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GenAIScript.-.Running.Scripts.from.Visual.Studio.Code.mp4

[github-actions]

https://github.com/user-attachments/assets/299a67a1-7259-422e-9ecb-7beb306da3bb

Summary

The video demonstrates how to run generative AI scripts in Visual Studio Code (VSCode), with a focus on integrating generative scripting (GenAI Script) via an extension. Steps involve searching for the relevant extension, creating and editing .genai.ts script files, configuring script parameters, and running the scripts to generate and view output directly in code or outputs—such as turning files into emoji or generating code poetry. Keyboard shortcuts and UI navigation are emphasized for an efficient workflow, with occasional on-screen overlays showing shortcut keys. The video cycles through script editing, running, and output inspection both visually and via short sample AI scripts.

Key Steps and Subissues

• Search for and install the GenAI script extension in VSCode [0:01, 0:07, 0:11]
• Create and edit a .genai.ts file for scripting [0:21, 0:25, 0:41]
• Define script parameters and description blocks [0:21, 0:41, 0:51]
• Write or modify AI script functions (e.g., turning files into emoji, writing poems) [0:25, 0:51, 1:02]
• Use built-in Copilot/AI chat to ask for or generate code [0:43, 0:51, 1:00]
• Execute the script using specific keyboard shortcuts or UI buttons [0:36, 0:51, 1:01]
• View script output and validate results in VSCode [0:30, 1:02, 1:12]
• (Optional) Manage, troubleshoot, or customize the environment and script parameters

Follow-up Subissues

• How to troubleshoot script errors and debugging GenAI scripts in VSCode
• Best practices for structuring prompts and functions for generative code tasks
• Integration with source control for GenAI-generated scripts
• Security and telemetry concerns when using generative AI extensions

Note: Time references are approximate given the lack of a transcript. The workflow shown is visually step-by-step, focusing on enhancing coding with generative AI scripts inside VSCode.

AI-generated content by action may be incorrect. Use reactions to eval.

[github-actions]

https://github.com/user-attachments/assets/299a67a1-7259-422e-9ecb-7beb306da3bb

Summary

The video demonstrates several ways to run scripts in Visual Studio Code (VS Code), particularly focusing on UI-based (non-command line) methods. The presenter walks through the process using an example "mojifier" script, which converts files into emojis.

Main Content & Steps

1. Introduction [00:00]

   • Overview of running scripts in VS Code using UI.
   • References to documentation on script execution.

2. Basic Script Execution [00:00:50 - 00:01:08]

   • Scripts can be run directly from the UI by selecting the script and using a "run" button.
   • If no file is specified, the script runs without files.

3. Run via Copilot Chat [00:01:11 - 00:01:39]

   • Scripts can be executed through Copilot chat using commands like /run.
   • The result is shown in the chat window, enabling further questions or chaining outputs as context.

4. Parameterizing with Files [00:02:01+]

   • How to set up scripts that expect input files.
   • Users can copy a file's relative path and pass it as a parameter to the script.
   • Demonstrates running the script with a single or multiple files, showing outputs (emojis) for each [00:03:03 - 00:04:03].
   • Possibility to select specific files or entire folders for script input.

5. Running via Explorer Window [00:04:12 - 00:04:14]

   • Right-click selected files or folders in the Explorer for script execution.

6. Adding Context in Copilot Chat [00:04:18 - 00:04:50]

   • Add a file as context in Copilot, then execute the script in the chat.
   • Discusses how input files affect script behavior and output tracing.

7. Summary [00:05:09 - end]

   • The selection of method depends on whether the script uses files.
   • Once parameterized, various UI ways (menu, explorer, chat) are available to run scripts.
   • Also notes command-line execution is possible (but not demoed).

Follow-up Subissues

• How to debug scripts that require file parameters in VS Code.
• Integration of chat outputs as context for subsequent questions or automations.
• Differences and limitations between command-line and UI/script execution modes.
• Automated batch processing of multiple files/folders using the UI.
• Deep dive on Copilot's role in chaining script outputs to further requests.

Notable Pointers

• Basic script running: [00:01:01]
• Using Copilot chat: [00:01:15]
• File parameterization and selection: [00:02:06 - 00:04:03]
• Explorer-based file/folder execution: [00:04:03]
• Adding context in Copilot chat: [00:04:25]

AI-generated content by action-video-issue-analyzer may be incorrect.

💰 Usage Report ⇅ 6.4kt 1.67¢ 15.8s

Model	Label	↑	↓	⇅	$	⏱️
github:gpt-4.1-2025-04-14	analyze video /github/workspace/.genaiscript/runs/action-video-issue-analyzer/2025-08-04T10-05-34-101Z-dI2fZMdlzR49LyZZtPFOB/files/daf3ab770534b2370296b7df9b32effe44490c2c9d71ac1cd4acf9fc13c33532.mp4	5.8kt	631t	6.4kt	1.67¢	15.8s