GitHub Copilot CLI Modes for Mobile and Frontend Devs

🚀 As a React Native Architect, I’ve been exploring AI-assisted development workflows with GitHub Copilot. It’s powerful — but there’s a practical gap I keep running into. 👉 Copilot doesn’t always reflect the latest patterns from fast-moving libraries 👉 It has no awareness of internal repos or team-specific implementations 👉 Bringing that context into your workflow is still mostly manual For example, projects like react-native-executorch evolve quickly. Even when a repo includes structured knowledge (like a skills/ folder), there’s no simple way to plug that into your local AI workflow. 💡 So I built a small utility to experiment with this idea: ⚡ Skills Manager By TCBS (https://lnkd.in/g7bYCFAN) — a VS Code extension to sync repo-based Copilot agent skills locally. 🔧 What it does: Connect multiple GitHub repositories as skill sources Sync skills into ~/.agents/skills Pull only changed files (SHA-based smart sync) Support branch + path-based configuration Work with private repos (token support) Optional auto-sync on startup or intervals 🧠 What makes it more useful: You’re not limited to public libraries. 👉 Teams can define their own skills inside any project repo 👉 Share internal patterns, best practices, or workflows 👉 And sync them across developers automatically So your AI workflow isn’t just generic — it’s team-aware and project-aware. 🎯 Why this matters (to me): As mobile architects, we deal with: Rapidly evolving libraries Internal abstractions Reusable patterns across apps If AI is part of our workflow, we should be able to control the context it works with. ⚠️ This is an early (v1) version — built to validate the idea. Would genuinely appreciate: Feedback Suggestions Contributions The repo is public 👇 #ReactNative #GitHubCopilot #AIEngineering #DeveloperTools #MobileArchitecture #TypeScript #OpenSource

𝑪𝒐𝒏𝒔𝒊𝒔𝒕𝒆𝒏𝒄𝒚 𝒄𝒐𝒎𝒑𝒐𝒖𝒏𝒅𝒔 𝙊𝙫𝙚𝙧 𝙩𝙝𝙚 𝙡𝙖𝙨𝙩 𝙮𝙚𝙖𝙧, 𝙄’𝙫𝙚 𝙢𝙖𝙙𝙚 800+ 𝙘𝙤𝙣𝙩𝙧𝙞𝙗𝙪𝙩𝙞𝙤𝙣𝙨 𝙤𝙣 𝙂𝙞𝙩𝙃𝙪𝙗 — 𝙣𝙤𝙩 𝙟𝙪𝙨𝙩 𝙘𝙤𝙢𝙢𝙞𝙩𝙨, 𝙗𝙪𝙩 𝙧𝙚𝙖𝙡 𝙡𝙚𝙖𝙧𝙣𝙞𝙣𝙜, 𝙗𝙪𝙞𝙡𝙙𝙞𝙣𝙜, 𝙖𝙣𝙙 𝙞𝙢𝙥𝙧𝙤𝙫𝙞𝙣𝙜 𝙚𝙫𝙚𝙧𝙮 𝙨𝙞𝙣𝙜𝙡𝙚 𝙬𝙚𝙚𝙠. • Building full-stack applications (React, Node.js, PostgreSQL) • Working on a Fleet Management System • Exploring system design & optimization (CPU scheduling simulator) • Improving UI/UX with modern Tailwind designs What I learned: 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 > 𝗠𝗼𝘁𝗶𝘃𝗮𝘁𝗶𝗼𝗻 Small daily progress builds real skills Still a long way to go, but enjoying the journey 💻 🔗 GitHub: https://lnkd.in/gBPqCB78 #webdevelopment #fullstack #100DaysOfCode #consistency #webdev #codeanddebug

🚨 You're using GitHub Copilot wrong — and it's costing you hours every week. Most developers just open Copilot and start chatting. But without context, Copilot is just guessing about your stack, your conventions, and your project structure. The fix? Repository Custom Instructions. One file. Permanent memory. A smarter AI assistant for your entire team. Here's what you can do with it 👇 🟢 Create a .github/copilot-instructions.md file to give Copilot a permanent project brief — your stack, build commands, coding rules, and folder structure 🟢 Add path-specific instruction files in .github/instructions/ to apply different rules to different parts of your codebase (frontend vs backend vs tests) 🟢 Use an AGENTS.md file to guide the Copilot cloud agent so it can write PRs that actually pass your CI on the first try 🟢 Control scope with glob patterns — target only TypeScript files, only Python files in a specific folder, or your entire repo 🟢 Use excludeAgent in your frontmatter to restrict certain instructions to either code review or the cloud agent — not both 🟢 Create prompt files (.github/prompts/) for repeatable tasks like "generate a new API endpoint" or "write a unit test" — invoke them in one command 🟢 Custom instructions work across VS Code, Visual Studio, JetBrains, Xcode, and the GitHub web UI 🟢 All instruction types stack together — personal, repository, and organization instructions all apply, with personal taking highest priority The result? Copilot stops suggesting the wrong test framework. The cloud agent stops breaking your build. Code reviews align with your actual standards. One markdown file → a permanently smarter AI that knows your project like a teammate. I wrote a full step-by-step guide on Medium covering everything from setup to pro tips: https://lnkd.in/g-QuhhnF If this helped, drop a ♻️ to share it with your team. #GitHubCopilot #AITools #DeveloperProductivity #SoftwareEngineering #Coding #AIAssistant #GenerativeAI #DevTools #TechTips #DevCommunity #FutureOfWork #VSCode #CodeQuality #ProgrammingTips #Automation

Always Be Building (ABB) taught me more than following along with a tutorial. Although tutorials helped me begin my journey, building my own projects forced me to grow as a developer. Building projects adds to my experience of: -Debugging -Connecting frontend to backend -User experience / User clicks -Learning when to take a break…only to realize it’s missing a semicolon or my variable has a typo All of these experiences are a set back in the moment, but a solution for the future! #FullStack #WebDevelopment #Backend #Frontend #WomenInTech #SoftwareEngineer

🚀 GitHub Copilot in .NET — Powerful… but Dangerous if You Trust It Blindly Most developers say: 👉 “Copilot increased my productivity” True. But here’s what they don’t say 👇 🧠 GitHub Copilot feels like a 10x developer… Until you review the code. 💻 Real Example (.NET Web API) You start writing: [HttpGet] public IActionResult Get() 👉 Copilot completes the entire method 👉 Adds sample data 👉 Returns Ok(...) Looks perfect, right? ⚠️ Now the Reality Check ❌ No validation ❌ No async handling ❌ No proper architecture ❌ Hardcoded data ❌ No security 👉 It works… but it’s NOT production-ready 🧱 Where It Breaks in Real Projects Clean Architecture → ❌ Layers get mixed Dependency Injection → ❌ Wrong lifetimes Security → ❌ Weak JWT / missing policies Testing → ❌ Shallow test cases 💡 The Biggest Mistake Using Copilot like this: 👉 “Write everything for me” Instead of: 👉 “Assist me while I design” 🎯 Smart Dev Strategy ✅ Use Copilot for: Boilerplate code CRUD APIs DTOs & Models Repetitive logic 🚫 Don’t rely on it for: Architecture decisions Security implementation Complex business logic 🧠 Pro Tip (Game Changer) Write intent first 👇 // Secure API with role-based authorization and async handling 👉 Copilot output improves dramatically 🧨 Brutal Truth Copilot writes code like a fast junior developer You still need to act like a senior reviewer 🔥 Final Take Copilot accelerates coding, not thinking. 💬 Be honest — Have you ever shipped Copilot code without reviewing it properly? #DotNet #GitHubCopilot #SoftwareEngineering #CleanArchitecture #Developers #AIinTech #Coding #TechLeadership

Building SyncBoard — my collaborative task management project, and this week’s villain was... drag and drop. What looked simple: “Just move a card from one list to another.” What actually happened: • Card disappeared mid-air • Card teleported to the wrong list • UI froze dramatically • Backend said: Card does not belong to the provided source list (fair enough) After debugging state sync, frontend/backend logic, and too many questionable life choices, it finally works. Current progress on SyncBoard: • Auth system complete • Boards / Lists / Cards working • Role-based access control • Smooth drag-and-drop across lists Biggest lesson: A feature working once is easy. Making it work properly is where learning starts. Next boss fight: Socket.io for real-time collaboration. If you’ve ever fought drag-and-drop bugs, you know this victory means something. #BuildInPublic #React #Redux #Nodejs #MongoDB #WebDevelopment #SoftwareDeveloper

Anthropic vs GitHub As AI tools increasingly become part of our development workflows, developers now seek tools that not only boost productivity but also offer a seamless experience from setup to sustained use. When we compare Anthropic and GitHub, we're diving into how these tools stand up to the task. Let's start with SETUP TIME. GitHub Copilot has a definite edge here, courtesy of its smooth integration with Visual Studio Code. Developers can get started with Copilot with minimal friction, essentially letting you dive right into coding without missing a beat. Claude Code, though robust, demands a more attentive setup process that might stall a newcomer's momentum. Next, DOCUMENTATION QUALITY. GitHub Copilot has harnessed its ecosystem well, offering exhaustive guidance that is easy to navigate and actionable. Claude Code doesn't lag behind; its documentation is densely packed with insights, though it can at times be overwhelming for newcomers without a guided walkthrough. When it comes to SDK ERGONOMICS, both tools have tailored their offerings well. Copilot's context-aware suggestions make it less intrusive, allowing developers to stay in the flow. Conversely, Claude Code fosters experimentation and creativity through strategic design in its SDK, albeit with a steeper initial learning curve. Ultimately, DEVELOPER HAPPINESS is an amalgam of these factors. Copilot's ease of entry and intuitive guidance may best serve those seeking quick wins and efficiency. Meanwhile, developers who appreciate a more nuanced learning journey might find Claude Code rewarding in the long run. Where do you stand? Do you prioritize rapid setup or do you value a tool that encourages deep diving into AI-assisted coding? Let's discuss. See the full comparison: https://lnkd.in/ehjzqjJ7 #ClaudeCode #GitHubCopilot #DeveloperExperience

For the past 1 month I created atleast 6 different claude plugins and 5 different skills. Some of those got merged into amazing repos. Even if vibecoding did nothing else, it gave me opportunity to contribute to OpenSource. Repos I contributed to include some of the finest and most used skills-hubs Like #AwesomeCopilot #EverythingCLaudeCode #Framecraft - https://lnkd.in/gD27_A4T #CodeTour - https://lnkd.in/erPwXRX2 Here is a list of recent merges : CODE-TOUR ECOSYSTEM 📚 📚Generates interactive code walkthroughs automatically. Claude analyzes your codebase and creates guided tours, making onboarding and code understanding effortless. 💼 #ClaudeSkills : https://lnkd.in/eJMSENtE ⭐ 10,710 ⭐ #AwesomeCopilot :  https://lnkd.in/emsj9PUU  ⭐ 29,430 ⚡ #EverythingClaudeCode: https://lnkd.in/exxqcD9Q FRAMECRAFT ECOSYSTEM 🎥 🎥 Builds demo videos for code projects automatically. Showcases functionality visually without the heavy lifting of manual production. #ClaudeCodePluginsPlusSkills: https://lnkd.in/eAdem3ND ⭐ 1,913 🎬 #ClaudeSkills : https://lnkd.in/eJMSENtE ⭐ 10,710 Grateful for these opportunities to contribute to the developer tools ecosystem. 💻 #OpenSource #AI #DeveloperTools #GitHub #Contributions #SoftwareDevelopment #Coding #WebDevelopment #Programming #TechCommunity #CloudComputing #DevOps #Docker #Automation #ArtificialIntelligence #MachineLearning #Claude #GitHubContributor #CodeQuality #BestPractices #ContinuousIntegration #Deployment #Tools #Innovation #TechStack #Developer #SoftwareEngineer #FullStack #BackendDevelopment #FrontendDevelopment #WebTools #BrowserExtension #Productivity #CodeTour #VideoGeneration #Containerization #NetworkInfrastructure #DeveloperTools #OpenSourceCommunity #Community #Collaboration #GrowthMindset #LearningJourney #CareerDevelopment #TechLeadership #Innovation #Excellence #Passion #MakingAnImpact

Everyone says you need Vercel or Netlify to deploy a SaaS product. They're wrong. I run 7 live platforms. Every single one deploys through GitHub Pages and GitHub Actions. Total monthly hosting cost: $0. Here's what changed: Before: I was setting up Vercel projects, managing environment variables across dashboards, getting surprise bills when traffic spiked, troubleshooting deployment failures in yet another UI. After: One 43-line file in my repo. Push to main. Site is live in 3 minutes. No dashboard. No variables. No bill. The workflow is embarrassingly simple: - Triggers on push to main - Runs TypeScript compiler and Vite build - Deploys dist/ to GitHub Pages - Done Two details matter: concurrency is set to wait, not cancel (no half-deployed states). Permissions are explicit and minimal (security without paranoia). When I'm working with Claude Code and push a brand color tweak or a product pivot, deployment is automatic. The deployed version always matches what's in git. For CloseDeals and every other pre-revenue product, this is the stack. No complexity. No cost. No operational overhead. The 43-line file is directly portable to any Vite project. Copy once, deploy forever. If you're building pre-revenue SaaS where every dollar matters, stop paying for hosting you don't need yet. What's holding you back from trying GitHub Pages? #AI #SaaS #FounderLife #BuildInPublic #NoCode

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?