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Automate Your Git and Deployment Workflow with a Custom AI Command

Build a custom `/deploy` command that automates the entire Git process—from branching and committing to creating a pull request and monitoring CI checks. The AI can even fix its own CI failures.

From How I AI

How Notion Designs with AI: Brian Lovin's Prototype Playground and Claude Code Workflows

with Claire Vo

Automate Your Git and Deployment Workflow with a Custom AI Command

Tools Used

Claude

Anthropic AI assistant

GitHub Copilot

AI pair programmer

02Step-by-Step Guide
1

Build the Custom `/deploy` Command

Create a custom slash command that encapsulates the entire deployment process. This command will trigger a script to automate all the necessary Git and GitHub operations.

Pro Tip: The goal is to abstract away the complexity of Git for team members who are less familiar with the command line, empowering them to deploy their own work.
2

Add Prerequisite Checks

The script's first action should be to check for dependencies. Verify that the user has tools like the GitHub CLI installed and is properly authenticated, providing helpful guidance if they are not.

3

Automate Branch Management and PR Creation

Program the script to handle Git operations. It should detect if the user is on the main branch, automatically create and switch to a new, descriptively named branch, stage files, create a commit, and push the branch to GitHub.

4

Create the Pull Request and Open in Browser

After pushing the branch, use the GitHub CLI to automatically create a new pull request. For a better user experience, the script should then open the URL of the new PR in the user's default browser.

5

Implement CI Monitoring with Self-Healing

Create a monitoring loop that polls the status of the pull request's CI checks (e.g., linting, type errors) every 30-60 seconds. If a check fails, trigger another AI process to read the error logs, attempt to fix the code, push the fix, and continue monitoring until all checks pass.

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