End-to-End Dev with GitHub Copilot + MCP Server | Full Workflow Demo

Key Concepts

• GitHub MCP (Management Command Protocol) Server: A server that enables programmatic access to GitHub repositories.
• Copilot: An AI-powered code completion and suggestion tool.
• Agent Mode: A mode in Copilot that allows it to execute commands and make changes to the codebase autonomously.
• Issue Creation: Programmatically creating issues in a GitHub repository.
• Issue Triaging: Prioritizing and categorizing issues based on their impact and feasibility.
• Pull Request Creation: Automating the process of creating pull requests with Copilot.

GitHub MCP Server Configuration and Authentication

The video demonstrates how the remote GitHub MCP server allows users to configure access to GitHub repositories with a few lines of JSON. Upon starting the server or enabling access, the user is prompted to authenticate, similar to any other GitHub application. This authentication process is handled by the MCP server, streamlining interactions with GitHub.

Issue Creation with Copilot and MCP

The presenter illustrates how to create a series of issues related to improving an application's functionality using Copilot and the MCP server. The process involves:

1. Listing desired features as bullet points.
2. Instructing Copilot to expand on these bullet points, including adding checklists.
3. Copilot, in Agent Mode, generates issue descriptions and checklists.
4. The user is prompted to approve the creation of each issue on the specified repository.
5. By enabling the creation of all issues for the session, multiple issues are created quickly.

Example: The presenter uses bullet points to outline desired features and asks Copilot to elaborate, which results in detailed issue descriptions and checklists being automatically generated.

Issue Searching and Triaging

The video demonstrates how to search for issues using the MCP server and Copilot:

1. Describing the desired issue search criteria to Copilot (e.g., "all issues related to filtering and search").
2. Copilot uses the MCP server to query GitHub and return a list of relevant issues.

Copilot can also assist with triaging issues:

1. The user asks Copilot to prioritize issues based on the biggest value to the user and ease of implementation.
2. Copilot analyzes the issues and provides its opinion, suggesting a prioritized issue (e.g., adding filtering capability).

Automated Pull Request Creation

The presenter explains how to implement code and create pull requests with Copilot's help:

1. Describing the desired code implementation to Copilot, referencing a specific issue number.
2. Copilot, in Agent Mode, writes the necessary code.
3. The user is prompted to run local tests (unit and end-to-end) to verify the code.
4. After successful testing, the user instructs Copilot to create a pull request.
5. Copilot creates a branch, generates a commit message, and creates the pull request.
6. The user reviews the JSON and approves the command to create the pull request on GitHub.

Example: Copilot creates a branch, commit message, and pull request based on the implemented code for a filtering feature.

Benefits of Using GitHub MCP Server and Copilot

• Access to Repository Assets: The GitHub MCP server allows accessing assets on repositories directly from the editor.
• Streamlined Workflow: Copilot assists in creating, triaging, and implementing features.
• Focus and Efficiency: Automating tasks like issue and pull request creation helps users stay focused on core development tasks.

Notable Quotes

• "[This] helps keep me in the zone that if I've got a great idea, I can use this as a real quick scratch pad and come back to that issue later."

Conclusion

The video demonstrates the effective use of the GitHub MCP server in conjunction with Copilot to streamline development workflows. By automating tasks such as issue creation, triaging, and pull request creation, developers can stay focused on implementing features and solving problems, increasing overall efficiency and productivity. The integration of Copilot's AI capabilities further enhances the development process by suggesting code, generating descriptions, and prioritizing tasks.