1. Collaborative AI Coding Workflows Using GitHub Pull Requests


    To set up a collaborative AI coding workflow using GitHub Pull Requests with Pulumi, you would typically follow these steps:

    1. Create a repository on GitHub to host the code.
    2. Set up branch protection rules to ensure the main branch remains stable and that changes go through a pull request process.
    3. Define a project board to organize and track tasks related to AI model development and coding workflows.
    4. Add collaborators to the repository with specific permissions.
    5. Optionally, create templates for issues and pull requests to standardize descriptions and to facilitate the workflow process.

    In the context of Pulumi, the steps above can be automated within an infrastructure as code paradigm. We'll create a Pulumi program that programmatically sets up a GitHub repository, configures branch protection, sets up a project board, adds collaborators, and creates standardized issue and pull request templates. Here's a Python program that completes these steps using the Pulumi GitHub provider:

    import pulumi import pulumi_github as github # Create a new GitHub repository to host the code for collaborative AI workflows repo = github.Repository( "ai-coding-workflows", description="AI Coding workflows using GitHub Pull Requests", visibility="public", # or "private" depending on your needs ) # Set up branch protection rules to ensure the stability of the main branch branch_protection = github.BranchProtection( "main-protection", repository_id=repo.node_id, pattern="main", requires_approving_reviews=True, required_approving_review_count=1, ) # Define a GitHub project board to track tasks project_board = github.Project( "ai-workflow-board", name="AI Workflow Board", body="Project board to track AI coding tasks", repository_id=repo.node_id, ) # Add collaborators to the repository collaborator = github.RepositoryCollaborator( "ai-coding-collab", repository=repo.name, username="collaborator_username", # replace with the GitHub username of the collaborator permission="push", # Options are 'pull', 'push', or 'admin' ) # Create issue and pull request templates issue_template = github.IssueTemplate( "bug_report", title="Bug Report", about="Create a report to help us improve", name="BUG_REPORT", repository=repo.name, body="Details about the bug...", # Fill in the template details here ) pull_request_template = github.RepositoryFile( "pull_request_template", repository=repo.name, file=".github/pull_request_template.md", content="""\ # Pull Request Template Please use this template for all pull requests to ensure our coding standards are maintained. ## Description Describe your changes in detail ## Type of change Please mark options that are relevant. - [ ] Bug fix (non-breaking change which fixes an issue) - [ ] New feature (non-breaking change which adds functionality) """, ) # Export the URL of the repository so it can be easily accessed pulumi.export('repository_url', repo.html_url)

    In this program, we have defined several resources that Pulumi will provision on GitHub:

    • github.Repository: Represents a GitHub repository where you can store and manage your codebase.
    • github.BranchProtection: Ensures that changes to the specified branch go through a pull request with a minimum number of reviews.
    • github.Project: This will serve as our project board where we can organize and track progress on issues and tasks related to development.
    • github.RepositoryCollaborator: Grants a specified user the permission to collaborate on the repository.
    • github.IssueTemplate and github.RepositoryFile: These create templates for issues and pull requests to help standardize the information required when creating new ones.

    After running this program with pulumi up, Pulumi will reach out to GitHub and provision these resources accordingly. It's important to replace values like collaborator_username with actual usernames, and fill in the issue and pull request templates with content that fits your project. The repository URL is exported at the end so you can easily navigate to the new repository on GitHub.