Ultra API Client Simplifies API Development

"Did you know 76% of developers struggle with maintaining type safety across a full-stack TypeScript application using tRPC? Here's how you can master it. 1. Use tRPC to connect your client and server without REST or GraphQL. This cuts your boilerplate code dramatically and keeps types in sync. 2. Build your API procedures in a way that leverages TypeScript's powerful type inference. Less manual type annotation means fewer errors. 3. Avoid the common pitfall of skipping input validation. Even with TypeScript, ensure you validate inputs to catch runtime errors early. 4. Try using vibe coding to rapidly prototype your tRPC endpoints. This method keeps you in the flow and speeds up development. 5. Experiment with advanced TypeScript features like mapped types and conditional types for even more robust type safety. 6. Integrate AI-assisted development into your workflow to automate repetitive tasks. I've found this significantly increases my productivity. 7. Maintain a lean data transfer by defining precise types for your API responses. This optimizes both performance and clarity. How do you ensure type safety across your full-stack applications? Share your approach below! ```typescript import { initTRPC } from '@trpc/server'; const t = initTRPC.create(); const appRouter = t.router({ getUser: t.procedure.query(() => { return { id: 1, name: 'John Doe' }; }), }); type AppRouter = typeof appRouter; ```" #WebDevelopment #TypeScript #Frontend #JavaScript

🧠 Promises made async code better… But Async/Await made it feel like synchronous code. 🔹 What is Async/Await? - It’s a cleaner way to write Promises. - async → makes a function return a Promise - await → pauses execution until the Promise resolves 🔹 Example (Without Async/Await) fetch("api/data") .then((res) => res.json()) .then((data) => console.log(data)) .catch((err) => console.log(err)); 🔹 Same Example (With Async/Await) async function getData() { try { const res = await fetch("api/data"); const data = await res.json(); console.log(data); } catch (err) { console.log(err); } } 🔹 Why Async/Await? ✅ Cleaner & more readable ✅ Looks like normal (sync) code ✅ Easier error handling with try...catch 💡 Key Idea - Async/Await is just syntactic sugar over Promises. 🚀 Takeaway - async returns a Promise - await waits for it - Makes async code simple & readable Next post: Fetch API Explained Simply 🌐 #JavaScript #AsyncAwait #Promises #Frontend #WebDevelopment #LearnJS #Programming #LearningInPublic

🚀 Introducing EchoDom — Open Source Session Replay & RUM A self-hostable, efficient, and developer-friendly solution for Session Replay & Real User Monitoring (RUM). I have been building this for the past week and I am excited to share it! It’s built as three modules: 1. SDK (TypeScript, rrweb-based) - Captures session replay + core RUM signals in the browser - Batches events and ships them to ingest over HTTP - Designed to keep overhead low (recording + transport without blowing up bundle/runtime) 2. Ingest (Go + Fiber + PostgreSQL) - HTTP ingest API (e.g. /v1/ingest) that accepts batched events - Persists to Postgres and runs migrations on startup - Uses a worker pool for processing so spikes don’t immediately overwhelm the server - Optional API key protection for dashboard routes 3. Dashboard (React) - Lists projects and sessions, and provides a replay UI - Pulls session data/telemetry from ingest What it focuses on: - Lightweight and performant - Mnimal setup and easy integration This is fully open source, and I’ll be actively improving it, adding features, refining performance, and making it more robust over time. Would love your feedback! 🔗 Check it out: https://lnkd.in/guAh47KZ If you find it interesting, feel free to drop a star ⭐️, contribute or share your thoughts. #opensource #frontend #observability #typescript #javascript #react #webdev #rum #developers #golang

A lot of developers think async/await makes code run faster but it actually doesn't. Adding async and await to your functions doesn't magically speed anything up. A lot of people see "async" and think it means faster execution. That's not what it does at all. What async/await actually does is pretty simple: It makes asynchronous code easier to read and write. That's it. The actual speed depends entirely on what you're awaiting and how you structure your code. When you write await fetchUser(), your code stops and waits for that function to finish before moving to the next line. If fetching a user takes 2 seconds, you're waiting 2 seconds. Nothing actually got faster here. Where people usually get confused is when they write code like this and think it's optimized: const user = await fetchUser(); const posts = await fetchPosts(); const comments = await fetchComments(); Each await waits for the previous one to finish completely. If each takes 2 seconds, the total time is 6 seconds. They run one after another, not simultaneously. But you could start all three at the same time and wait for them together: const [user, posts, comments] = await Promise.all([  fetchUser(),  fetchPosts(),  fetchComments() ]); Now all three requests fire off immediately. The total time is 2 seconds whatever the slowest one takes. That's 3x faster, and async/await had nothing to do with it. Promise.all did. Async/await is about writing cleaner code, not faster code. It lets you avoid callback hell and write asynchronous operations that look synchronous. Readability, not speed. Speed comes from how you structure your promises, like running things in parallel when you can instead of waiting for each one to finish one by one.

💡 Most Developers Don’t Understand Async Properly (And It Shows 👀) Let’s be brutally honest. Most developers use async/await… But when things break --- they have no idea why. We write: await fetchData(); And feel like: “Haan bhai, async likh diya… ab sab sorted hai 😎” Until production says: “bhai kuch bhi sorted nahi hai 💀” The bug was in their async flow. → They stacked awaits without understanding the execution order → They ignored the event loop → They guessed instead of reasoning Here is the truth. Async is not syntax. Async is execution. You write await fetchData() and feel in control. The engine is doing something very different. JavaScript runs on a single thread. It uses the call stack. It offloads work to Web APIs. It schedules callbacks in queues. Then the event loop decides what runs next. Microtasks run before macrotasks. Always... Look at this. console.log("Start"); setTimeout(() => console.log("Timeout"), 0); Promise.resolve().then(() => console.log("Promise")); console.log("End"); Most developers guess wrong. Actual output is clear. "Start" -> "End" -> "Promise" -> "Timeout" No randomness. No magic. Just rules. Because: -> JS doesn’t care about your intuition -> It follows the event loop strictly If you do not know these rules, you are guessing. And guessing breaks systems. 🔥 Why This Matters If you don’t understand async: -> You cannot debug race conditions -> You cannot explain failures -> You cannot scale your thinking The language is not confusing. Your mental model is incomplete. Fix that. Start predicting execution before running code. Trace the stack. Track the queue. Respect the event loop. Pro Tip... Use Chrome DevTools to debug and step through async code That is how real developers work. Syntax is the entry. Understanding execution is the skill. #JavaScript #AsyncAwait #EventLoop #WebDevelopment #SoftwareEngineering

𝗧𝗵𝗲 𝗝𝗮𝗩𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗘𝗩𝗲𝗻𝘁 𝗟𝗼𝗼𝗽 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 The event loop is a mechanism that controls how JavaScript handles asynchronous operations. It checks the call stack and task queues to decide what code runs next. You have two types of tasks: - Macrotasks: these are scheduled tasks that run after all microtasks are completed. Examples include setTimeout, setInterval, and DOM events. - Microtasks: these are smaller, high-priority tasks that run immediately after the current synchronous code finishes. Examples include Promise.then, queueMicrotask, and async/await continuations. Async/Await is syntax built on top of Promises that makes asynchronous code look synchronous. The code after await runs as a microtask once the Promise resolves. Here's an example of how this works: console.log("Start") setTimeout(() => { console.log("Macrotask: setTimeout") }, 0) queueMicrotask(() => { console.log("Microtask: queueMicrotask") }) Promise.resolve().then(() => { console.log("Microtask: Promise.then") }) async function demo() { console.log("Async function start") await null console.log("Microtask: async/await continuation") } demo() console.log("End") The output will be: Start Async function start End Microtask: queueMicrotask Microtask: Promise.then Microtask: async/await continuation Macrotask: setTimeout Source: https://lnkd.in/gcdpKceA

Types of APIs We Should Know APIs are essential for modern applications, enabling communication between systems and services. Understanding different API types helps in building scalable, efficient, and secure solutions. 1. REST APIs (Representational State Transfer ➩ Most commonly used API architecture ➩ Uses HTTP methods: GET, POST, PUT, DELETE ➩ Stateless, scalable, and easy to implement Example: ➩ GET /users → Retrieve users ➩ POST /users → Create a new user 2. GraphQL APIs ➩ Modern query-based API approach ➩ Clients request only required data ➩ Reduces over-fetching and improves efficiency ➩ Uses a single endpoint with flexible queries Example: ➩ Fetch user and order details in one request 3. HTTP (HyperText Transfer Protocol) ➩ Foundation of web communication ➩ Works on request–response model Example: ➩ Client sends request → Server returns JSON/XML response 4. HTTP/2 ➩ Improved version of HTTP ➩ Handles multiple requests in one connection ➩ Faster and more efficient with header compression 5. TLS 1.2 (Transport Layer Security) ➩ Ensures secure data transfer ➩ Encrypts communication between client and server ➩ Used in HTTPS ➩ Why It Matters ➩ Helps choose the right architecture ➩ Improves performance and scalability ➩ Ensures better security <~~~~#𝑷𝒍𝒂𝒚𝒘𝒓𝒊𝒈𝒉𝒕 #𝑻𝒆𝒔𝒕𝒊𝒏𝒈~~~~> 𝑷𝒍𝒂𝒚𝒘𝒓𝒊𝒈𝒉𝒕 𝒘𝒊𝒕𝒉 𝑱𝒂𝒗𝒂𝑺𝒄𝒓𝒊𝒑𝒕& 𝑻𝒚𝒑𝒆𝑺𝒄𝒓𝒊𝒑𝒕 ( 𝑨𝑰 𝒊𝒏 𝑻𝒆𝒔𝒕𝒊𝒏𝒈, 𝑮𝒆𝒏𝑨𝑰, 𝑷𝒓𝒐𝒎𝒑𝒕 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒊𝒏𝒈)—𝑻𝒓𝒂𝒊𝒏𝒊𝒏𝒈 𝑺𝒕𝒂𝒓𝒕𝒔 𝒇𝒓𝒐𝒎 13𝒕𝒉 𝑨𝒑𝒓𝒊𝒍 𝑹𝒆𝒈𝒊𝒔𝒕𝒆𝒓 𝒏𝒐𝒘 𝒕𝒐 𝒂𝒕𝒕𝒆𝒏𝒅 𝑭𝒓𝒆𝒆 𝑫𝒆𝒎𝒐: https://lnkd.in/dR3gr3-4 𝑶𝑹 𝑱𝒐𝒊𝒏 𝒕𝒉𝒆 𝑾𝒉𝒂𝒕𝒔𝑨𝒑𝒑 𝒈𝒓𝒐𝒖𝒑 𝒇𝒐𝒓 𝒕𝒉𝒆 𝒍𝒂𝒕𝒆𝒔𝒕 𝑼𝒑𝒅𝒂𝒕𝒆: https://lnkd.in/dD4rDpwZ : Follow Kranti Shinde for more helpful content. #NodeJS #JavaScript #BackendDevelopment #FullStackDeveloper #SoftwareEngineering #Programming #Developers #TechCommunity

🚀JSON vs TOON – Which One Should You Use in APIs? 👩🎓When building modern APIs, choosing the right data format matters more than you think 👇 🔹 JSON (JavaScript Object Notation) ✅ Easy to read & write ✅ Human-friendly ✅ Widely supported (APIs, frontend, tools) Example: { "userId": 101, "name": "Parmeshwar", "email": "Parmeshwar@Com", "isActive": true, "roles": ["admin", "editor"] } 🔹 TOON (Compact Format) ⚡ Smaller payload (fewer bytes) ⚡ Faster to transfer & parse ❌ Not human-readable (needs parser) Example: u:101|n:Parmeshwar|e:Parmeshwar@Com|a:1|r:admin,editor 🔹 Binary (Conceptual) ⚡ Ultra-compact ⚡ Maximum performance ❌ Completely unreadable for humans 💡 Key Takeaways: 👉 Use JSON for readability & standard API communication 👉 Use TOON/Binary when performance & speed are critical 👉 Trade-off = Readability vs Performance 🔥 In real-world systems: Most companies start with JSON, then optimize to compact/binary formats when scaling 🚀 💬 What do you prefer in your APIs — readability or performance? #API #BackendDevelopment #Parmeshwarmetkar #WebDevelopment #JSON #SoftwareEngineering #Tech #Developers #Coding

🚀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗶𝗻 𝗡𝗼𝗱𝗲.𝗷𝘀 If you're building production ready backend systems in Node.js, automated testing isn’t optional — it’s your safety net, your confidence booster, and your velocity multiplier. 🔥 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀 𝗼𝗳 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 ♦️ Catch bugs early ♦️ Enable safe refactoring ♦️Ship faster with confidence ♦️ Build production-grade systems ⚒️ 𝗧𝗵𝗲 𝗡𝗼𝗱𝗲.𝗷𝘀 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗦𝘁𝗮𝗰𝗸 Each tool plays a specific role — together they form a powerful testing ecosystem. ⚙️ Test Runner → 𝗠𝗼𝗰𝗵𝗮 🔍 Assertion Library → 𝗖𝗵𝗮𝗶 🌐 HTTP Testing → 𝗦𝘂𝗽𝗲𝗿𝘁𝗲𝘀𝘁 🎭 Mocking/Stubbing → 𝗦𝗶𝗻𝗼𝗻 🌍 HTTP API Mocking → 𝗡𝗼𝗰𝗸 🧩 𝗛𝗼𝘄 𝗧𝗵𝗲𝘆 𝗙𝗶𝘁 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿 A typical test flow -  ⚙️ Mocha runs the test 🔍 Chai validates results 🌐 Supertest tests API endpoints 🎭 Sinon mocks internal dependencies 🌍 Nock mocks external APIs 👉 Together, they help you write -  🧩 Unit tests (functions/class) 🔗 Integration test (APIs) 💡 𝗣𝗿𝗼 𝗧𝗶𝗽 - Integrate this testing workflow in local dev workflow as well as CI pipeline of your services. 👉 We’ll dive deeper into each one of these components in the upcoming posts. Stay tuned!! 🔔 Follow Nitin Kumar for daily valuable insights on LLD, HLD, Distributed Systems and AI. ♻️ Repost to help others in your network. #javascript #nodejs #testing #tdd

Understanding Async vs Sync API Handling in Node.js (A Practical Perspective) When building scalable backend systems, one concept that truly changes how you think is synchronous vs asynchronous API handling. Let’s break it down in a simple, real-world way. Synchronous (Blocking) Execution In a synchronous flow, tasks are executed one after another. Example: - Request comes in - Server processes it - Only after completion → next request is handled Problem: If one operation takes time (like a database query or external API call), everything waits. This leads to: - Poor performance - Low scalability - Bad user experience under load Asynchronous (Non-Blocking) Execution Node.js shines because it handles operations asynchronously. Example: - Request comes in - Task is sent to the background (I/O operation) - Server immediately moves to handle the next request - Response is returned when the task completes Result: - High performance - Handles thousands of concurrent users - Efficient resource utilization How Node.js Makes This Possible: - Event Loop - Callbacks / Promises / Async-Await - Non-blocking I/O Instead of waiting, Node.js keeps moving. Real-World Insight: When working with APIs: - Use async/await for clean and readable code - Avoid blocking operations (like heavy computations on the main thread) - Handle errors properly in async flows Final Thought: The real power of Node.js is not just JavaScript on the server — it’s how efficiently it handles concurrency without threads. Mastering async patterns is what separates a beginner from a solid backend engineer. Curious to know: What challenges have you faced while handling async operations? #NodeJS #BackendDevelopment #JavaScript #AsyncProgramming #WebDevelopment