GitHub Copilot Skills Manager for React Native

Most engineers treat CLI tools like black boxes. Understanding the modes changes everything. GitHub Copilot CLI now clearly distinguishes between interactive and non-interactive modes, and honestly this is a bigger deal than it sounds for mobile and frontend devs. Interactive mode is great for exploration and learning on the fly, but non-interactive mode is where the real power lives — you can pipe it into build scripts, CI/CD workflows, and automate repetitive shell tasks that slow down your React Native or Next.js pipelines. I've started using AI-assisted CLI tooling to speed up our team's deployment scripts and it genuinely cuts the back-and-forth. The practical shift here is that Copilot is no longer just a code completion tool inside your editor. It's becoming part of your actual infrastructure layer. For teams building production apps, especially in regulated spaces like healthcare where our scripts need to be precise and auditable, knowing exactly how your AI tooling behaves in automated contexts matters a lot. This is the kind of foundational knowledge that separates engineers who use AI casually from those who bake it into serious workflows. If you're leading a team, get your engineers comfortable with both modes — the productivity compounding effect is real 🚀 Are you using Copilot CLI in your CI/CD pipelines yet, or still keeping it just inside the editor? Curious what workflows others have built around it. #GitHubCopilot #ReactNative #NextJS #FrontendDevelopment #AITools

For modern developers, AI coding assistants have evolved from experimental novelties into absolute necessities. They are vital extensions of our cognitive process, helping us move faster and focus on the fun parts of solving complex problems. Recently, GitHub announced a significant overhaul to its Copilot plans for individual users coming in April 2026. The previous single subscription is splitting into a baseline essential tier and an advanced professional tier. What does this mean for your daily workflow? Our newest guide at FlowDevs cuts through the noise. We explain the exact feature differences, how the pricing changes affect freelancers and indie developers, and what actions you need to take right now. We even included a simple decision tree so you can quickly figure out which AI tier makes sense for your specific needs. Understanding your tools is just as important as writing the code itself. Read the full breakdown on our blog. If you are looking to integrate custom AI tools, Power Apps, and intelligent automation into your broader business systems, we are ready to bring your technical vision to life. Schedule a strategy session with us at https://lnkd.in/eAVD5GaA. #GitHubCopilot #SoftwareDevelopment #ArtificialIntelligence #WorkflowAutomation

This article provides insights on integrating the Copilot SDK into React Native apps to create AI-generated issue summaries. I found it interesting that such tools can significantly enhance productivity and streamline issue management for developers. How do you see AI tools transforming the way we handle software development challenges in the future?

Artificial intelligence is changing software development faster than we can track. GitHub just announced a massive update to Copilot for individual developers, and if you write code, you need to know what is coming. Starting April 2026, GitHub is completely restructuring its individual Copilot plans. They are introducing new pricing tiers, better AI model selection, and larger context windows. This means the AI can understand more of your project files at once to give you better suggestions. If you use Copilot for personal projects or freelance work, your subscription will change soon. The good news is that corporate and enterprise plans stay exactly the same. We just published a comprehensive guide breaking down how these updates impact your daily workflow. It includes a simple decision tree and a timeline to help you navigate the new structure without any stress. At FlowDevs, we love helping teams integrate the latest AI capabilities into their daily operations. Read our full breakdown on the blog today. If you need expert guidance evaluating AI tools or building intelligent automation for your business, let us talk. You can schedule a strategy session directly at https://lnkd.in/eAVD5GaA. #GitHubCopilot #SoftwareEngineering #ArtificialIntelligence

I’ve been reflecting on tools like GitHub Copilot and the idea of “vibe coding.” AI can definitely make coding feel easier, and it’s amazing at helping us move faster. But from my experience, it’s not as simple as it looks. To get meaningful results, you still need to clearly explain your ideas, understand the logic, and carefully review what AI generates. So maybe coding isn’t becoming effortless, it’s just changing into a different kind of skill. #AI #GitHubCopilot #Coding #SoftwareDevelopment

With AI we are not loosing jobs. Instead we are seeing explode of projects. All the impossible looking projects coming to life.

Stop leading with “Full Stack Developer.” That label is losing relevance fast. 🚨 There was a time when being able to build a React frontend and a Node.js backend made you stand out. Today? That’s becoming baseline competence. With AI tools generating boilerplate code, scaffolding apps, writing APIs, and speeding up delivery, simply knowing how to build across the stack is no longer the advantage many people think it is. In 2026, companies are shifting their attention. They are not just looking for people who can code on both ends of an application. They want engineers who understand products, customers, trade-offs, and execution. They want Product Engineers. That means your resume should tell a different story. 1. Show business impact, not just tech stacks Listing React, Node.js, TypeScript, Python, AWS, and five other tools is no longer enough. Hiring teams want to know: • Did you solve a costly operational problem? • Did you improve conversion, retention, or efficiency? • Did you challenge weak requirements and suggest better solutions? • Did your work help revenue, growth, or customer experience? Tools matter, but outcomes matter more. 2. Show judgment, not volume Anyone can generate more code now. The valuable engineer is the one who knows: • what not to build • what to simplify • what to automate • what to refactor • what to remove entirely Great engineers reduce complexity. They don’t create it. Clean systems, maintainable architecture, lower cloud bills, fewer incidents, faster teams—this is real leverage. 3. Show you can ship the final 10% AI can help build prototypes quickly. But production systems still fail in the same old places: • edge cases • poor data quality • scaling issues • race conditions • payment failures • messy integrations • real user behavior The last mile is where value lives. Companies need people who can turn something impressive in demo mode into something reliable in the real world. 4. Show product thinking Modern engineers need to think beyond tickets. Can you understand users? Can you prioritize trade-offs? Can you move fast without creating chaos? Can you align engineering decisions with business goals? That combination is harder to replace than coding alone. The new reality Being “full stack” is not useless it’s just no longer rare. The market rewards engineers who combine technical ability with ownership, judgment, product sense, and execution. Don’t market yourself as someone who can build features. Market yourself as someone who can solve problems and ship outcomes.

Stop scrolling for 10 seconds — this might change how you think about portfolios. And if it does, I’d love your feedback. Drop a comment, or share your thoughts 🚀 I didn’t build my portfolio… I connected it to my real work. Like many developers, I started with an AI-generated template (v0 by Vercel). But something felt off. It looked good — but it didn’t represent how I actually work. So I rebuilt it with a simple idea: 👉 My portfolio should evolve with me. Here’s what I changed: • Integrated GitHub APIs to fetch my real projects dynamically → No more outdated or manually added projects • Built a feedback system → Every feedback gets highlighted in the testimonial section • Implemented GSAP animations → Smooth, intentional UI/UX beyond what AI generated • Designed it in a way that it’s not just a cloneable template → You won’t find a ready-made repo for this — it’s built around how I think and build What AI gave me was a starting point. What I did was: → Turn a static template into a dynamic, living portfolio → Focus on real interaction, not just visuals This project changed my perspective: A portfolio shouldn’t be a static template — it should be a system. From fetching live GitHub data to handling feedback as a real feature, I started treating my portfolio like a product with its own architecture. Here’s my portfolio 👇 (https://lnkd.in/dtC9D4f7) #ai #buildinpublic #portfolio #nextjs #nodejs #gsap #github #jamstack

I used Copilot as my "Developer" with me being the Architect/Lead to build what I hope will be a decent Claims and Requisitions portal. The experience thus far is this: You definitely need to know what you are doing, you cannot necessarily vibe your way through all this (I mean you could but the cost will be crushing a few updates later). I have developer fundamentals, I have used Angular, Flutter and React before so I know what's going - not an SME (Subject Matter Expert) but I know what's what. I also have business context, something which both my virtual friends lack, and I understand the dynamics of the stakeholders involved and all possible changes that could occur in my ever-so-changing workplace. That gives me a significant edge over my besties over there. Can I write code better than them? No, I don't need to do. Can I read and question their thinking? Yes, I am very much capable of that. In my truest form I am what we call a problem solver (or at least I'd like to think). I see AI as a transformation tool that when used with intent and purpose can be a game changer for small organisations. Big Corps are already leveraging the power of AI across their systems, with the boom of AI engineers we are seeing a shift in what it means to develop systems rapidly. But does that mean we should all just vibe away at things? No! The drawback of AI is that you still need check the code it generates (yes, Claude Code can outperform Copilot). But the benefit is being able to quickly set things up with minimal effort and just ensuring the correct principles are followed. It is looking promising so far, I will be back with an update after I correct some of the issues I have identified. #VibePowerPlatform #VibeCoding #PowerPlatform #Copilot #Claude

🚀 From Concept to Production: Building QuickBlog the Right Way Excited to share QuickBlog — a full-stack blogging platform built with a focus on real-world engineering standards, not just features. 🔗 Explore the Project 🌐 Live Demo https://lnkd.in/dyqa227J 💻 GitHub https://lnkd.in/d6iQCwnQ 📚 Documentation (Wiki) https://lnkd.in/dzQX5Jyx 📋 Full Analysis (Notion) https://lnkd.in/dsdeetmH 🧱🚀 Scalable Full-Stack Architecture of QuickBlog https://lnkd.in/dpp7hg_m 🎯 The Goal Not just “make it work”… 👉 but build something secure, scalable, and production-ready 💡 What QuickBlog Delivers 👤 For Users 👥 ⚡ Fast, smooth blogging experience 🤖 AI-powered content generation 🧭 Clean, intuitive dashboard 📊 Real-time insights 🖼️ Optimized image performance 👨💻 For Developers 💻 🧱 Clean, structured codebase 🧩 Clear architecture & separation of concerns 🔐 Security-first approach 📈 Scalable backend design 🚀 Deployment-ready setup 🏢 For Organizations 🏭 🛡️ Security-focused foundation 📊 Designed for scalability 🔧 Maintainable and extendable 🌍 Ready for production environments 📊 The Work Behind It ✅ 34 issues identified & fixed 🧪 13 backend files analyzed 🎨 13 frontend components reviewed 🔗 14 API endpoints built 🛡️ 3-tier rate limiting implemented ⚡ Strong focus on performance & security 🔥 Key Features 🤖 AI Content Generation 📊 Admin Dashboard 🔐 JWT Authentication 🖼️ Image Optimization 🔍 Search Functionality 📱 Mobile-first UI ⚡ Performance-focused architecture 🧱 Tech Stack 🎨 Frontend: React 19 + Vite + Tailwind ⚙️ Backend: Node.js + Express 5 + MongoDB 🤖 Services: Gemini AI + ImageKit ☁️ Deployment: Vercel + Cloud platforms 🧠 Why This Project Matters Many projects focus only on features. QuickBlog focuses on: 👉 How real systems should be built 🔐 Security from the start 🧱 Scalable architecture 🧼 Clean, maintainable code ⚖️ Balance between speed and quality 📢 Open for Feedback This project is also a learning resource 📘 for developers moving from: 👉 “It works” → “It’s production-ready” #️⃣: #SoftwareEngineering 💻 #FullStack 🚀 #WebDevelopment 🌐 #Security 🔐 #Scalability 📈 #React ⚛️ #NodeJS 🟢 #MongoDB 🍃 #BuildInPublic 🛠️ #Projects 📦 #BackendDevelopment ⚙️ #FrontendDevelopment 🎨 #JavaScript 🟨 #TypeScript 🔷 #APIDevelopment 🔌 #SystemDesign 🧠 #CleanCode 🧼 #SoftwareArchitecture 🏗️ #DevOps ☁️ #CloudComputing ☁️ #RESTAPI 🌍 #Authentication 🔑 #JWT 🪪 #AI 🤖 #MachineLearning 🧠 #Startups 🚀 #TechCareer 👨💻 #Coding 💡 #Programming 💻 #OpenSource 🌟