GitHub Copilot CLI: A Terminal-Based Code Assistant

I just read the blog post on “The road to better completions: Building a faster, smarter GitHub Copilot with a new custom model” and here are some of my take-aways. #SystemDesign #AgenticAi #GithubCopilot #AIEngineering

👨💻 Just published a full walkthrough of the new GitHub Copilot Code Review Agent (2025 update). From custom .instructions.md files to CLI workflows and hybrid review logic, it’s built to make code reviews faster and smarter—right from your editor or terminal. If you're working in VS Code or GitHub regularly, this update is worth checking out. ▶️ Watch here: https://lnkd.in/gfJ2sBng #GitHubCopilot #CodeReview #DeveloperExperience #VSCode #DevTools #TheCuriousDev #AIForDevelopers

GitHub Copilot tip to increase your unit test coverage Use this prompt in Copilot Agent mode: - Create unit tests for `<class_name>` in project `<project_name>` under namespace `<namespace>`. - Create a test fixture named <test_fixture_name>. - Mock calls to <dependency>. Steps: 1. Create the test fixture file with SetUp. 2. Analyze the implementation. Make a test list of empty test methods for full coverage. 3. Implement each test method in sequence until all test gaps are closed. --- #dotnet #nunit #github #copilot #tip #agent

Lazy developer advice 🧠💤 Just discovered a super handy feature in GitHub Copilot inside JetBrains Rider. When you open the Commit window, there’s an option called “Generate Commit Message.” It automatically analyzes your code changes and writes a meaningful commit message for you. That’s one less thing to think about. 😎

🚀 From GitHub to live in seconds We’ve just launched Shuttle’s GitHub Integration - making it possible to deploy your #Rust applications directly from your browser. Here’s what’s new: ✅ Connect your GitHub repo to Shuttle ✅ Deploy instantly or automatically on push - no CLI required ✅ Launch from templates and go live in minutes Whether you’re testing platforms or managing complex pipelines, Shuttle now makes deployment as simple as commit → push → live. Built for builders who want less setup and more shipping. 💡 Deploy in minutes via a Shuttle Template, link in comments.

GitHub Copilot tutorial: How to build, test, review, and ship code faster (with real prompts) - The GitHub Blog https://lnkd.in/evwUHAq8

GitHub Copilot is changing low-code development by making it easier and faster. Read more 👉 https://lttr.ai/AkvRb #MakingSoftware #M365Show #AbnAmroBank #BalancingHumanExpertise #MicrosoftPowerPlatform #TeachesGoodHabits #ImprovesCustomerService #OffersSmartSolutions #ShowUniqueSolutions #WeeklyCodeCommits #m365show

Just read how GitHub Copilot has seriously leveled up! It's gone way beyond autocomplete with "mission control" and agent mode, becoming a full workflow assistant. Think automated tests, PR reviews, and multi-step refactors right in VS Code or CLI. This is a game-changer for dev speed. 🤯 #GitHubCopilot #DevTools

I'm probably late to the party, but I found a really useful tool when building GitHub action workflows called act. It lets you run your GH actions workflows locally, so instead of Make change → Git Commit → Git Push → Open Browser → Wait for Github to kick it off → See it fail after 2 minutes → Go back to start (You do not collect $200) You do: Make Change → Run Workflow locally → Still fail after 2 mins 😅 Link in the comments #DeveloperExperience

💡 Make GitHub Copilot Work With Your Team Using Prompt Files When working with GitHub Copilot in VS Code, you can create reusable prompt files that live right alongside your source code. 📦 These files can be stored in source control and executed anytime, making them perfect for tasks your team performs repeatedly. For example, my team uses a prompt file to: ✅ Add new properties across multiple layers of our API ✅ Generate consistent release notes for those properties Since creating it, we’ve used the same prompt file to add 20 new properties, saving time and keeping our output consistent across services. ⚙️ You can even define which AI mode and model Copilot uses when running the prompt, giving you predictable, repeatable results every time. If your team uses Copilot regularly, try building a few prompt files for your common workflows. It’s a small step that makes AI collaboration more structured, consistent, and team-friendly. 💬 Have you tried using prompt files with Copilot yet? I’d love to hear how your team’s using them. #GitHubCopilot #VSCode #AIinDevelopment #DeveloperProductivity #SoftwareEngineering #CodingTools