What port is your Next.js app running on right now? If you had to think for even a second — this tool is for you. Say goodbye to localhost:3000 chaos 👋 If you've ever dealt with: ❌ Port collisions (EADDRINUSE errors at 9am) ❌ Forgetting which service runs on which port ❌ Messy URLs like :5173, :8080, :3001 scattered across tabs ❌ AI tools like Cursor guessing the wrong endpoint …this one's for you. 🚀 Meet Portless → https://port1355.dev/ It replaces port-based URLs with clean, stable .localhost names — for both humans and AI agents. Instead of: ❌ next dev → http://localhost:3000 You get: ✅ portless myapp next dev → https://myapp.localhost One line change in your package.json. That's it. ⸻ 💡 Why it's a game-changer: ✨ Zero port conflicts — smart reverse proxy, auto-assigned ports under the hood. Works with Next.js, Vite, Express, Nuxt, Astro and more 🔒 Instant HTTPS — one-time cert setup, no more browser security warnings 🌿 Git Worktree Magic (my personal favorite) — branch-based URLs, automatically: 👉 fix-ui.myapp.localhost No config. Just works. 🏗️ Microservices-friendly — structure local apps like production: 👉 api.myapp.localhost 👉 docs.myapp.localhost 🤖 AI-friendly — stable, predictable URLs mean fewer wrong endpoint guesses from your AI coding tools ⸻ ⚡ My take: Portless doesn't introduce something fundamentally new. It removes a friction every developer silently suffers from every single day. If you're working with React, Node, Next.js, multiple services, or AI-assisted coding, this is absolutely worth trying. 👉 https://port1355.dev/ #softwareengineering #webdevelopment #developerexperience #reactjs #nodejs #ai
Resolve Next.js Port Conflicts with Portless
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5 things I wish I knew before building my first AI-powered web app: 1. APIs > Models (for most devs) You don't need to train a model from scratch. Groq, OpenAI, Gemini — pick one. Build fast. 2. Frontend lies. Backend cries. The UI looks clean. The server is on fire. Always be the person who checks the logs. 3. .env files will save your life. I learned this the hard way. Never. Hardcode. Your. API. Keys. Ever. 4. Your first version will be embarrassing. Ship it anyway. V1 is supposed to be ugly. Waiting for perfect = never launching. 5. Stack Overflow is not dead. It's just on Reddit now. r/webdev saved me more times than I can count. --- I'm currently building a full-stack AI web app using React + Node.js + Groq API. Every mistake on this list? I made it personally. 😅 Which one hit? Drop it below 👇 And if you're also building something with AI — let's connect. I'd love to see what you're working on. #AI #FullStackDevelopment #WebDevelopment #AITools #ReactJS #NodeJS #BuildInPublic #StudentDeveloper #TechTwitter #LearnInPublic
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🚀 I Added AI to My React App Without a Backend, API Key, or Even an npm Package 🤯 Today I experimented with Puter.js in a React app and it honestly feels like one of the fastest ways to learn AI integration in frontend projects. ⚠️ This is mainly for testing, learning, prototypes, and side projects — not something I would directly use in production yet because the free usage is limited and there can be rate limits. The best part? There is nothing to install with npm. For React, you only need to add this script once: `<script src="https://js.puter.com/v2/"></script>` or dynamically load: `https://js.puter.com/v2/` Then from React you can directly call AI. As a small test, I built a feature where the user only types: “ask client to send pending invoice and mention payment is delayed” …and AI instantly converts that into a complete professional email with subject and body ✉️ Why I think this is interesting 👇 ✅ Perfect to understand how AI can fit into existing React apps ✅ Great for quickly testing ideas before investing in a real AI backend ✅ Helps learn prompting and structured JSON responses ✅ Super useful for prototypes, demos, and hackathons Some ideas you can build in minutes: 🔥 AI email generator 🔥 Smart search filters from plain English 🔥 Error explanation from raw console errors 🔥 Ticket summarizer 🔥 Form auto-fill from one sentence For production, I would probably move to a proper backend or local model later, but for learning AI integration in React this is honestly one of the easiest tools I have tried. #reactjs #javascript #ai #puterjs #frontend #webdevelopment #reactdeveloper #codeinuse
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A few days ago I was debugging a Next.js app, API key accidentally exposed in a client component, AI call timing out on slow connections, UI frozen while waiting on a response. Classic mistakes. But they taught me something I now apply to everything I build. AI doesn't belong in your UI layer. It belongs at the data layer. Here's what I mean: The best pattern I've found is to keep AI logic server-side (API routes or Server Components), pass clean typed results down to your client components. Your UI stays fast. Your keys stay safe. Your prompts stay yours. Practically: -> AI calls live in the server, not the component -> Zustand or React Query for client state; Redux only for real enterprise complexity -> TypeScript + Tailwind is the best target for AI-generated UI right now — readable, editable, production-safe The stack that makes all of this clean in 2026: React 19 + Next.js 15 + TypeScript 5 + Tailwind v4 Server Components are default now. TypeScript is no longer a debate, it's just how production apps are built. Tailwind v4 dropped the config file entirely. Now building Errnd solo, the question I ask myself before every architectural decision is: where does intelligence live in this component tree? Get that answer right and everything downstream gets easier. What patterns are you reaching for when integrating AI into React? Would love to compare notes! #ReactJS #TypeScript #FullStack #BuildingInPublic #JavaScript #WebDevelopment #SoftwareEngineering #AI #TechCareers #FullStackDeveloper #NextJS #TypeScript #RubyRevenko
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🌐 What if you could build an entire web app — with AI baked right in? That's not the future. That's this course. And it starts NOW. 🚀 AI-Powered Full-Stack Web Development is an 18-week beginner-to-builder journey that takes you from zero to launching your own AI-powered SaaS application. Yes, really. 🤯 Here's your roadmap: ✅ HTML, CSS, JavaScript & React — frontend foundations ✅ Node.js backend & REST APIs ✅ Next.js 14+ App Router & Server Components ✅ Integrate OpenAI, Anthropic & Open-Source LLMs ✅ Real-time AI chat interfaces with WebSockets & SSE ✅ Vector + Relational database design for AI apps ✅ Role-based access, rate limiting & cost controls for AI ✅ Deploy on Vercel & AWS ✅ Capstone: Build & launch your own AI SaaS app 🏆 📦 19 modules. 18 weeks. 4 sessions/week. All online. 🏆 Industry certificate included 💰 Only $27 — no prior coding experience needed! From absolute beginner to AI full-stack developer in 18 weeks. This is the most complete course we offer. 🔥 🚀 Enroll now and build the apps of tomorrow — today! 🔗 https://lnkd.in/drViaK4N #FullStackDevelopment #AIIntegration #ReactJS #NextJS #NodeJS #OpenAI #WebDevelopment #LearnToCode #SaaSBuilder #TechCareer
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Before Laravel 13, adding AI to a Laravel app meant writing your own abstraction layer, managing provider-specific SDKs, and hoping it held together when you needed to swap models. I went through that myself. Built an OpenRouter integration from scratch in a production SaaS. It worked, but it required a lot of code nobody should have to write. Laravel AI SDK is now first-party, production-stable, and ships with the framework. No more custom service classes. No more raw Http::post() calls. No more god services that know too much. I just published a complete guide covering: - How to configure OpenRouter as your provider (100+ models, one API key) - Building your first Agent with php artisan make:agent AgrentName - Structured output so you get typed objects back, not raw text - Streaming responses to the frontend - Queuing heavy AI jobs properly - Provider failover so your app keeps running if one provider goes down - Testing AI features with built-in fakes, zero real API calls in CI - Semantic search with embeddings in Eloquent (bonus) The best part? Switching providers is now a one-line config change. Zero application code changes. Full guide here: https://lnkd.in/gE5YmqWm #Laravel #PHP #AI #Laravel13 #OpenRouter #BackendDevelopment #SoftwareEngineering
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PHPStorm's Junie AI, v0.dev, and Google's Antigravity IDE are solving completely different problems. And I use all three. Here's how I think about them: v0.dev → I give it a UI requirement for NextJS-related projects. It spits out clean, production-ready React/Tailwind code in seconds. It's like having a frontend developer on standby. For rapid prototyping and MVP UI work — unmatched. Junie AI → Lives inside PHPStorm. It understands my existing Laravel codebase in context. It's not just generating — it's reasoning about what's already there. Perfect for feature additions, refactors, and anything where codebase awareness matters. Google Antigravity → This one's different. It's not an autocomplete tool or a sidebar assistant. It's a Mission Control. You spawn multiple agents that work in parallel across different workspaces — one plans the architecture, another writes code, a third runs tests, a fourth checks the UI in a live browser — all asynchronously, without blocking each other. When I need to tackle something large across any project— think multi-module refactors or new feature pipelines — Antigravity lets me act like a full-stack team of one. The mistake people make is treating these as competitors. They're not. They're different layers of the same development workflow. v0.dev for UI. Junie for backend logic and codebase-aware work. Antigravity when I need to orchestrate agents across a complex, multi-step mission. Three tools. Different jobs. Zero redundancy. One honest caveat on Antigravity: the free-for-everyone honeymoon ended — pricing tiers arrived, rate limits tightened, and parts of the community are frustrated. It's real. Factor it into how you build your workflow around it. But the paradigm it introduced? That's not going away. Are you mixing tools yet — or still looking for one tool to rule them all? #JunieAI #v0dev #GoogleAntigravity #PHPStorm #Laravel #AITooling #DeveloperProductivity #FullStackDeveloper #Murtajil
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Your entire AI skill stack. Installed. With one command. midudev just dropped autoskills, a powerful CLI that scans your project and installs the best AI agent skills, fast ⚡ Free and open-source! → One command installation → Auto-detects your tech stack → No config needed Some great use cases: #1 - I want to quickly add AI capabilities to my app → autoskills scans your project files (like package.json) to detect your tech stack and installs matching AI agent skills from skills.sh. #2 - I need to support a wide range of frameworks → it supports React, Next.js, Vue, Svelte, Angular, Astro, Tailwind CSS, TypeScript, Supabase, Neon, Playwright, Expo, React Native, Kotlin Multiplatform, Android, AWS, SwiftUI, and many more! #3 - Just want a streamlined setup → run npx autoskills and it handles the rest. Check out the free, open-source repo: → https://lnkd.in/gDZZ7FEW ---- ♻️ If this was useful, repost it so others can benefit too. Follow me for more post like this
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🚀 Excited to Share My Latest Full-Stack Project: AI Image Generator – “Imagify” 🎨✨ Over the past few months, I’ve been diving deeper into full-stack development, and I challenged myself to build something that’s not just functional—but genuinely fun and interactive to use. Today, I’m proud to introduce Imagify! 🚀 💡 What does it do? Simply type any scene you can imagine, and the app uses AI to generate vibrant, high-quality images within seconds. Whether it’s “a neon cyberpunk hacker” or “a futuristic city at sunset”, Imagify brings ideas to life instantly. ✨ Key Features: 🔹 AI-powered image generation 🔹 Smooth and responsive UI with real-time feedback 🔹 Secure credit-based system for managing usage 🔹 Integrated payments for purchasing credits 🛠️ Tech Stack: 🔹 Frontend: React, Vite, Tailwind CSS, Framer Motion 🔹 Backend: Node.js, Express.js 🔹 Database: MongoDB 🔹 Payments: Stripe 🔹 Deployment: Vercel 📚 What I Learned: This project helped me gain hands-on experience with: ✔️ Serverless architecture ✔️ Managing secure environment variables ✔️ Handling async operations & loading states in UI ✔️ Building scalable and production-ready full-stack apps 🎥 Check out the demo below in real time! 👇 🔴 Live Demo: https://lnkd.in/dBWNsFUw 💻 GitHub Repo: https://lnkd.in/dbzVSWTp 💬 Curious to hear from you: What would you generate first? Drop your creative prompts in the comments! 🤖💭 #WebDevelopment #ReactJS #NodeJS #ArtificialIntelligence #MERNStack #SoftwareEngineering #FrontendDeveloper #TailwindCSS #FullStackDeveloper
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Ever get stuck on a LeetCode problem and wish you had a mentor sitting right next to you? Over the last few days, I’ve been building a solution for exactly that. I’m incredibly excited to share my latest project: The LeetCode AI Helper! 🚀 Instead of constantly switching tabs to ask for hints and solution which is btw is so annoying (atleast for me 😣 ) , I engineered a custom Chrome Extension that injects a context-aware AI tutor directly into the LeetCode environment. ✨ Core Features: 1. Context-Aware DOM Scraping: The extension automatically reads the active problem description from the page so the AI knows exactly what you are working on—no copy-pasting required. 2. Native Code Highlighting: I implemented a custom Markdown parser so whenever the AI writes code, it formats with a VS Code Dark theme using react-syntax-highlighter. 3. Bring-Your-Own-Key Architecture: User API keys are securely saved locally via Chrome’s storage API to ensure total privacy. 🛠️ The Tech Stack: React, Vite, Google Gemini API, and Chrome Extensions API V3. 💡 My Technical Learnings: 1. Building an extension in React is a completely different beast than building a standard web app! Some of my favorite challenges included: The "Invisible Glass Shield" Bug: Figuring out how to inject a React root over an existing website without intercepting the user's mouse clicks (pointer-events manipulation was key here!). Sometimes wrapper can be the pain instead of being a convenience 🙂 2. Dynamic Viewport Layouts: Managing complex CSS Flexbox rules to ensure the chat UI dynamically resizes and handles text-wrapping without breaking LeetCode's native layout. State Management in Extensions: Learning how the DOM interacts with floating React components. 3. The extension will be officially launching on the Chrome Web Store soon, but for now, the source code is completely open-source! You can check out the GitHub repository and try it out locally here: [https://lnkd.in/gHRt9cqQ] Let me know what you think, or if you have any feature suggestions! #React #FrontendDevelopment #ChromeExtension #WebDevelopment #JavaScript #GoogleGemini #SoftwareEngineering #LeetCode
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𝗦𝗼𝗹𝘃𝗶𝗻𝗴 𝘁𝗵𝗲 "𝗪𝗵𝗮𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝗜 𝗯𝘂𝘆?" 𝗱𝗶𝗹𝗲𝗺𝗺𝗮 𝘄𝗶𝘁𝗵 𝗔𝗜 I developed a Gift Suggestion Assistant, a lightweight yet powerful tool designed to help users find the perfect presents for their loved ones when they're stuck for ideas. Even though the app seems simple, it is a way to demonstrate how to blend older technologies with new ones and, most importantly, show the importance of keeping yourself up to date with the latest industry shifts. What it does: The app acts as a "Gift Genie," analyzing user prompts for context like location and personality. It returns a formatted list of tailored suggestions and even asks smart follow-up questions to refine the search—ensuring every gift is as unique as the person receiving it. 𝑇ℎ𝑒 𝑇𝑒𝑐ℎ 𝑆𝑡𝑎𝑐𝑘: 𝐸𝑛𝑔𝑖𝑛𝑒: 𝑂𝑝𝑒𝑛𝐴𝐼 𝐴𝑃𝐼 (𝐺𝑃𝑇-5-𝑛𝑎𝑛𝑜) 𝐵𝑎𝑐𝑘𝑒𝑛𝑑: 𝑁𝑜𝑑𝑒.𝑗𝑠 & 𝐸𝑥𝑝𝑟𝑒𝑠𝑠𝐽𝑆 𝐹𝑟𝑜𝑛𝑡𝑒𝑛𝑑: 𝑉𝑎𝑛𝑖𝑙𝑙𝑎 𝐽𝑎𝑣𝑎𝑆𝑐𝑟𝑖𝑝𝑡 (𝐸𝑆6+) 𝑆𝑒𝑐𝑢𝑟𝑖𝑡𝑦: 𝐸𝑛𝑣𝑖𝑟𝑜𝑛𝑚𝑒𝑛𝑡 𝑣𝑎𝑟𝑖𝑎𝑏𝑙𝑒 𝑝𝑟𝑜𝑡𝑒𝑐𝑡𝑖𝑜𝑛 & 𝑠𝑒𝑐𝑢𝑟𝑒 𝐴𝑃𝐼 ℎ𝑒𝑎𝑑𝑒𝑟𝑠 𝘊𝘩𝘦𝘤𝘬 𝘰𝘶𝘵 𝘵𝘩𝘦 𝘤𝘰𝘥𝘦: The full repository is available on my GitHub account! Feel free to explore the integration and reach out if you have any questions about the architecture. #AI #GenerativeAI #OpenAI #GPT5 #WebDevelopment #NodeJS #ExpressJS #JavaScript #SoftwareEngineering #TechInnovation #FullStack
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