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Github Copilot Workspace
Overview :
GitHub Copilot Workspace is a revolutionary development environment. Utilizing natural language processing technology, it provides AI assistance throughout the entire process from ideation to coding and software development. This product enhances developer productivity by reducing the burden of boilerplate work and lowering the threshold for programming entry. It aims to help professional developers and hobbyists convert their ideas into code more efficiently.
Target Users :
["Professional Developers: Reduce样板代码 writing to focus more on system design and architecture.","Novice Hobbyists: Lower the barrier to entry for programming, enabling non-professional developers to easily build software.","Educators and Students: As a teaching tool, this helps students understand programming concepts and practices more quickly."]
Use Cases
Developers leverage Copilot Workspace to quickly build a new feature module.
In an educational environment, students use Copilot Workspace to learn programming basics and complete assignments.
In team collaboration, members work on projects in real-time through a shared Copilot Workspace.
Features
Natural language processing from idea to code
Provide solutions based on deep understanding of code libraries and issues
Fully editable plans and code proposals
Directly run and iterate code within the workspace
Collaboratively share workspaces with team members for easier teamwork
Supports mobile devices for programming anytime, anywhere
Integrated with GitHub repositories and issue tracking systems
How to Use
1. Register and log in to your GitHub account.
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2. Visit the GitHub Copilot Workspace page and sign up for the technical preview.
3. Start from a GitHub repository or issue tracking and use Copilot agents to get AI assistance.
4. Use step-by-step plans provided by Copilot Workspace to solve problems.
5. Edit plans and code as needed until you are satisfied.
6. Run and test your code directly in the Copilot Workspace.
7. Share workspaces with team members via links for collaboration and iteration.
8. After completing the code, submit a pull request and conduct code review through GitHub Actions.
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