Skip to content

dbroeglin/az-ai-scaffolding-test-l300

Repository files navigation

Solution generated with the Az AI Scaffolding tool test (l300)

ToC: USER STORY | GETTING STARTED | HOW IT WORKS

User story

Az AI scaffolding tool test overview

Tip

Az AI Tip: Document what your solution does here.

Getting Started

Codespaces and DevContainers

This respository has been configured to support GitHub Codespace and DevContainers.

Open in GitHub Codespaces Open in Dev Containers

Warning

Do NOT git clone the application under Windows and then open a DevContainer. This would create issues with file end of lines. For DevContainer click on the button above and let Visual Studio Code download the repository for you. Alternatively you can also git clone under Windows Subsystem for Linux (WSL) and ask Visual Studio Code to Re-Open in Container.

Local

It is possible to work with a fully local setup.

Tip

Az AI Tip: Document here how to quickly deploy the solution. Try to reduce this to azd up by automating as much as possible. Have a look at main.bicep and scripts for examples of how to do that

Quick deploy

To deploy Az AI scaffolding tool test just run:

azd up

[!WARNING] The application automatically configures authentication to secure frontend To do so it creates an app registration in EntraID. If the account you are using to deploy the app does not have the required permissions, disable the preprovision script in azure.yaml

How it works

  • TODO: How to run backend locally
  • TODO: How to run frontend locally

User Manual

  • TODO : Observability

Tip

Az AI Tip: Document how the solution is used and operated here. Optionally, if the section is too long, create a USER_MANUAL.md file and link to it from here.

Architecture

Tip

Az AI Tip: Document the solution's architecture here. Optionally, if the section is too long, create a ARCHITECTURE.md file and link to it from here.

Tip

Az AI Tip: For architecture diagrams, you can leverage the Markdown text diagramming capabilities available in GitHub. See example below.

architecture-beta
    group solution(cloud)[Solution]

    service frontend(server)[Frontend] in solution
    service backend(server)[Backend] in solution

    frontend:R --> L:backend
Loading

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct.

Resources:

For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

Responsible AI Guidelines

This project follows below responsible AI guidelines and best practices, please review them before using this project:

About

Sample level 300 solution generated by 'yo az-ai'

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published