GitHub Copilot Boosts Developer Productivity by 60-80%

Writing code just got 10x faster with an AI pair programmer that actually understands your project. GitHub Copilot analyzes your existing codebase and suggests entire functions, not just snippets. It writes unit tests, explains complex algorithms, and even converts comments into working code. Developers report cutting development time in half while learning new frameworks through Copilot's contextual suggestions. Unlike basic autocomplete, Copilot understands your project's patterns and coding style. It's trained on billions of lines of public code but adapts to your specific needs in real-time. Discover GitHub Copilot and 200+ other development tools at app.rich-in-tech.com #GitHubCopilot #AIcoding #DeveloperTools #Programming #AItools

🚀 GitHub Copilot Dev Days is coming to Rochester! 🚀 Join us in person for GitHub Copilot Dev Days, a global developer series focused on hands-on, real‑world AI‑assisted coding. This highly popular event is stopping at ComTec Solutions for one night only—and space is limited with RSVP required. Whether you’re already using GitHub Copilot or just getting started, this session is designed to help you: ✅ Write code faster and with more confidence ✅ Learn practical Copilot workflows you can use immediately ✅ See real-world demos and best practices from the field If you’re a developer, architect, or technical leader curious about how AI can meaningfully improve day-to-day coding, you won’t want to miss this. 📍 Rochester, NY 🗓️ One night only, Thursday, April 23, 2026. 🎟️ Limited seats — register early! https://lnkd.in/dFdW9a2A #GitHubCopilot #DevDays #AICoding #Developers #GitHub #RochesterNY #SoftwareDevelopment #AI

You open GitHub Copilot and it feels… different. The comments it’s suggesting sound more like your team. The code hints are oddly specific to how *you* build things. GitHub just rolled out a new “logical” feedback loop for Copilot. In plain English: when you thumbs-up/down a suggestion, it doesn’t just adjust a probability. It updates an actual chain of reasoning behind the scenes. Over time, Copilot builds a private, user-specific “mental model” of how you like to solve problems — without exposing that to anyone else. This isn’t just autocomplete getting better. It’s your AI pair programmer quietly learning your style, your stack, your patterns. Fewer “lol no” suggestions. More “yep, that’s exactly what I was about to type.” For teams, it hints at something bigger: AI tools that adapt to *your* conventions and architecture, instead of forcing you into some generic “best practice” mold. Honestly, this is where AI gets interesting: not as a magic black box, but as something that can remember context, adjust its reasoning, and still keep privacy boundaries. Feels a lot closer to a real junior dev sitting next to you. If your tools could deeply adapt to your coding style, what’s the *one* thing you’d want them to learn first? #githubcopilot #developers #aiassistant #softwareengineering

I went back 20 years in time to build the future. One day of training with GitHub Copilot took me right back to my coding roots from two decades ago. It’s incredible how much the landscape has shifted. Today, you don’t need to be a master of a specific syntax or framework. If your core logic is intact and you know the "why" behind your app, tools like GitHub Copilot and Lovable (vibe coding) turn ideas into reality in record time. I’ve even seen a procurement VP build intelligent software with AI agents—proving that age and background are no longer barriers to innovation. For years, I had an idea that stayed on the shelf because finding the time and resources felt impossible. Over the last month, spending just 2 hours a day with my "AI pair programmer," I finally brought it to life. Introducing: www.kitaabey.com — A Peer-to-Peer Book Exchange Community. My personal give back to the community. In an era where we often don’t know our neighbors, we have no idea what treasures are sitting on their bookshelves. Instead of these books ending up with a scrap dealer, Kitaabey gives them a second life. Why use Kitaabey? Sustainability First: Every exchanged book saves trees, thousands of liters of water, and reduces the carbon footprint of printing and transport. Privacy-Centric: No financial details required. You only need a working email to get started. AI-Enhanced: Built using Gemini AI capabilities to automate tedious tasks and simplify the user experience. Fully Responsive: Works seamlessly across Desktop, Tablet, and Mobile. Zero Cost: A platform for the community, by the community, without spending a penny. If you believe in the power of stories and the importance of sustainability, I’d love for you to explore what we’ve built. Check out how it works here: 👉 https://lnkd.in/ggwptdgb Ready to list your first book? Log in and join the community at: 🌐 www.kitaabey.com #VibeCoding #GitHubCopilot #AI #Sustainability #CircularEconomy #BookLovers #BuildingInPublic #Kitaabey

🚀 Day 8/15 — GitHub Copilot For anyone learning programming or working on development tasks, writing code can sometimes take time, especially when we are trying to remember syntax, structure, or the best way to solve a problem. That is where GitHub Copilot becomes very helpful. GitHub Copilot is an AI-powered coding assistant that helps developers by suggesting code, completing functions, generating boilerplate, and speeding up the development process. It supports coding in a more efficient way and can be very useful for learning, experimenting, and building projects faster. As someone who is continuously learning in AI, data, and technology, I see GitHub Copilot as a valuable tool because it not only saves time but also helps understand how code can be written in a cleaner and more structured way. My takeaway: GitHub Copilot is not just a code suggestion tool — it is a smart coding assistant that can improve productivity, support learning, and make development faster. This challenge is helping me discover how AI tools are adding value across different areas, from writing and design to coding and problem-solving. #Day8 #15DaysChallenge #AITools #GitHubCopilot #LearningJourney #Technology

GitHub Copilot has fundamentally transformed — and most developers haven't fully grasped the implications yet. Edit Mode in VS Code is gone. Completely removed. In its place: Agent, Ask, and Plan modes. This isn't a minor update. It's a strategic repositioning. GitHub Copilot is no longer an autocomplete feature. It's now an Agentic platform — an autonomous AI that can work independently in the background, open pull requests, fix bugs, update documentation, and complete coding tasks with minimal human intervention. The shift is so significant that VS Code has moved from monthly to weekly releases (starting with v1.111) just to keep pace with Agentic AI development. That's 52 releases per year, up from 12. What this means for engineering leaders: → Rethink how your teams collaborate with AI — from "pair programming" to "peer programming" → Consider how autonomous agents fit into your CI/CD and code review workflows → Prepare for a future where AI handles routine maintenance while developers focus on strategic work We're witnessing unprecedented velocity in developer tooling innovation. The teams that adapt fastest will have a significant competitive advantage. Are you following VS Code's weekly updates? The pace of change demands it. 🔗 More on GitHub Copilot coding agent: https://lnkd.in/e2vs4QgY #AgenticAI #DeveloperProductivity #SoftwareEngineering

GitHub Copilot makes you a faster engineer. Devin tries to be one. That's the sharpest way to describe the difference. Copilot lives in your IDE and suggests the next line. Devin gets a task, opens a shell, writes code, runs tests, reads errors, searches docs, and opens a pull request -- without you touching a keyboard in between. Cognition Labs launched Devin in March 2024 with a demo that went viral. A team of 10 people, 10 IOI gold medals between them, building what they called the "first AI software engineer." The benchmark number that circulated: Devin resolved 13.86% of real GitHub issues on SWE-Bench unassisted. The previous best was 1.96%. That's not a marginal improvement. That's a category shift. What does this mean practically? You can hand Devin a scoped ticket -- "add pagination to this endpoint with tests" -- and come back to a PR. The feedback loop runs inside Devin's environment, not through you. It's not magic. It struggles with ambiguous requirements, novel architectures, and anything requiring product judgment. And you should absolutely review what it produces. But the workflow shift is real: from writing code to reviewing code. Day 1 of my #45DayDevinChallenge. Starting with the fundamentals before going deep on prompting, Playbooks, integrations, and the parts that actually matter in production. Refer in detail Medium post on the topic : https://lnkd.in/gJm2ddrB What's your experience with autonomous agents vs. copilot-style tools -- and which has actually changed how you work? #DevinAI #SoftwareEngineering #AIAgents

It's been a while since I've shared here. Been busy on building agents of course, like everyone today 😊 On that journey, I was annoyed on unpratical workflows to share my custom agents, prompts, skills and so on and so forth. Within my GitHub Copilot repos but not only. When you work with Claude Code, GitHub Copilot and other AI-assisted coding platforms, it's a big pain to manage (not only share) your ecosystem of artifacts that supercharge yourself. As such I've created "Awesome Coding Assistants" VS Code extension, that allows you to manage these. Totally OpenSource of course, and that you can link to your own repositories of artifacts. For enterprise, you can connect to both internal and external repositories. Links on the comments, have fun, stay hungry and go breaks some eggs ! #vscode #github #copilot #ai #coding #ai_assisted_coding Gaëtan H. Tim Guibert Tugdual Grall > that's the extension I was using yesterday 😉

🔥🚀 AI CHEAT CODE #032 🔥🚀 💡 GitHub Copilot just went AGENTIC for code reviews — and most devs have NO IDEA how to use it yet! 🤯 GitHub's new agentic code review is NOW generally available — and it's a total game-changer for PRs! 🎯 ⚡ Here's how to unlock it RIGHT NOW: 🔍 Step 1: Open any Pull Request on GitHub 👥 Step 2: Click the "Reviewers" dropdown on your PR 🤖 Step 3: Select "Copilot" as a reviewer — that's it! ⏱️ Step 4: Wait ~30 seconds while Copilot reads your ENTIRE repo, traces cross-file dependencies, and builds architectural context 💬 Step 5: Get inline comments that understand the BIG PICTURE — not just the diff! 🆚 What's ACTUALLY different now? ❌ OLD Copilot review: Only looked at changed files ✅ NEW Agentic review: Reads directory structure, traces dependencies across files, understands full architecture before commenting! 💻 BONUS CLI Cheat Code: Run this from your terminal 👇 gh pr review --request-review copilot Or just type /review in any PR comment! 🪄 🎯 Pro Tips: 💎 Agentic reviews catch multi-file bugs the old review MISSED 📊 Already 60 MILLION+ reviews done — growing 10x since launch! 🏢 Works on: Copilot Pro, Pro+, Business & Enterprise ⚙️ Runs on GitHub Actions (one-time setup if you opted out of hosted runners) This is what AI-assisted development looks like in 2026 — not just autocomplete, but an intelligent agent that UNDERSTANDS your codebase! 🧠🔥 💬 Have you tried the new agentic Copilot code review yet? Drop a 🔥 if this changed your PR game! Save this post for your next code review! ⬇️ #AI #GitHub #GitHubCopilot #CodeReview #DevOps #Coding #Programming #SoftwareEngineering #TechNews #Automation #MachineLearning #ArtificialIntelligence #WebDevelopment #OpenSource #TechTrends #Developer #AgenticAI #ProductivityHacks #Innovation #CloudComputing

📌 Are We Misusing GitHub Copilot? A Practical Observation Today’s post is based on something I’ve been noticing while working with teams. With tools like GitHub Copilot (Agent Mode), writing code has become much faster. But there’s a growing concern. 🤯 What I’m Seeing Some developers are: - Asking Copilot to make changes - Accepting everything blindly - Committing the code - Raising PRs without understanding the changes The code may work… But that’s not the whole story. ⚠️ The Real Risk Working code ≠ Good code Sometimes Copilot may: - Modify core/shared classes unintentionally - Introduce subtle design issues - Break existing behavior in edge cases - Add unnecessary complexity And if you don’t review it, you won’t even realize it. 🧠 What Should We Do Instead? Copilot is a tool, not a replacement for thinking. After using it: - ✅ Review every change - ✅ Understand why the change was made - ✅ Check impact on common/shared modules - ✅ Think about long-term maintainability 🎯 Why This Matters As developers, our responsibility is not just to: 👉 Make the code work But to: 👉 Make the code correct, maintainable, and scalable Follow for more real-world engineering insights, Java, and system design concepts. Feel free to drop me a message if you'd like to discuss any topic. #SoftwareEngineering #AI #GitHubCopilot #Coding #TechCareers #DeveloperLife