How to Run Scripts in the Terminal With GitHub Copilot

https://hubs.ly/Q04h0Rvx0 👆Bitovi can help train your engineers on AI 00:00 - Introduction & Tool Configuration 01:02 - The "Run in Terminal" Tool 02:23 - Background Terminal Isolation 03:03 - Natural Language Commands 04:00 - Managing Hidden Terminals 05:26 - Using Terminal Selection for Context 06:36 - Long-Running Tasks & Async Terminals 08:36 - Automating Workflows with Skills 11:02 - Bitovi Training & Conclusion Introduction & Tool Configuration - Meet Mike from BOVi and learn how to use GitHub Copilot in the terminal. - Open the tool configuration window in the chat panel. - Overview of built-in features and custom MCP servers. The "Run in Terminal" Tool - Unlock new capabilities with the execution tool folder. - Use direct prompts like the pwd command to check your current path. Background Terminal Isolation - Watch Copilot run commands and read output in its own terminal. - Why it uses a hidden background environment instead of your active workspace. Natural Language Commands - Ask questions normally without typing "run in terminal" every time. - Use prompts like "what git branch am I on?" to trigger automatic tools. - How the AI execution and reasoning loop works. Managing Hidden Terminals - Find and identify background windows managed by Copilot. - Interact with and rename linked terminal windows. Using Terminal Selection for Context - Run test scripts to view live, synchronized output. - Highlight terminal text to pass exact data to the AI. - Use terminal logs for context just like codebase files. Long-Running Tasks & Async Terminals - Manage continuous web servers and backend processes. - Run development environments using your package.json scripts. - Monitor active processes, clear old servers, and read logs. - What happens when you open a brand-new Copilot window. Automating Workflows with Skills - Use the .github/skills directory to expand what the AI can do. - Automate a "commit skill" to check changes, run tests, and stage files. - Streamline complex multi-step pipelines and deployments.