GitHub Copilot Inline Agent Mode for JetBrains IDEs in Preview

GitHub Copilot CLI Now Generally Available for Developers 📌 GitHub Copilot CLI is now generally available, bringing AI-powered code assistance directly to your terminal-no IDE needed. Devs can run complex tasks, explore codebases, and automate workflows with just a few commands. Say goodbye to context-switching and hello to smarter, faster shell operations. 🔗 Read more: https://lnkd.in/dr4rTZQ7 #Githubcopilotcli #Terminalai #Devopstools #Generativeai

GitHub Copilot is no longer a nice-to-have for developers. It is becoming partof the way modern organisations build. I have seen too much developer time disappear into repetitive tasks, contextswitching and rewriting patterns that are already familiar. That is exactly why I wrote this piece. GitHub Copilot is not just about faster code. It helps reduce mental load sodevelopers can focus on solving real business problems instead of repeatingthe same steps over and over again. If your organisation is building in Business Central and your teams are stilldoing everything the hard way, now is the right time to rethink that approach. Read the blog here: https://bit.ly/4seJfkS Reach out to me: 📩 channel@4sight.cloud #4SightInsights #GitHubCopilot #BusinessCentral #ALDevelopment#DeveloperProductivity #AIForBusiness

I've compiled a practical overview of 20 powerful yet underutilized GitHub Copilot CLI commands and features that can transform Copilot from a helpful assistant into a highly capable autonomous coding agent. This overview covers: - Efficient session management - Non-interactive execution - Advanced model switching - Tool permissions - Persistent custom instructions - Intelligent code reviews - GitHub integration - Parallel agent workflows These techniques can significantly boost development speed and consistency. #GitHubCopilot #AICoding #DeveloperProductivity #SoftwareEngineering #CLI #Microsoft

I've been experimenting with GitHub Copilot in a way that I think most developers haven't tried yet — and I wanted to share the workflow I've landed on. Start in the Repository. When you're building something new, go straight to your GitHub repository and describe what you want Copilot to build. From a completely empty repo. No existing code, no setup, nothing. Just tell it what you want and let it go to work. I did exactly that — brand new repository, described my app, and walked away. It scaffolded the entire thing and opened a PR for my review. Then use Issues to refine. Once you have a foundation in place, that's when GitHub Issues becomes powerful. Open an issue, type @copilot, and describe what you want changed, added, or fixed. It reads your existing code and makes targeted changes in context. So the mental model I'd suggest: New project? Start in the repository and let Copilot build the foundation Existing project? Use Issues to extend, refine, or correct Think of it like handing an architect an empty lot versus asking a contractor to renovate what's already there. Two different jobs, two different starting points. Most people are still using Copilot just for autocomplete. The real power is in delegating entire workstreams. #GitHub #GitHubCopilot #AIEngineering #DeveloperProductivity #SoftwareDevelopment #CodingSmarter #AI #DevTools #Microsoft

GitHub advances its Copilot usage metrics by including per-user CLI activity within organization reports. This granular level of detail allows organization admins to monitor individual user activity more effectively, fostering improved collaboration and accountability across teams. Understanding how developers engage with Copilot at the CLI level helps in optimizing workflows and resource allocation. #GitHub #Copilot #DeveloperTools #Metrics #TeamManagement 👩💻👨💻📊 ⬇️ https://lnkd.in/dTBf3nki

Pushing code is easy… Making sure it works every time is hard 😅 That’s where GitHub Actions comes in. It lets you automate your workflow: • Build your code • Run tests • Deploy automatically All triggered by events like push or PR 🚀 Read more here: https://lnkd.in/gmUXX5MM - By Octopus Deploy

Today I had a very bad experience with 𝐆𝐢𝐭𝐇𝐮𝐛 𝐂𝐨𝐩𝐢𝐥𝐨𝐭 𝐏𝐫𝐨+ during active development. I hit a message saying: “𝐒𝐨𝐫𝐫𝐲, 𝐲𝐨𝐮'𝐯𝐞 𝐞𝐱𝐜𝐞𝐞𝐝𝐞𝐝 𝐲𝐨𝐮𝐫 𝐰𝐞𝐞𝐤𝐥𝐲 𝐫𝐚𝐭𝐞 𝐥𝐢𝐦𝐢𝐭. Try again in 3 days.” 😁 The issue is, I still have 500+ premium requests remaining, but they are blocked due to a separate weekly cap. From a developer experience point of view, this is frustrating and unpredictable. Usage limits should ideally be aligned with available requests, not hidden weekly throttling. It broke my workflow momentum at a critical point in development. Just sharing a real-world experience from today. #github #copilot #claude

🤖 What if your GitHub repo could manage itself—and think like a team? Join GitHub: From Workflows to Orchestration, a two‑part live series that goes hands‑on with GitHub’s agentic capabilities—from self‑improving workflows to orchestrated agents that plan, delegate, and execute together. Across two live sessions, you’ll see: - Agentic workflows that automate issues, CI, docs, and tests - Orchestrated agents working as a coordinated system - Real demos, real code, and patterns you can use the same day No complex setup. No black boxes. Just practical, production‑ready agent patterns for modern GitHub repos. 🎤 Featuring Ari LiVigni, Senior Learning Advocate at GitHub 🎥 Live on May 7th and 14th at 9 AM PT. Available on-demand any time after wrap 👉 Register for the series: https://msft.it/6042QxsNe #MicrosoftReactor #learnconnectbuild #GitHubCopilot #AgenticWorkflows #AgentOrchestration #GHCP #Fleet

How to use GitHub Copilot better than 99% of people Most developers accept the first suggestion and move on. Meanwhile, the top 1% are using Agent Mode, assigning issues to Copilot, and connecting external tools via MCP. I built a 12-tip visual carousel to close that gap. ━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗵𝗮𝘁'𝘀 𝗶𝗻𝘀𝗶𝗱𝗲: 𝟭. Switch to Agent Mode 𝟮. Assign GitHub Issues directly to Copilot 𝟯. Add custom instructions to your repo 𝟰. Pick the right model for the task 𝟱. Create reusable prompt files 𝟲. Connect tools via MCP 𝟳. Use Copilot CLI in your terminal 𝟴. Master @workspace, @terminal, and slash commands 𝟵. Automate PR reviews with Copilot 𝟭𝟬. Build agent skills and extensions 𝟭𝟭. Configure org-level governance 𝟭𝟮. Treat your repo as Copilot's brain ━━━━━━━━━━━━━━━━━━━━━━ Every tip has real examples, terminal mockups, code snippets, and links to official GitHub Docs. No fluff. No "just use better prompts" advice. This is the reference I wish I had when I started. 📥 Save this for your next sprint. ♻️ Repost if your team needs this. #GitHubCopilot #AI #DeveloperProductivity #CopilotTips #GitHub #SoftwareEngineering #DevTools

If you are new to the GitHub Copilot CLI, this video is for you! I know the terminal can feel like a learning curve (it was for me), but adding Copilot changes everything. You no longer need to memorize complex syntax—you just ask for what you want in plain English, and it does not even need to be spelled correctly! In my newest tutorial, I strip away the complexity and focus purely on getting you up and running from scratch. Here is exactly what we cover to get you started: 🔹 What the Copilot CLI actually is (and how it differs from regular Copilot Chat) 🔹 A painless, step-by-step installation guide using PowerShell 🔹 How to seamlessly integrate it right into your VS Code terminal 🔹 The core commands you need to start navigating and executing tasks with AI 🔹 Create and use your first Agent for a .NET code migration Once we have the basics down, I even give you a sneak peek into some advanced features—like Custom Agents and YOLO mode—so you can see what's possible once you get comfortable. Ready to stop treating your terminal like a typewriter and let AI do the heavy lifting? Watch the complete beginner-friendly guide here: https://lnkd.in/gkkFumqs #GitHubCopilot #GitHubCopilotCLI #CopilotCLI #VSCode #LogicAppsAviators