Insiders’ Post

What if your code could think with you? 👀 Meet GitHub Copilot, your AI pair programmer that turns comments into code and ideas into reality. Developed by GitHub + OpenAI, it understands context from your code editor and suggests complete functions, loops, and even tests — all in real time. No more Googling syntax or StackOverflow hunting. Just write a comment like: // fetch data from API and display user list and watch Copilot write the code for you. Why developers love it: ✅ Saves 40–50% of time writing boilerplate code ✅ Learns from your style and improves suggestions ✅ Integrates directly in VS Code, JetBrains, and Neovim ✅ Supports dozens of languages (JS, Python, Go, Java, etc.) Pro Tip: Use Copilot for repetitive patterns — like writing hooks, testing code, or CRUD APIs — but always review logic for business-critical apps. 🧩 Copilot isn’t replacing developers — it’s amplifying them. #AITools #GitHubCopilot #Developers #Productivity #TechChallenge #AIforDevelopers

🚀 Recently attended GitHub Universe 2025 — “Build apps & agents that scale with VS Code, GitHub Copilot, and Agent Framework.” What impressed me most was how GitHub is redefining software development itself. Instead of manually coding every detail in C++, Python or Java, developers are now orchestrating AI agents that understand entire projects, write and refactor code, run tests, and even deploy apps — all within VS Code. 💡 This is not about replacing developers — it’s about amplifying human creativity. The next-generation engineer will: Describe intent in natural language, Guide multiple Copilot Agents, Focus on architecture, design, and system reasoning, while agents handle the repetitive coding and integration work. For educators, researchers, and engineers, this shift means teaching not just programming syntax but AI-assisted system design — how to think, reason, and collaborate with intelligent tools. 🔗 The age of “AI-native engineering” has arrived — and it’s accelerating fast. #GitHubUniverse #AIEngineering #VSCode #Copilot #AgentFramework #LLMs #DevOps #OpalAIStudio #AIinEducation

🚀 Ever feel like you're drowning in a sea of GitHub repos — wishing there was a magic wand to instantly create polished READMEs and licenses? 😩 I’ve been there! As developers, we love coding... but let’s be honest — writing the README is always the last thing on our to-do list. That pain sparked an idea during one frustrating weekend debugging session: “There HAS to be a better way!” 🤔 And so, I built Free Readme & License Generator — an AI-powered tool that automatically creates professional Readme and LICENSE files for your GitHub projects. 🎉 ⚙️ How It Works Just enter your: GitHub repository URL Username Preferred license (MIT, Apache 2.0, or GPL-3.0) 💡 It then analyzes your repo and generates clean, well-structured documentation — all in seconds. 🧠 Tech Stack • FastAPI — For a blazing-fast Python backend • OpenAI API — To generate intelligent, structured content • React + Tailwind CSS — For a smooth, responsive UI • Docker — For consistent deployments ✨ Key Features Automated README Creation — No more blank markdowns! License Selector — Choose from common open-source licenses. Smart File Analysis — AI scans your repo to tailor the README. Simple, Clean UI — Because dev tools should be delightful. 💪 Challenges & Learnings Parsing code intelligently was harder than expected — making AI understand project structure took multiple prompt iterations. Also learned how to optimize OpenAI API costs and manage rate limits effectively. This project helped me grow in: AI integration with real-world apps Backend + frontend synergy Building for developer experience (DX) 🔗 Try it out 🧩 GitHub Repo: https://lnkd.in/eeU8gp7g 🌐 Live Demo: https://lnkd.in/ekGJBn8e I built this to save hours of repetitive work — and it’s already made my projects smoother to publish. What’s one thing you wish was automated in your dev workflow? 👇 Would love to hear your thoughts! 💬 #AI #OpenAI #DeveloperTools #GitHub #Automation #Coding #Productivity #Python #React #FastAPI #DevTools #WebDevelopment #MachineLearning #Innovation #OpenSource #SoftwareEngineering #TechInnovation #BuildInPublic #LLM #CloudComputing #Developers

Just shipped v2.0.0 of my Ultimate Media Downloader after completely rebuilding it from scratch! - Just one command in terminal i.e. "umd" Honestly, this started as a simple weekend project to download YouTube videos for offline studying, but it turned into something way bigger. I ended up learning a ton about software architecture, design, and why documentation actually matters (shoutout to everyone who's tried to use my v1.0 without instructions 😅). Made it globally available where you don't need to open the folder python3 ultimate_downlaoder.py Just simple commands :- open terminal or command prompt and type "umd" which is globally available What's new: - Supports 1000+ platforms now (YouTube, Spotify, Instagram, TikTok, SoundCloud, Twitter, and more) - Rewrote everything with proper modular architecture instead of one giant 2000-line file - Built a decent CLI interface with progress bars that actually look good - Wrote 8 documentation files including flowcharts (never thought I'd enjoy writing docs but here we are) The whole project taught me more about clean code and system design than any of my coursework. Turns out reading other people's code and figuring out why your own breaks is the best way to learn. If you're interested in checking it out or want to contribute: https://lnkd.in/giiHT4em Would love feedback from anyone who tries it out. Also happy to help if you're working on similar projects or just want to chat about Python and web scraping! #OpenSource #Python #SoftwareDevelopment #StudentDeveloper #Coding #GitHub

💡 LinkedIn Post: “How Copilot Helps Beginners Code Smarter” 🚀 Learning to code just got easier — thanks to GitHub Copilot! If you’re just starting your coding journey, Copilot can be your AI-powered mentor inside your IDE. Here’s how it can supercharge your learning: 🧠 Learn by Example: Type a comment like “// write a Python function to check prime numbers” — Copilot writes it for you. Study and tweak the result. ⚡ Boost Productivity: No more struggling with boilerplate setup or syntax — focus on logic, problem-solving, and creativity. 🧩 Explore New Libraries: Unsure how to use NumPy, React, or Flask? Copilot suggests correct patterns and syntax instantly. 🧭 Ask and Understand: You can prompt Copilot with “Explain this code” to learn what’s happening line by line. 🎯 Pro Tip: Use Copilot as a learning partner, not a crutch — always test, verify, and understand the code before accepting it. 💬 Are you using Copilot for your projects? Share your experience below 👇 #GitHubCopilot #AI #Coding #Beginners #SoftwareDevelopment #LearningToCode #Productivity #VSCode #OpenAI #TechForAll

Some of you might be using Cursor... some of you swear by GitHub Copilot... But let’s be real — which is actually the BEST coding agent to use right now? As a Frontend Developer, I’ve tested them both — not just for code completion, but for what really matters: Speed of understanding context How well it writes React logic + hooks + clean UI code Ability to debug or refactor existing components And how “intelligently” it collaborates with me Here’s what I’ve noticed: GitHub Copilot → feels like a smart autocomplete — great for productivity, but limited understanding of project context. Cursor → more like an AI teammate. It reads your files, explains code, auto-fixes bugs, and can even suggest architecture-level improvements. But here’s the real game-changer — Agentic AI tools (like Cognition Labs’ Devin or OpenDevin) are coming next. These aren’t just code assistants — they’re autonomous agents that can plan, reason, and code end-to-end. So the future question might not be “Which AI helps you code faster?” It’ll be “Which AI can build with you?” I’m curious — what’s been your experience so far? Cursor? Copilot? Or something else that blew your mind? Let’s settle this debate #AI #FrontendDevelopment #ReactJS #GitHubCopilot #Cursor #AgenticAI #DeveloperTools #WebDevelopment #CodingLife #Innovation #FutureOfWork

GitHub Copilot vs Traditional Coding: A Developer’s New Reality There was a time when writing code meant googling for snippets, scanning Stack Overflow, and piecing together logic line by line. Now, with GitHub Copilot, the game has changed — not just in speed, but in how we think about coding. 💡 Traditional Coding: • You write every line manually • Debugging consumes 40–60% of your time • You spend hours switching between docs, forums, and IDE ⚙️ With Copilot: • It understands context and predicts your next line or function • Suggests test cases, regex, and edge cases on the fly • Acts like a 24x7 pair programmer — one that never gets tired But here’s the truth — Copilot doesn’t replace developers. It amplifies them. The real skill now is prompt-driven development — knowing how to communicate with your AI assistant effectively. As AI-driven tools evolve, developers who blend engineering expertise + prompt precision will stand out as the new generation of builders. 💬 What’s your take? Has Copilot changed your coding workflow yet? #GitHubCopilot #AIDevelopment #DeveloperProductivity #PromptEngineering #GitHub #AIForDevelopers

Tired of git commit -m "fixes"? I created py-cogit to solve that. 🚀 It's an open-source CLI tool that uses Google's AI to act as your personal code review assistant. Right after git add and before you commit, py-cogit gives you: ✅ AI-powered code analysis and suggestions. ✅ Warnings about potential risks. ✅ A perfectly formatted, ready-to-use commit message. This project was my journey into automating a critical part of my workflow, powered by #Python and the Google #Gemini API, and distributed via #PyPI. Try it yourself! 🔧 Install: pip install py-cogit 📂 GitHub Repo + Docs: https://lnkd.in/dkbrGhWg As this is the first release, I'm really curious: How do you manage commit quality in your own projects, and do you think AI is the future for this kind of task? #OpenSource #DeveloperTools #AI #Git #Productivity

🚀 TypeScript Takes the Crown on GitHub according to Octoverse 2025 Report Big news for developers! According to GitHub’s latest Octoverse 2025 Report, TypeScript has officially overtaken JavaScript and Python as the most used programming language on GitHub. This marks a huge turning point in global software development, and the reasons behind it tell a powerful story about how AI is reshaping the way we code. 💡 Here’s what’s driving the shift: - AI-assisted coding is now mainstream : more than 80% of new GitHub developers use Copilot within their first week. - Over 430 million AI-related repositories have been created, showing how deeply AI is integrated into development. - Strongly typed languages like TypeScript are favored because they make AI-generated code more reliable and easier to debug. - Nearly every major frontend framework (React, Next.js, Angular, etc.) now defaults to TypeScript support. 📈 In just one year, developers merged 518 million pull requests, a 29% jump from last year by proving the developer ecosystem is not just growing, but accelerating faster than ever. GitHub describes this shift as “the beginning of the AI agent era” where developers don’t just write code with AI, but increasingly build code for AI. The future of programming isn’t about choosing between human or machine. It’s about how well we collaborate with AI to build safer, smarter, and more scalable systems. #Dailyproject #Onepointup #TypeScript #GitHub #Octoverse2025 #AIinCoding #DeveloperTrends #SoftwareDevelopment #CodingCommunity #ProgrammingLanguages #AIRevolution #TechInnovation #Microsoft #GitHubCopilot #FrontendDevelopment #AITrends #FutureOfCoding

Your VS Code setup is either saving you hours or slowing you down. Here’s a quick breakdown of 10 extensions that streamline your development workflow, reduce bugs, and make coding smoother. 𝐒𝐚𝐯𝐞 𝐭𝐡𝐢𝐬 𝐩𝐨𝐬𝐭 𝐚𝐧𝐝 𝐬𝐡𝐚𝐫𝐞 𝐢𝐭 𝐰𝐢𝐭𝐡 𝐲𝐨𝐮𝐫 𝐝𝐞𝐯 𝐜𝐢𝐫𝐜𝐥𝐞. 🔹 GitHub Copilot – Your AI pair programmer. Writes code suggestions in real time. 🔹 ESLint – Catches errors & enforces clean code standards instantly. 🔹 Prettier – Auto-formats your code for consistent, readable styling. 🔹 GitLens – See who wrote what, when, and why—supercharged Git history. 🔹 Auto Rename Tag – Change one HTML tag? Its pair updates automatically. 🔹 Live Server – Real-time preview of your app as you code—no refresh needed. 🔹 Import Cost – Shows the size of your imported packages. Optimize easily. 🔹 Docker – Run containers and manage Docker images without leaving VS Code. 🔹 Tabnine – Another AI assistant, trained to match your style. Fast and intuitive. 🔹 Cline – A minimal terminal inside VS Code. Run commands faster, cleaner. 𝐁𝐨𝐧𝐮𝐬 𝐓𝐨𝐨𝐥: CodeSnap – Share beautiful code snippets as images. Great for documentation, LinkedIn posts, or portfolio shots. 𝐖𝐡𝐢𝐜𝐡 𝐨𝐟 𝐭𝐡𝐞𝐬𝐞 𝐝𝐨 𝐲𝐨𝐮 𝐮𝐬𝐞 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭? 𝐀𝐧𝐝 𝐰𝐡𝐢𝐜𝐡 𝐨𝐧𝐞’𝐬 𝐧𝐞𝐰 𝐭𝐨 𝐲𝐨𝐮? 𝐋𝐞𝐭 𝐮𝐬 𝐤𝐧𝐨𝐰 𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐦𝐦𝐞𝐧𝐭𝐬👇 #vscode #developerlife #codertools #frontenddeveloper #backenddeveloper #aiintech #vscodeextensions #githubcopilot #webdevtips #productivitytools #delaine #delainetech #codinglife