoming obsolete in modern applications What's your go-to pattern for real-time communication? Drop your thoughts below! 👇 #SystemDesign #BackendDevelopment #API #Webhooks #SoftwareEngineering #NodeJS #WebDevelopment #TechTips #FullStackDevelopment #Coding