GitHub Copilot Extension: Image Insight

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Copilot Extensions are now in Public Beta, offering all GitHub Copilot users the ability to extend and customize their Copilot experience. In this video, we explore *Image Insight, a powerful Copilot Extension that processes image files* to enhance the development workflow. With Image Insight, developers can generate code snippets from visual data, analyze architecture diagrams, and transform diagram-based logic into code.

We will dive into several exciting use cases of this extension, including:

1. Analyzing and interpreting architecture diagrams
2. Generating class files from class diagrams
3. Converting diagram-based logic into code
4. Generating test cases from visual flows
5. Image-based data modeling
6. Identifying target resource requirements
7. Parsing network topology diagrams to generate configuration scripts
8. Converting screen designs into code

Unlock new possibilities for visual and code-driven workflows with Image Insight!

*TimeStamp*
--------------------------
00:00 - Introduction to Image Insight
06:30 - Analyze and Interpret the Architecture Diagram
08:14 - Generate Class Files from Class diagram
10:22 - Converting Diagram-Based Logic into Code
12:00 - Generating Test Cases from Visual Flows
14:00 - Image-Based Data Modelling
16:26 - Identify Target Resource Requirements
17:43 - Parse Network Topology Diagrams to Generate Configuration Scripts
21:42 - Screen Design to Code

🔗 Related Links:

#github #githubcopilot #copilot #copilotextension
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i wanted to use the sonnet 3.5 model using aws bedrock to do this same functionality. do you think that is feasible?

BishalPatnaik
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After following the steps listed, i only see Hello from Copilot Extension in the localhost:3000.
How do we get to the place where we can type @ and see the extension name and where is this supposed to be visible?

wotcherbabe