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Spec Driven Development Hackathon |
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Developers today agree that AI code assistant tools are useful for easy, repeatable tasks. JSON to Class, quick templated code, writing simple scripts. But most still think it's bad at more complex tasks. This exercise is here to show you that assumption is no longer as true as you might think! Spec-driven development takes your skills as a Software Engineer and augments your AI Coding Assistant to build software your way.
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Clone the Spec Driven Coding Framework repository: https://github.com/ChrisMcKee1/AI-Assisted-Coding
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NodeJS 16+ for MCP servers
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Container Platform An OCI compliant container runtime is recommended for .NET, and Python developers
For .NET Developers
- Clone the eShop repository: https://github.com/dotnet/eshop
For Java Developers
- Clone the Pet Clinic repository: https://github.com/spring-projects/spring-petclinic/
For Python Developers
- Clone the InvenTree repository: https://github.com/inventree/InvenTree
For Typescript Developers
- Clone the https://github.com/mrWh1te/ngLibrary repository:
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Git and GitHub
- Cloning repositories
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One of the following Languages:
- C#
- Java (Spring-boot)
- Python
- Typescript (Angular - ready, React - coming soon)
For .NET Developers
For Typescript Developers
In the Exercise Files folder, you'll find a series of Markdown files. These are just a few example requirements that we dreamed up to add new features to eShop. Choose one and see how well the AI framework implements the change!
You'll understand better how to utilize advanced AI tools to increase your productivity and workflow.
- Setup the AI Coding Workflow
The key to this workshop is our advanced workflow. This will show you how to reuse our work across your projects. - Understanding Requirements
We've created several sample requirements docs. Run one and see the results. - Tips and Tricks
Pitfalls to avoid, custom instructions, and prompt files
Select your learning path below to get started!
This workshop is designed to be a goal-oriented self-exploration of Advanced AI Coding using GitHub Copilot. Your results will vary, as AI development is non-deterministic.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
Footnotes
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For more information, see Container Runtime ↩