How to Organize GitHub Issues and Projects with a Mind Map

💡 GitHub Copilot - Output logs As you know, AI has become our best ally during this recent year. Copilot can do many things for you, saving you hours while writing millions of lines of code, while you're chatting casually with colleagues over coffee. But one of the best values I've found with these tools is their ability to help us learn and understand issues, allowing us to apply the right solutions. GitHub Copilot through VS allows us to add the output log to its context, enabling it to explain what happens and help us solve issues efficiently. How do you leverage Github Copilot? #microsoft #visualstudio #github #copilot #productivity

🚀 Generali boosts developer velocity with GitHub Copilot ✨ How do you drive innovation at scale across 50 countries and 70 million customers? For Generali, one of the world’s largest insurance and asset management groups, the answer lies in empowering developers with the right tools. By adopting our GitHub Copilot, Generali has accelerated developer productivity, increased software delivery speed, and improved code efficiency - without changing how developers work. With over 2,000 developers now using Copilot across Italy, Germany, and France, the results speak for themselves: smoother workflows, faster coding, and a mindset shift that makes Copilot indispensable. What made it work? A shared vision, strong collaboration, and the ability to test and scale quickly. This is just the beginning of Generali’s AI-powered developer journey - and a great example of how AI can truly enhance human potential in software development. 🔗 Read the full story: https://msft.it/6048soyRC

🚀 Just published a new demo: assigning GitHub Copilot to an issue and walking through the end-to-end developer experience! In this video, I explore: 🔎 Evaluating open issues and choosing one to assign 🤖 How Copilot operates inside its session (with a quick dive into MCP servers, thought process, and auditing logs) 📝 Creating a [WIP] draft PR that targets the fix 👀 Why we require two sets of human eyes for approval 🔄 Iterating on the PR with suggestions, refinements, and collaboration This demo highlights how Copilot isn’t just about autocomplete — it can become an active collaborator in the repo, driving issues forward while still keeping humans in control. Would love to hear your thoughts on how you’re using Copilot in your workflow! #GitHub #GitHubCopilot #AI #DevTools #OpenSource #Collaboration #DeveloperExperience #MCP #PullRequest #CodeReview

✨ GitHub Copilot in Action – From Speed to Smarter Coding ✨ In my last post, I spoke about why Microsoft GitHub Copilot 🚀 is a game-changer. Now, let’s go one step further—how it actually helps in daily coding and where you can learn more. 🔎 3 Real-World Scenarios Where Copilot Shines 1️⃣ Boilerplate Code Generation Tired of writing repetitive setup code? Copilot drafts it instantly, so you can focus on real problem-solving instead of re-typing templates. 2️⃣ Unit Test Creation Tests are vital but often skipped because of time. Copilot provides ready-to-tweak test cases—helping teams improve coverage without extra effort. 3️⃣ API & SDK Integration Instead of searching docs endlessly, Copilot suggests working code snippets for APIs or libraries right inside the IDE. Think of it as a smart coding GPS. 📌 Why this matters? It’s not just about “faster code.” It’s about freeing developers to design better architectures, solve complex problems, and innovate—while Copilot handles the repetitive parts. 🌐 Want to explore more? Here are some great resources: • https://lnkd.in/dbk5h9JM • https://lnkd.in/dkvCcvyH • https://lnkd.in/dt92ZcD6 👉 I’d love to hear: If you’re using Copilot, which scenario resonates most with your workflow—boilerplate, tests, or integrations? And if you haven’t tried it yet—what’s stopping you? #GitHubCopilot #AI #DeveloperTools #LTIMindtree #Innovation #LearningInPublic

🚀 Unlock AI-Assisted Development in Business Central with GitHub Copilot I’ve launched a YouTube playlist that takes you from beginner to pro in using GitHub Copilot for Business Central development. Whether you’re just starting or looking to speed up your coding with prompt engineering, AI agents, and VS Code integration, this series is designed to give you hands-on learning with real-world exercises. 🎥 Playlist Modules include: 1️⃣ Introduction to GitHub Copilot + setup in VS Code 2️⃣ Setting up Business Central development environment 3️⃣ Defining the Domain (Tables, Pages, Queries, Codeunits) 4️⃣ Creating BC Tables using Copilot prompts 5️⃣ Creating BC Pages + Debugging tips ⚡ Bonus: Build your entire BC Project in 10 minutes with an AI Agent 🔗 Watch the full playlist here: https://lnkd.in/gVkDjrZy This is perfect for: 👉 Business Central developers exploring GitHub Copilot 👉Functional consultants transitioning into technical 👉AI enthusiasts curious about Copilot in ERP solutions 🌟 Follow Dr. S. Gomathi for more tutorials on Business Central, Power BI, AI, and Copilot Studio. #GitHubCopilot #BusinessCentral #MicrosoftDynamics365 #AIDevelopment #PromptEngineering #VSCode #MicrosoftMVP #PowerPlatform #AIinERP

Recently I discovered this: Awesome GitHub Copilot Customizations repo. This project can bring real value to AI-assisted coding with Copilot by leveraging instructions, prompts, and custom chat modes. Introduce code standards and boost coding efficiency from the project start. Instructions → add a repo-level file so Copilot follows your build/test steps and coding conventions.  Prompts → keep reusable prompts files for common tasks (tests, docs, refactors) so teams don’t repeat themselves. You can specify model tools! Custom chat modes → tailor Copilot Chat for your specific tasks (Ask / Edit / Agent—or your own modes). Start here: https://lnkd.in/dbJm79TG #GitHub #Copilot #AIEngineering #DevEx #Productivity #SoftwareEngineering #AIAssistedDevelopment

🚀 Fabric Monday 53: Branch Out Best Practices This video a must-see if you’re working with collaborative development in Microsoft Fabric. The Branch out feature makes it simple to coordinate a Fabric workspace with a corresponding source control branch. That means you can: ✅ Spin up isolated environments safely ✅ Align workspace changes with Git workflows ✅ Apply tried-and-true feature branch techniques directly in Fabric This bridges the gap between data development and established software engineering practices—making collaboration smoother, safer, and much easier to manage. If you’ve been waiting for a way to bring the power of Git branching strategies into Fabric projects without the headache, this feature (and the best practices shared in the video) is the way forward. 👉 Highly recommend giving it a watch if you’re aiming to scale your Fabric development process. #microsoftfabric #dataplatform #sourcecontrol #powerbi #cicd

💡 Embracing AI in Software Development with GitHub Copilot As part of our continuous effort to improve development efficiency and software quality, our team has adopted GitHub Copilot. 🔹 Increased productivity – Automates boilerplate code and repetitive tasks, allowing developers to focus on solving complex problems. 🔹 Improved code quality – Provides intelligent suggestions that align with best practices and reduce common coding errors. 🔹 Faster onboarding & learning – Helps developers quickly adapt to new frameworks, languages, and libraries. 🔹 Enhanced collaboration – Minimizes blockers and enables teams to dedicate more time to innovation and value creation. GitHub Copilot is not a replacement for developers—it is a powerful assistant that enables us to code smarter, faster, and with greater impact. 📖 Learn more: https://lnkd.in/g8FnTRYj

🚀 Old agent demos are fun… but they don’t scale. DecodingML(Paul Iusztin) just dropped Lesson 2 of their free open-source course: Designing Enterprise MCP Systems. This time, it’s about how to build like a real engineer. Here’s what they cover: ✅ A PR Reviewer Assistant that connects GitHub → Asana → Slack with clean MCP orchestration. ✅ How to split workflows into host, client, and servers so your automations stay modular. ✅ Using a Global MCP Server to unify tools—swap or add integrations without breaking your host logic. ✅ Building custom servers for Slack + Asana, with prompts versioned and observable via Opik. ✅ End-to-end flow: PR opens → Gemini plans tool calls → review summary lands in Slack. Most agent tutorials stop at “hello world.” This lesson shows how to architect production-ready developer automations that actually survive in enterprise. 👉 Read Lesson 2 here: https://lnkd.in/e9XgBP2U

#Day2 of virtual #AgenticAIConference gave solid insights into #multiagent orchestration, task decomposition, and clean handoffs. New learnings that stood out to me: - Orchestration in practice: workshops showed retrieval‑led agents and event‑driven handoffs using #Weaviate/#Pinecone for grounding and GitHub webhooks for triggers.  - Enterprise guardrails: MCP as the standard for compliant, auditable tool access and context sharing across agents.  - Build–measure–improve: observability and iteration with #Arize to trace plans, tool calls, and memory, then tighten feedback loops.