Pawel Kucia’s Post

Okay, this is pretty cool! GitHub Copilot's new inline agent mode for JetBrains IDEs is now in preview. It's exciting to see these tools evolving to integrate more deeply into our dev workflows, beyond just suggestions. Makes tackling complex tasks feel more collaborative. A definite productivity boost! ✨ #GitHubCopilot #DevTools

🚀 How is your team actually using GitHub Copilot? In many organizations, Copilot gets rolled out and the conversation quickly narrows to a single number in the dashboard: adoption. But one number does not tell the full story. It does not show how usage changes over time, where engagement is strongest, which models people prefer, or how usage differs across languages, IDEs, and teams. We felt that gap ourselves, so we built something to close it - and decided to open-source it. ✨ Introducing GitHub Copilot Insights A tool built to help engineering leaders and teams get a clearer view of Copilot usage with: 📈 Adoption trends 🔥 Engagement heatmaps 🤖 Model usage insights 💻 Language and IDE matrices 📅 Day-of-week usage patterns 🔍 And more The link is in the first comment. You can download your Copilot usage data from GitHub, upload it, and start exploring right away. For more advanced use cases, you can also run it locally - including pulling data directly from the GitHub Enterprise API and even chatting with your data using Gemini. 🆓 Free 🛠️ MIT-licensed 💙 Built to give back to the community Huge thanks to Amit Rokach, who co-developed GitHub Copilot Insights with me and was a true partner throughout this journey. We would love feedback, suggestions, and ideas from others working with Copilot at scale. And of course, PRs are always welcome - whether for fixes, improvements, or new features. GitHub #GitHubCopilot #OpenSource #EngineeringLeadership #DevTools

Get the most out of GitHub for your projects Discover how to streamline your project lifecycle, from start to release and beyond Read the full article 👉 https://lnkd.in/dS9KuRav #GitHub #ManageProjectLifecycle #CloudArchitect #ProjectManagement Code. Learn. Build. — TechLab by Neeraj

Most teams still copy code into Confluence manually. And then wonder why documentation gets outdated so quickly. With our latest update, you can now also integrate content from GitHub Enterprise directly into Confluence. No duplication. No context switching. Just up-to-date documentation where your team already works. #github #confluence

🤖 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

Queueing prompts in Cowork and GitHub Copilot may look like a small feature, but it noticed it has already had a major impact on my own work mode: From synchronous prompting -> asynchronous agent orchestration Until now, interacting with agents often meant for me: - waiting for completion before sending the next prompt - thus lots of context switching - ideas getting lost mid-process With queueing (in GitHub Copilot Agent Mode and Copilot Cowork), I notice a clear shift in my own workflow: - I can decouple thinking from the actual agentic execution - I externalize my backlog directly into the agent without having to wait - I move from “one task at a time” to managing parallel intent In practice: - I define the next steps while the agent is still running - I let the agent pull work instead of constantly pushing prompts - I stay in a planning mindset instead of monitoring execution This feels less like using a tool and more like coordinating work. - Agents are no longer just reactive assistants. - They start behaving like systems with backlog, state, and flow control. - I believe especially the task backlog will become increasingly important and a new field for innovation So in summary: Queueing is a step toward: - more persistent and autonomous agents - continuous execution - agent-driven prioritization Or simply: less context switching #CopilotCowork #GitHubCopilot

Most developers use GitHub Copilot… but only scratch the surface. Not because Copilot is limited — but because we treat it like autocomplete. Copilot is not just a tool. It’s a developer that needs onboarding. Once you understand when to use: -> Prompts -> Agents -> Instructions -> Skills -> Hooks Everything changes. You stop “asking”… and start guiding. That’s when Copilot becomes actually powerful. I’ve simplified it into a quick visual you can use 👇 👉 Save this for later 👉 Share it with your team 👉 Which one are you using today? #GitHubCopilot #AIforDevelopers #SoftwareEngineering #Productivity #Copilot

Creating and managing technical documentation is much easier with tools like GitHub. It allows teams to: • Track changes with version control • Collaborate efficiently • Keep documentation organized and up to date • Align documentation with ongoing work Using Markdown also makes writing clean, simple, and easy to maintain. Documentation is no longer static—it evolves with the project. #Documentation #GitHub #Collaboration #Productivity #TechTools

Most teams manage work like this 👇 GitHub for code Project tool for tasks Slack for discussion And then… chaos. We built something in RestMic to fix this. 👉 GitHub integration that actually makes sense. Now you can: • See pull requests inside tickets • Review code without leaving your task • Comment line-by-line • Track commits linked to work • Approve or request changes • Assign reviewers No more switching between 4 tools just to understand one task. Everything is in one place. The best part? You don’t need to change your workflow — just connect GitHub and it works. We wrote a simple guide if you want to try it 👇 https://lnkd.in/gKscQ29m If you're building with a team, this will save you a lot of time. Let me know what you think 👇

💡 What if one session could completely change how you see GitHub? Recently, I attended a GitHub Masterclass that turned out to be a game-changer for me 🚀 From understanding the real power of version control to exploring how collaboration actually happens in real-world projects, this session gave me clarity I didn’t even know I was missing. ✨ Key takeaways from the session: ✔ Learned how to manage repositories more efficiently ✔ Understood branching and merging in a practical way ✔ Got insights into real-world collaboration using GitHub ✔ Discovered tips that can actually boost my productivity as a developer Big shoutout to Event Dev X and Harshavardhan Bajoria for organizing such a valuable session and making complex concepts feel simple and actionable 🙌 This was not just a learning session, but a step forward in my developer journey 💻🔥 Excited to implement everything I learned! #GitHub #LearningJourney #DeveloperLife #VersionControl #TechGrowth #EventDevX