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The latest on AI & ML - The GitHub Blog

How to build interactive experiences with canvases Better tools made Copilot code review worse. Here's how we actually improved it. Automating cross-repo documentation with GitHub Agentic Workflows How GitHub Copilot enables zero DNS configuration for GitHub Pages Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks I automated my job (and it made me a better leader) How we built an internal data analytics agent Getting more from each token: How Copilot improves context handling and model routing What are git worktrees, and why should I use them? GitHub Copilot CLI for Beginners: Overview of common slash commands Accelerating researchers and developers building multilingual AI with a new open dataset How we made GitHub Copilot CLI more selective about delegation Making secret scanning more trustworthy: Reducing false positives at scale Give GitHub Copilot CLI real code intelligence with language servers From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI GitHub recognized as a Leader in the Gartner® Magic Quadrant™ for Enterprise AI Coding Agents for the third year in a row Take your local GitHub sessions anywhere Building a general-purpose accessibility agent—and what we learned in the process Dungeons & Desktops: Building a procedurally generated roguelike with GitHub Copilot CLI Improving token efficiency in GitHub Agentic Workflows Agent pull requests are everywhere. Here’s how to review them. Validating agentic behavior when “correct” isn’t deterministic Register now for OpenClaw: After Hours @ GitHub GitHub Copilot CLI for Beginners: Interactive v. non-interactive mode
Building an emoji list generator with the GitHub Copilot CLI
Cassidy Williams · 2026-04-18 · via The latest on AI & ML - The GitHub Blog

Every week, the GitHub team runs a stream called Rubber Duck Thursdays, where we build projects live, cowork with our community, and answer questions!

This week, we built a very fun project together using the GitHub Copilot CLI! Let me tell you about it.

💡 New to GitHub Copilot CLI? Here’s how to get started.

What is it?

In a lot of social media tweets and launches, you often see accounts post things like:

We shipped the most amazing emoji list generator ever. It:

💻 Works in the CLI
🤖 Uses the Copilot SDK to intelligently convert your bullet points to relevent emoji
📋 Copies the result to the clipboard

It’s beautiful. But coming up with the perfect emoji is far too slow for me in this “move fast and break things” world. I have projects to build! Repos to vibe! Pull requests to merge! I can’t be thinking about emojis!

And thus, on the stream, we build an emoji list generator (very descriptively called Emoji List Generator) that:

🖥️ Runs in the terminal
📋 You paste or write a list
⌨️ You hit Ctrl + S
📎 You get the list on your clipboard

(Can you tell I’m dogfooding the product here?)

How we built it

We used a few cool technologies for this project:

🖥️ @opentui/corefor the terminal UI
🤖 @github/copilot-sdkfor the AI brain
📋 clipboardyfor clipboard access

To start the project off, we opened up the GitHub Copilot CLI.

In plan mode using Claude Sonnet 4.6, we wrote:

I want to create an AI-powered markdown emoji list generator. Where, in this CLI app, if I paste in or write in some bullet points, it will replace those bullet points with relevant emojis to the given point in that list, and copies it to my clipboard. I'd like it to use GitHub Copilot SDK for the AI juiciness.

Copilot asked me a bunch of clarifying questions, for example around the tech stack and what libraries we should use (shoutout to Gabor in the chat for suggesting OpenTUI), and from there, we had a fully thought-out plan.mdfile for me to review and use!

We implemented the plan using Claude Opus 4.7 (which was recently released!) and a few minutes later, voilà, we had a fun little terminal UI to work with!

Screenshot of the 'Emoji List Generator.' Paste or type your bullet points below. Press CTRL + S to generate, CTRL + C to quit.

Your bullet points
- Is there a ghost here?
- Ducks quack a lot
- I would like to have a word with the moon
- Mechanical keyboards are cool
- We just launched a sick new feature
- I'd like to squish some slime

Followed by the same list, with appropriate emojis.

The project was small but mighty. In the CLI, we used some really cool tools all together:

📋 Plan mode
🤖 Autopilot mode
🔀 Multi-model workflow
🚩 The allow-alltools flag
🐙 The GitHub MCP server

If you’d like to build a project like this yourself, you can check out the docs for the GitHub Copilot CLI and the GitHub Copilot SDK today!

The emoji list generator is free and open source, just for you.

Happy building!

Written by

Cassidy Williams

Cassidy is senior director for developer advocacy here at GitHub. She enjoys building software, advising startups, and teaching developers how to build better. She has a weekly newsletter at cassidoo.co/newsletter where you can get her updates, practice coding problems, and a joke in your inbox!

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