🚀 Just shipped something I'm really excited about — an AI-powered Print-on-Demand platform built from scratch. Here's what it does: → Describe your design idea in plain English → AI rewrites it into a precise image generation prompt (Claude) → Recraft V4 generates the artwork → Background is automatically removed → You place it on a T-shirt or Hoodie mockup with a live preview → Set your price, publish your listing, and start selling The full stack: ⚙️ Backend — Express.js + TypeScript, MongoDB, Cloudinary for image processing, Stripe for payments, Better Auth for auth 🎨 Frontend — React 19 + TypeScript, Fabric.js canvas editor, TanStack Query, Tailwind CSS 🤖 AI — Anthropic Claude for prompt engineering, Recraft V4 for image generation, Remove.bg for background removal Every mockup is dynamically composited on Cloudinary — the artwork is overlaid onto the product at exactly the right position and scale, per color variant, at request time. Still a lot to build — order fulfillment, analytics, seller dashboard — but the core loop works end to end. Source Code: https://lnkd.in/gr88WNUf Happy to answer questions for anyone building something similar. 👇 #buildinpublic #indiehacker #typescript #reactjs #nodejs #aitools #printOnDemand #sideproject

🚀 Design Patterns in React — Observer, Singleton & Factory (Explained Simply) Writing React code is easy… Writing scalable & maintainable code is where patterns matter ⚠️ Let’s break down 3 important design patterns 👇 🧩 1. Observer Pattern 👉 When one change notifies multiple components ✔ Used for event-based communication ✔ One → Many relationship 💡 Example: • State changes → UI updates • Event emitters 💻 React Example (Observer) const listeners = []; export const subscribe = (fn) => listeners.push(fn); export const notify = (data) => { listeners.forEach((fn) => fn(data)); }; 👉 Used internally in state updates & libraries 🟣 2. Singleton Pattern 👉 Only one instance exists globally ✔ Shared across app ✔ Same instance everywhere 💡 Example: • API service • Auth manager 💻 React Example (Singleton) class ApiService { static instance; static getInstance() { if (!ApiService.instance) { ApiService.instance = new ApiService(); } return ApiService.instance; } } export default ApiService.getInstance(); 🟡 3. Factory Pattern 👉 Creates objects/components dynamically ✔ Avoids complex logic in code ✔ Cleaner & flexible 💻 React Example (Factory) const components = { button: Button, input: Input, }; const renderComponent = (type, props) => { const Component = components[type]; return Component ? <Component {...props} /> : null; }; ⚡ Why These Patterns Matter ✔ Better code structure ✔ Reusable logic ✔ Easier scaling ✔ Cleaner architecture 🧠 Simple Way to Understand • Observer → Notify many • Singleton → One shared instance • Factory → Create dynamically 🔥 Real Use Cases ✔ Observer → State management, events ✔ Singleton → API, global config ✔ Factory → Dynamic UI rendering 💬 Which design pattern do you use the most? #React #DesignPatterns #Frontend #WebDevelopment #JavaScript #SoftwareEngineering #Coding

Hi! I’ve just published a new article in my 𝘽𝙪𝙞𝙡𝙙𝙞𝙣𝙜 𝙎𝙘𝙖𝙡𝙖𝙗𝙡𝙚 𝙅𝙖𝙫𝙖𝙎𝙘𝙧𝙞𝙥𝙩 𝙁𝙧𝙖𝙢𝙚𝙬𝙤𝙧𝙠𝙨 series: 𝗣𝗮𝗿𝘁 𝟲 — 𝗥𝗲𝗮𝗰𝘁𝗶𝘃𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗙𝗹𝗼𝘄 This article explores a core idea behind modern frontend systems: When data changes, how does the UI know what should update? That is where reactive systems become essential. They are the part of the framework responsible for: * 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗶𝗲𝘀 * 𝗽𝗿𝗼𝗽𝗮𝗴𝗮𝘁𝗶𝗻𝗴 𝘀𝘁𝗮𝘁𝗲 𝗰𝗵𝗮𝗻𝗴𝗲𝘀 * 𝘂𝗽𝗱𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗽𝗮𝗿𝘁𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗨𝗜 * 𝗿𝗲𝗱𝘂𝗰𝗶𝗻𝗴 𝗺𝗮𝗻𝘂𝗮𝗹 𝘀𝘆𝗻𝗰𝗵𝗿𝗼𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘄𝗼𝗿𝗸 This is one of the reasons modern frameworks feel so different from plain DOM programming. Instead of manually coordinating every consequence of a state change, the framework builds a relationship between data and UI behavior. That is what reactivity really is. And once you start seeing frontend systems as dependency systems, a lot of framework design starts to make much more sense. This article looks at that idea through signals, effects, computed values, scheduling, and the different reactive styles used by React, Vue, Lit, Solid, and Svelte. 👉 article link in the comments 𝗦𝗲𝗿𝗶𝗲𝘀 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 • Part 1 — Building Scalable JavaScript Frameworks • Part 2 — Why JavaScript Frameworks Exist • Part 3 — Anatomy of a Modern JavaScript Framework • Part 4 — From Templates to DOM: Parsing and Compilation • Part 5 — Rendering Engines: Updating the UI Efficiently • 𝗣𝗮𝗿𝘁 𝟲 — 𝗥𝗲𝗮𝗰𝘁𝗶𝘃𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗙𝗹𝗼𝘄 (this one) • Part 7 — Designing Component Architectures • Part 8 — Routing and Application Structure • Part 9 — Performance Strategies for Large Applications • Part 10 — The Future of Frontend Frameworks #frontend #javascript #architecture #webdevelopment #innovation

I used to spend 30% of my time on boilerplate. Now I spend it on thinking. A year ago I was manually wiring up Redux slices, writing the same fetch wrappers, copy-pasting TypeScript interfaces. Today my setup: Cursor + Claude Code as co-pilot, React + Next.js, full type-safety from DB to UI. The boring parts? Gone. What’s left is the actual craft — architecture decisions, component design, performance trade-offs. Frontend in 2026 isn’t easier. It’s different hard. Less “how do I write this” and more “how should this system behave.” If you’re still treating AI tools as fancy autocomplete - you’re leaving a lot on the table. What part of your workflow did AI change the most? #Frontend #React #TypeScript #WebDev #DeveloperTools

#AllahPak_Ka_Shukar_______Back_To_Assignments Developed a Full Stack Todo Web Application using modern technologies, focused on performance, scalability, and clean UI/UX. This project integrates a dynamic frontend built with Next.js, styled using Tailwind CSS, and enhanced with smooth animations via Framer Motion. The backend is powered by FastAPI, ensuring high performance and efficient API handling. Strong type safety and maintainability were achieved using TypeScript, while authentication and database management were handled using modern tools like Better Auth and Neon. The application also integrates AI capabilities through Hugging Face and is deployed on Vercel for seamless scalability and performance. 💡 Key Highlights: ∎ Full CRUD operations with real-time updates ∎ Responsive design with smooth color architecture ∎ Secure authentication system ∎ Fast and scalable backend APIs ∎ Clean animations and enhanced UX ∎ Production-ready deployment This project reflects my ability to design and build modern, scalable full-stack applications using industry-standard tools. Ali Jawwad Ameen Alam Aneeq Khatri Hamzah Syed Fahad Khan Naeem Asharib Ali #FullStack #NextJS #FastAPI #TypeScript #TailwindCSS #FramerMotion #Python #WebDevelopment #Developers #Vercel #NeonDB #AI

Day 57 of 100 Days of AI — 🎨 Frontend Work Begins Backend done. Time to build what users actually see. Started working on the frontend today — a clean landing page where people can subscribe to the newsletter. Hosting it on Cloudflare, built in Next.js. One thing I tried differently today — used Claude to help design the UI. Described what I wanted, iterated on the design in real time, and got something that actually looks good without spending hours on Figma or fighting with CSS from scratch. The design process felt completely different — faster, more collaborative, less painful. The page is simple by design. One clear message. One action. Subscribe. No fluff. No feature bloat. Just — here's what you get, here's where you sign up. When the backend is this solid the frontend almost writes itself. Almost. #100DaysOfAI #BuildInPublic #NextJS #CloudflareWorkers #AIEngineering #Python #Newsletter #SideProject #Frontend

Hi! I’ve just published a new article in my 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 series: 𝗣𝗮𝗿𝘁 𝟱 — 𝗥𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝘀: 𝗨𝗽𝗱𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗨𝗜 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁𝗹𝘆 This article explores a practical but very important question: When state changes, how does a framework decide what should actually change in the DOM? That is where rendering engines become essential. They are the part of the system responsible for deciding:  • 𝘄𝗵𝗮𝘁 𝗻𝗲𝗲𝗱𝘀 𝘁𝗼 𝘂𝗽𝗱𝗮𝘁𝗲  • 𝘄𝗵𝗮𝘁 𝗰𝗮𝗻 𝘀𝘁𝗮𝘆 𝘂𝗻𝘁𝗼𝘂𝗰𝗵𝗲𝗱  • 𝗵𝗼𝘄 𝘁𝗼 𝗮𝘃𝗼𝗶𝗱 𝘂𝗻𝗻𝗲𝗰𝗲𝘀𝘀𝗮𝗿𝘆 𝗗𝗢𝗠 𝘄𝗼𝗿𝗸  • 𝗵𝗼𝘄 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝘀𝗰𝗮𝗹𝗲𝘀 𝗮𝘀 𝘁𝗵𝗲 𝗨𝗜 𝗴𝗿𝗼𝘄𝘀 This is also where frameworks start to diverge in a meaningful way. Some rely on rerendering and diffing. Others track dependencies more precisely. Others move more work into compilation. Different approach. Same core problem: how to keep the UI fast without turning the architecture into chaos. Once you understand the rendering engine, frameworks stop feeling like magic. You start seeing the trade-offs behind React, Vue, Lit, Solid, and others much more clearly. 👉 article link in the comments 𝗦𝗲𝗿𝗶𝗲𝘀 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 • Part 1 — Building Scalable JavaScript Frameworks • Part 2 — Why JavaScript Frameworks Exist • Part 3 — Anatomy of a Modern JavaScript Framework • Part 4 — From Templates to DOM: Parsing and Compilation • 𝗣𝗮𝗿𝘁 𝟱 — 𝗥𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝘀: 𝗨𝗽𝗱𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗨𝗜 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁𝗹𝘆 (this one) • Part 6 — Reactive Systems and Data Flow • Part 7 — Designing Component Architectures • Part 8 — Routing and Application Structure • Part 9 — Performance Strategies for Large Applications • Part 10 — The Future of Frontend Frameworks #frontend #javascript #architecture #webdevelopment #innovation

I used to spend hours on Micro-frontends architecture — when and how to split your frontend tasks. Then I tried vibe coding — letting AI handle the scaffolding while I focused on design. Result: 3x faster prototyping, same code quality. The workflow: 1. Describe the architecture in plain English 2. AI generates the boilerplate 3. I review, refactor, and optimize 4. Ship in days instead of weeks The developers who will thrive in the next 5 years aren't the ones who type the fastest. They're the ones who think the clearest. Have you tried AI-assisted development? What was your experience? #WebDevelopment #TypeScript #Frontend #JavaScript

I used to spend hours on Micro-frontends architecture — when and how to split your frontend tasks. Then I tried vibe coding — letting AI handle the scaffolding while I focused on design. Result: 3x faster prototyping, same code quality. The workflow: 1. Describe the architecture in plain English 2. AI generates the boilerplate 3. I review, refactor, and optimize 4. Ship in days instead of weeks The developers who will thrive in the next 5 years aren't the ones who type the fastest. They're the ones who think the clearest. Have you tried AI-assisted development? What was your experience? #WebDevelopment #TypeScript #Frontend #JavaScript

I used to think abstraction = “hiding complexity.” Building "https://lnkd.in/gSSR4AEv" changed that. This terminal simulator was a pure UI + JavaScript practice project — not solving a real-world problem, just exploring how far I could push the illusion of a system. 0 backend, 0 real OS integration Simulated commands, fake file system, mocked outputs, 100% client-side illusion To make it feel real, I had to ignore: OS kernel logic Process scheduling Actual file systems Memory management Millions of lines of real-world complexity — intentionally forgotten. That’s when it clicked: Abstraction isn’t hiding. It’s selective forgetting. Same idea I use in photography (1.5M+ views at Cognitek): I don’t “edit” reality — I remove distractions so the subject stands out. Frontend feels the same: We don’t build everything. We choose what not to build. And honestly — this project? It’s an old UI + JS practice experiment, not polished, not useful, not production-grade. #frontend #javascript #ui #learninginpublic #abstraction #webdev