API Gateway Is powerful tool but sometimes it adds zero value It becomes USELESS when: * You have only one backend * no routing, no aggregation, no transformation * Same payload for web & mobile * Performance is every important and each millisecond is Important Use a Gateway only when it solves a real problem, not because it’s a trend. #tec_talks #tec_tradoffs

💥 That one error every beginner faces on Vercel 👨💻 – 500: Internal Server Error (Serverless Function Crashed) When try to deploy serverless web service on vercel Every developer hits this error at least once — but the key is to learn how to debug instead of panic. #WebDevelopment #Vercel #Serverless #DeveloperJourney #LearnByDoing

Running LangChain ReactAgent in browser LangChain is the easiest way to start building agents and applications powered by LLMs. It provides a pre-built agent architecture and model integrations to help you get started quickly and seamlessly incorporate LLMs into your agents and applications. ———— LangChain v1.0 is now available! The createAgent() function provides a production-ready agent implementation that’s remarkably simple to use: import { createAgent } from "langchain"; const agent = createAgent({ model: "gpt-5", tools: [] }); However, when attempting to use this function within a useEffect() hook in a Next.js project, I encounter a frustrating error: Upon investigation, the root cause becomes clear. The context.js file contains the line: import { AsyncLocalStorage } from "node:async_hooks"; Unfortunately, node:async_hooks is not supported in browser environments. Import traces: Client Component Browser: ./node_modules/@langchain/core/dist/context.js [Client Component Browser] ./node_modules/langchain https://lnkd.in/gpW-Tw_E

If your test automation breaks faster than a potato chip 🥔💥 and you’re spending more time fixing than building — this video’s for you! Here are 6 or 7 ways to make your tests stronger, smarter, and far less crunchy. 💪

WXT A next-gen, open-source web extension framework with MV2/MV3 builds, HMR dev server, TypeScript-first tooling, and one-command publishing for Chrome/Firefox/Edge ⭐ ~8.4k 🍴 413 🧾 MIT 🧩 TypeScript 🌐 https://wxt.dev 💻 https://lnkd.in/gwqG8Grt ✨ Features: * All browsers * MV2 & MV3 * Dev HMR/reload * File-based entries * TS & auto-imports * Auto publishing * Framework-agnostic * Modules * Bundle analysis * Remote URL imports 🔔 Discover Open Source. Every Day

We raised a $100M Series A to build the web for it's second user: AIs. When we started the company two years ago, there weren't any agents on the web. The prevailing view was that LLMs would render the web obsolete. Why would AIs/agents need to search when every model had the entirety of the Internet in its training data? We believed the opposite: AIs would use the web far more than humans ever have. And, they would use it differently requiring new tools, infra, and business models. Today, some of the most sophisticated builders of agents choose Parallel Web Systems because they understand what matters most: the quality of the context. If your agent doesn't have accurate, high signal context, all else downstream doesn’t matter. At Parallel, we have a range of APIs for AIs to search and use the web, all of which are best-in-class - driving higher accuracy, lower cost, and lower latency end-to-end. Our mission is to keep the web open, transparent, and competitive. For this to work, two things must be true: we give AIs the tools to unlock new ways to access, compose, and generate information, and we give content and data owners the incentives to continue publishing new content and knowledge on the open web. The upside is massive. We limit our potential otherwise.

Watch James Garbutt discuss the ongoing efforts to speed up the entire web ecosystem, focusing on advancements in tooling and frameworks like Vite, and shares key insights on how developers can contribute to and benefit from these performance improvements. Full video: https://lnkd.in/gd-7rP5F

We are launching the Search API today at Parallel Web Systems! Many users already rely on our Search API for high-volume production workflows. These benchmarks we launched today tell the story clearly -- Parallel's Search API is state-of-the-art. Our Search API is token-efficient and highly accurate, meaning less API calls (and lower costs!) for each agentic tool call. The search API is, well, what you've been searching for. Excited to hear from anyone who is building with it! Blog with details in 🧵

Recently asked one of the questions related to JWT token and multiple logins Suppose a user logs into the same web application from two different machines at the same time. 1. What happens to their JWT token or session? 2. Will both tokens remain valid? Or will the first one automatically expire or get revoked? How can we design the system to acheive this? Would love to hear your thoughts! 💭 Please share your insights… #dotnet #webapi #authentication #jwt #backend #fullstackdeveloper ##DotNetCore #DotNetDeveloper

Next.js 16 is here — and it’s shaping the future of web development. From blazing-fast builds with Turbopack to AI-assisted debugging and smarter caching, this release is all about making developers faster, smarter, and simpler in their workflows. Here’s our DevTio breakdown of the top 5 new features that truly stand out in this release. Faster. Smarter. Simpler.