github-copilot-starter

To configure GitHub Copilot for a new project, you need to generate instruction files, prompt templates, and specialized agent definitions within the .github/ directory. This ensures Copilot adheres to best practices for coding, testing, documentation, and security.

Yes, you can set up Copilot instructions for a specific technology stack like .NET Blazor. The configuration process creates tailored instruction files and prompt templates based on your project's primary language, type, and additional technologies.

For AI coding assistance, the .github directory requires instruction files, prompt templates, specialized agent definitions, and CI/CD workflows. These files guide the AI to follow project-specific coding, testing, and security best practices.

Yes, setting up Copilot configurations includes generating CI/CD workflows within the .github/ directory. This integrates automated pipeline definitions directly alongside your AI coding instructions and agent definitions.

The best way to enforce coding best practices with GitHub Copilot is to generate specialized instruction files and agent definitions in your .github/ directory. This leverages the awesome-copilot repository to ensure adherence to testing, documentation, and security standards.

Copilot project setup handles different programming languages by adapting its configurations to the specified technology stack. It generates tailored prompt templates and instructions for the primary language, such as C# for a Blazor project or Python for Django.