This article explores how a team built an AI-powered emoji list generator during a Rubber Duck Thursday live stream. The tool runs in the terminal, takes a list of bullet points, and uses AI to intelligently replace them with relevant emojis before copying the result to the clipboard.
Key highlights include:
- Use of GitHub Copilot CLI for rapid development via plan and autopilot modes.
- Integration of @opentui/core for the terminal user interface.
- Leveraging the GitHub Copilot SDK to provide intelligent emoji selection.
- Implementation of a multi-model workflow using different LLMs for planning and execution.
Key highlights include:
- Use of GitHub Copilot CLI for rapid development via plan and autopilot modes.
- Integration of @opentui/core for the terminal user interface.
- Leveraging the GitHub Copilot SDK to provide intelligent emoji selection.
- Implementation of a multi-model workflow using different LLMs for planning and execution.
A workflow for rapidly building applications with GitHub Copilot CLI, emphasizing its role in generating *momentum* and quickly reaching a reviewable pull request. Leverage Copilot CLI for speed, your IDE for refinement, and GitHub for collaboration.
* **Define & Scaffold:** Start with a natural language description of your goal and use Copilot CLI to scaffold only the parts you're ready to actively work on.
* **Iterate & Refine:** Run tests and use Copilot CLI to help understand and fix failures; handle mechanical, repo-wide changes with the CLI.
* **Develop & Ship:** Transition to your IDE for complex logic/design, then commit your changes and create a pull request on GitHub for collaboration.
* The Copilot SDK offers possibilities for embedding agentic execution directly within applications.
* **Define & Scaffold:** Start with a natural language description of your goal and use Copilot CLI to scaffold only the parts you're ready to actively work on.
* **Iterate & Refine:** Run tests and use Copilot CLI to help understand and fix failures; handle mechanical, repo-wide changes with the CLI.
* **Develop & Ship:** Transition to your IDE for complex logic/design, then commit your changes and create a pull request on GitHub for collaboration.
* The Copilot SDK offers possibilities for embedding agentic execution directly within applications.
