🥑 Aaron Powell’s Post

🆕 The Awesome GitHub Copilot project has a new home, designed for scale, learning, and community for developers like you. Head over to explore hundreds of community-built customizations: 🔍 Full-text search for agents and skills 📚 A dedicated Learning Hub ⚡ 1-click plugin installs for Copilot CLI & Visual Studio Code What will you build with Copilot? https://lnkd.in/g7kd94xz

Been exploring the new updates from GitHub around GitHub Copilot and its evolving ecosystem of AI-powered developer tools. Lately, I’ve been integrating these “agent-like” capabilities into my workflow—especially for speeding up development, improving code quality, and reducing repetitive tasks. It’s been a game changer when working on projects that require consistent iteration and experimentation. One area I’ve applied this is in a document classification project using ML.NET. Leveraging AI-assisted development has helped me focus more on problem-solving and model design rather than getting stuck in boilerplate or setup. Still early in the journey, but it’s exciting to see how these tools are reshaping the way we build and think about software. Curious to hear how others are using AI-assisted development in their workflows 👇 #AI #MachineLearning #GitHubCopilot #SoftwareEngineering #MLNet #DeveloperTools

Alima now integrates directly into VS Code via Copilot Chat | A clip from my Substack post, The integration of Ollama into Visual Studio Code via GitHub Copilot Chat . Watch it here: https://lnkd.in/dyi_XJsB

GitHub is playing “Keep Up,” not “Catch Up.” One thing I’ve always appreciated about GitHub is how quickly they adapt when the industry shifts. They don’t wait for trends to settle, they move with them, and they do it in a way that actually fits how developers work. The addition of Claude Sonnet 4.6 to GitHub Copilot is a great example. It’s not just about adding another model. It shows that GitHub understands what developers want right now: - Flexibility instead of being tied to one AI - Tools that evolve at the same pace as the models - A workflow where new capabilities feel natural, not tagged on A lot of platforms are still trying to catch up to last year’s changes. GitHub is already building for what’s coming next. I’m excited to see how this integration assists my development! #github #claudesonnet #copilot

With Figma's MCP server, you can now make changes directly to your files using GitHub Copilot CLI or Visual Studio Code. ✨ Try it out 👇

With Figma's MCP server, you can now make changes directly to your files using GitHub Copilot CLI or Visual Studio Code.

GitHub Copilot CLI + Figma MCP 🤩 Try it out today! 📄To get started with the Figma plugin… ➡️ With GitHub Copilot CLI: type /plugin marketplace browse awesome-copilot in a Copilot session ➡️ With Microsoft Visual Studio Code: type @ agentPlugins in the Extensions search view, or open the Command Palette and run Chat: Plugins 💡You can install any plugin with: copilot plugin install <plugin-name>@ awesome-copilot

That really improves time to market. The MCP server reduces token usage and provide functions to convert the design to code. It’s easy to get started with Figma's plugin and VS Code with Copilot #AI #Web #Copilot #MCP #Figma