SvelteKit 2.43: Async SSR and Remote Functions

🚀 React’s new <Activity> component — structured async UI without the boilerplate! React 19.2 introduces several meaningful improvements, but the <Activity> component particularly caught my attention for how cleanly it addresses async UI challenges we deal with every day. For anyone who has worked with multi-step async operations — checkout flows, onboarding screens, setup sequences, or any task that depends on data resolving in the background — the usual mix of isLoading, conditional rendering, scattered error handlers, and imperative effects can quickly become unmanageable. <Activity> reshapes this by giving async workflows a clear, declarative wrapper. Instead of distributing loading, error, and success states across multiple components, an Activity encapsulates the whole lifecycle. React manages the transition between pending → resolved → error, while your component remains focused purely on rendering the final outcome. Here’s a simplified example 👇 (check attachment) 🔍 Key takeaways: ⭐️ <Activity> provides a structured lifecycle for async flows — pending → fulfilled → error. ⭐️ It removes the repetitive state handling typically scattered across components. ⭐️ Works naturally with Suspense, transitions, and the broader async architecture introduced in React 19. ⭐️ Ideal for checkouts, bootstrapping data, onboarding steps, and any multi-step async operation. ⭐️ Encourages cleaner separation: Activities manage workflows; components manage UI. By giving async interactions a first-class abstraction, <Activity> makes complex workflows easier to maintain and far more predictable across the application. 📘 Official docs: 👉 https://lnkd.in/gEfeEVHw #react19 #reactDevelopement #frontend #fundamentals #features #ReactJS #WebDevelopment #NativeDevelopment

🚀 𝗥𝗘𝗦𝗧 𝘃𝘀 𝗚𝗿𝗮𝗽𝗵𝗤𝗟 — 𝗪𝗵𝘆 𝗜 𝗗𝗲𝗰𝗶𝗱𝗲𝗱 𝘁𝗼 𝗨𝘀𝗲 𝗕𝗼𝘁𝗵 In most projects, we’re often pushed to pick one API style and stick to it. But in our current architecture, I realized the best solution isn’t 𝘦𝘪𝘵𝘩𝘦𝘳/𝘰𝘳 — it’s 𝗯𝗼𝘁𝗵 𝗥𝗘𝗦𝗧 𝗮𝗻𝗱 𝗚𝗿𝗮𝗽𝗵𝗤𝗟, each serving the role it’s best at. 🔹 𝗪𝗵𝘆 𝗚𝗿𝗮𝗽𝗵𝗤𝗟? Our product involves building highly customizable dashboards with client-specific widgets, complex UI elements, and multiple sub-product types. GraphQL gives our frontend team:  • The freedom to fetch 𝘦𝘹𝘢𝘤𝘵𝘭𝘺 what they need  • Flexibility to build complex dashboards without waiting for backend changes  • No more 𝘂𝗻𝗱𝗲𝗿-𝗳𝗲𝘁𝗰𝗵𝗶𝗻𝗴 or 𝗼𝘃𝗲𝗿-𝗳𝗲𝘁𝗰𝗵𝗶𝗻𝗴  • Faster development since backend doesn’t need a separate endpoint for every use case This has drastically reduced backend API development time and made our dashboards much more dynamic. 🔹 𝗪𝗵𝘆 𝗥𝗘𝗦𝗧 (𝗦𝘁𝗶𝗹𝗹)? Even with all its power, GraphQL isn’t the perfect fit for everything. For simple 𝗖𝗥𝗨𝗗 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 — Add, Edit, Delete — REST is still the cleanest and most reliable approach. It also integrates better with some of our existing services and automations, especially where interconnected workflows or triggers are needed. These are harder to plug into a GraphQL layer. 🔹 𝗧𝗵𝗲 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆 Instead of forcing everything into a single API paradigm, we chose the 𝗵𝘆𝗯𝗿𝗶𝗱 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 — GraphQL for complex, dynamic UI needs and REST for stable operational workflows. This has given us the best of both worlds: ✨ Faster development ✨ Cleaner architecture ✨ Happier frontend and backend teams ✨ Flexibility to scale features without friction Sometimes the right architecture isn't about choosing one technology over another — it’s about combining them 𝘪𝘯𝘵𝘦𝘯𝘵𝘪𝘰𝘯𝘢𝘭𝘭𝘺. #GraphQL #RESTAPI #SoftwareArchitecture #WebDevelopment #Frontend #Backend #EngineeringLeadership #TechDecisions

Building for the Future: My Practical Takeaways from Modern Front-End Architectures As I continue to deepen my front-end journey, I’ve been experimenting with architectural patterns that make large-scale web applications more maintainable and performant. One area that’s really caught my attention lately is Micro Frontends and the real-world challenges of implementing them effectively. Here are a few lessons I’ve learned hands-on: ⚙️ Integration Strategy Matters – Choosing between build-time vs. runtime integration (Module Federation, single-spa, etc.) can make or break scalability. 🧩 Shared State is Tricky – Synchronizing user sessions and global state across micro apps requires solid event handling and clear data contracts. 🚀 Performance Trade-offs – Splitting bundles improves maintainability, but careful lazy loading and shared dependencies are key to keeping things fast. 🧠 Developer Experience First – Tooling, CI/CD, and consistent design systems are crucial for keeping multiple teams aligned. What excites me most is how these modern front-end patterns blend engineering discipline with user-centered design, bridging the gap between scalability and experience. 💬 I’d love to hear from others who’ve experimented with micro frontends or modular architectures: What challenges have you faced, and what approaches worked best for your teams? #FrontendDevelopment #WebArchitecture #MicroFrontends #WebPerformance #React #Angular #DevExperience #WebEngineering #CareerGrowth

Architecture Pattern Mastered: Controlled Components & State Lifting ✅ Transformed a simple accordion UI from independent (uncontrolled) components to a coordinated system by: • Lifting State Up - Moving state management to the parent component • Implementing Controlled Components - Making UI behavior predictable via props • Creating Clean Data Flow - Establishing one-way data binding between data and UI layers Essential patterns for building maintainable, large-scale React applications. #React #SoftwareEngineering #Frontend #StateManagement #CleanCode #LearnInPublic #ReactJS

Simplifying Complex UI Logic with a Generic Cascading Filter Hook If you’ve ever worked on a product with cascading filters, you probably know how tricky they can get. At first glance, it seems simple — select a country, then the states update, then the cities, and so on. But as the dependencies increase, so do the challenges: 1. Managing multiple API calls in sequence 2. Handling loading and error states properly 3. Keeping the data consistent across dependent filters 4. Avoiding unnecessary re-renders and tight coupling between components Each new filter chain often ends up requiring custom logic, which leads to duplicated code and inconsistent behavior across different parts of the application. To solve this, I explored the idea of creating a generic cascading filter hook — a single, reusable logic layer that can handle any number of dependent filters dynamically. This approach centralizes the entire dependency and data flow logic, making it: ✅ Easier to implement cascading filters in new modules ✅ More maintainable and testable ✅ Consistent across the product’s UI In essence, the hook abstracts the “when and how” of data fetching and dependency management, letting developers focus purely on the UI and user experience. It’s a small architectural change — but it saves countless development hours, reduces bugs, and keeps the codebase clean. Sometimes, the best engineering wins come from simplifying what we already do — just in a smarter, reusable way. Have you faced challenges building cascading filters in your projects? How did you handle them? #ReactJS #FrontendDevelopment #WebDevelopment #SoftwareEngineering #CleanCode #UIUX #CodeReuse #CustomHooks #ReactHooks #DevExperience #CodingBestPractices #JavaScript #DesignPatterns #FrontendArchitecture

🚀 Shipped Knight.dev — a full-stack, developer-centric platform engineered for modern sandboxing, real-time collaboration, and AI-assisted code generation workflows. Built on Next.js 15 (App Router), Clerk Auth, Prisma ORM, and Inngest background jobs, tightly integrated with tRPC for type-safe APIs and the E2B Code Interpreter. Designed with an event-driven architecture and Edge middleware to ensure speed, isolation, and scalability. 🧠 Architectural Highlights Next.js 15 + Edge Middleware → Hybrid rendering (ISR + SSR) with dynamic route grouping and API layer isolation. Authentication Layer → Secure session handling, OAuth federation, and multi-tenant user management via Clerk. tRPC + Prisma Integration → End-to-end type safety between client and server, eliminating schema drift. Inngest-powered Workflows → Asynchronous background job orchestration for code analysis and model-driven builds. E2B Sandboxed Interpreter → Virtualized execution layer for secure, browser-based code evaluation. UI System → Built with Radix UI, ShadCN, and TailwindCSS, enabling a fully modular, atomic component library. File System Simulation → In-browser VSCode-style File Explorer for real-time file management and project isolation. Telemetry + Logging → OpenTelemetry + Winston integration for structured logging and performance observability. ⚙️ Key Tech Stack Frontend: Next.js 15 • TypeScript • Radix UI • ShadCN • TailwindCSS Backend: tRPC • Prisma • Inngest • Clerk Auth Infra & Observability: OpenTelemetry • Vercel Edge Runtime Dev Tools: TurboRepo • ESLint • Prettier 💡 Core Idea Knight.dev reimagines the modern developer workflow — from authentication to real-time code generation — within a composable, secure, and performance-optimized architecture. Every subsystem (auth, sandbox, execution, UI) is loosely coupled and extensible for future AI agent integrations. 🌐 Live Preview & Source 🔗 Live App: https://lnkd.in/guwcYRQ7 💻 Full Architecture & Source Code: https://lnkd.in/gRRSQMaQ The GitHub repository includes complete architectural documentation — covering the design of authentication, sandboxing, background jobs, tRPC APIs, and UI composition systems. #webdevelopment #fullstackdeveloper #softwareengineering #programming #developercommunity

Ever spent ten minutes trying to guess what a function named handleThing() actually does? We have all been there. Welcome back to FrontifyMe. Today we’re talking about the unsung heroes of scalable architecture: naming conventions, discoverability, and code readability . When your project is small, naming things casually feels fine. But as your team grows, every vague or inconsistent name adds friction. Suddenly, half your day goes into figuring out what someone meant by getData() or whether userDetails and userInfo are the same thing. Multiply that by a team of ten, and you have a productivity leak. Good naming is self-documentation. You shouldn’t have to open a file to understand what it does, the name should tell you. Readable code saves time, reduces bugs, and builds trust across teams. Here’s a quick look at how clarity changes the game: ============================================= Poor naming - data.js - handleThing() - useCustom() ❌ Doesn’t describe intent ❌ Forces others to read code to guess behavior ❌ Hurts collaboration when teams grow ============================================= Good naming - useFetchUserData() - updateBillingAddress() - formatCurrency() ✅ Explains purpose at a glance ✅ Easier to search and reuse ✅ Makes onboarding and reviews faster ============================================= Discoverability is another hidden superpower. Consistent patterns make it easy to find things; if every API hook starts with useFetch, you instinctively know what to look for. The same applies to folder naming, utility functions, and shared components. Predictability saves time. Readable code isn’t about writing less, it’s about writing so clearly that others don’t need to ask questions. It’s a quiet sign of a mature codebase. How do you maintain naming and readability standards across large teams? Do you rely on conventions, linters, or code reviews to keep things consistent? #FrontifyMe #FrontendArchitecture #ReactJS #CleanCode #WebDevelopment #ScalableApps

⚙️ The UI Architecture That Changed Everything for Me When I started working on large-scale frontends, I realized something: 💥 Most projects don’t fail because of bad code — they fail because of bad architecture. So I started experimenting… and found a UI structure that completely changed our speed and maintainability. Here’s what worked for me 👇 🧱 1. Component-Driven Folder Design /components /common /layout /features /modals /forms Each component lives with its logic, styles, and tests — no hunting around multiple folders. ⚡ 2. Centralized UI Configuration All constants, enums, themes, and feature flags go in one /config/uiConfig.ts. Change a button color, or feature visibility? It’s one line now. 🚀 3. The “Smart-Dumb” Component Pattern Smart components → handle data (React Query, Zustand, etc.) Dumb components → purely UI It makes components reusable and easier to test. 🧠 4. Hook-Driven Logic Every repeated UI logic (modal handling, pagination, forms) became a custom hook — our team reduced 40% of repetitive code. 💡 Result: ✅ Faster onboarding for new devs ✅ Easier to migrate frameworks (React → Next.js, etc.) ✅ Debugging time cut by half In short — architecture isn’t just for backend. A well-structured UI is the foundation of every scalable product. What’s your favorite UI architecture tip? Would love to hear how others design for speed + maintainability. #frontendarchitecture #reactjs #nextjs #softwareengineering #uidesign #webdevelopment #programming #developerlife

🚀 𝗜 𝗷𝘂𝘀𝘁 𝗯𝘂𝗶𝗹𝘁 𝗮𝗻 𝗔𝗜-𝗮𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲 𝗥𝗲𝗰𝗼𝗿𝗱𝘀 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺 — 𝗘𝗺𝗽𝗧𝗿𝗮𝗰𝗸! 💼 This project combines 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, 𝗺𝗼𝗱𝗲𝗿𝗻 𝗳𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗱𝗲𝘀𝗶𝗴𝗻, and 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗖𝗥𝗨𝗗 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘁𝘆 to create a dashboard that helps teams manage employee data effortlessly. Using 𝗦𝗽𝗲𝗰𝗞𝗶𝘁 𝗖𝗟𝗜 and 𝗤𝘄𝗲𝗻 𝗔𝗜, I built EmpTrack through 𝘀𝗽𝗲𝗰-𝗱𝗿𝗶𝘃𝗲𝗻 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 — focusing more on structure, design, and intent, while AI handled the code scaffolding and UI logic. 🧩 𝗙𝗘𝗔𝗧𝗨𝗥𝗘𝗦 👥 Add, edit, and delete employee records 🏢 Filter by department and employment status 🌗 Light/Dark theme toggle ⚙️ Modular, reusable UI components (Button, Modal, Table, Card) 📱 Fully responsive and accessible design 💾 Mock API for fast local data management ⚡ 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 React ⚛️ | TypeScript 💡 | Tailwind CSS 🎨 | Vite ⚡ | SpecKit (Qwen AI) 🤖 💡 𝗞𝗘𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚𝗦 🔹 Building scalable UI using reusable components 🔹 Integrating 𝗔𝗜-𝗮𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 (Qwen + SpecKit) in real-world projects 🔹 Applying 𝘀𝗽𝗲𝗰-𝗱𝗿𝗶𝘃𝗲𝗻 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 for consistent, rapid builds 🔹 Enhancing accessibility and performance with Tailwind + TypeScript 🔹 Using 𝗔𝗜 𝗮𝘀 𝗮 𝗽𝗮𝗿𝘁𝗻𝗲𝗿, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮 𝘁𝗼𝗼𝗹 — true vibe coding in action 🎥 Here’s a quick demo of how it works 👇 🔗 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼: https://lnkd.in/dYnDu-De #React #TypeScript #SpecKit #Qwen #AICoding #FrontendDevelopment #CRUDApp #WebApp #TailwindCSS #Vite #Innovation #PortfolioProject #EmpTrack #AI

High Level Architecture of Leeflytic 💻 For those curious about my architecture design for Leeflytic, here’s a high level overview. The diagram may look simple, but the architecture behind it is more complex. A well-thought-out design makes things easier in the long run. While the initial stages are extremely challenging and time-consuming, it pays off as the application grows. This architecture is 100% scalable and well-structured. Even though Leeflytic is in phase 1, it allows the platform to scale to any level. From UX planning, frontend and backend development, to deployment and DevOps everything was designed and implemented by me within just 3 months. I have full control of the code; no AI IDEs like Cursor were used for the development but only pure skills and my ChatGPT little boss guidance or Q&A 😜. I’m not really much into frameworks or libraries, but with a solid JavaScript foundation, you can achieve anything even building a platform like Leeflytic from scratch. Frameworks come and go, but mastering the fundamentals lets you learn faster, design, develop, and scale your own products without chasing trends. I do love to hear your thoughts on the architecture. Open to discussion! 😊 #leeflytic #architecture #Saas #scalableDesign #softwareengineering #javascript #typescript