GitHub Copilot CLI → Code Review → Linear Issue Creation
Automatically generate code suggestions with GitHub Copilot CLI, review them in GitHub, and create tracking issues in Linear for implementation follow-ups.
Workflow Steps
GitHub Copilot CLI
Generate code suggestions in non-interactive mode
Use `gh copilot suggest` command with specific prompts to generate code snippets, CLI commands, or scripts. Run in non-interactive mode for batch processing of multiple code generation requests.
GitHub
Create pull request with generated code
Push the Copilot-generated code to a new branch and create a pull request. Use GitHub's PR templates to standardize the review process and include context about which suggestions came from Copilot.
GitHub Actions
Trigger automated code review checks
Set up GitHub Actions workflow that runs linting, testing, and security scans on the Copilot-generated code. Configure branch protection rules to require these checks before merging.
Linear
Auto-create follow-up issues via webhook
Use Linear's GitHub integration to automatically create issues when PRs are merged. Configure issue templates that capture which Copilot suggestions were implemented and any technical debt created.
Workflow Flow
Step 1
GitHub Copilot CLI
Generate code suggestions in non-interactive mode
Step 2
GitHub
Create pull request with generated code
Step 3
GitHub Actions
Trigger automated code review checks
Step 4
Linear
Auto-create follow-up issues via webhook
Why This Works
Combines AI code generation with human review processes and project tracking, ensuring AI suggestions are properly vetted and documented for future reference.
Best For
Development teams wanting to systematically track and review AI-generated code suggestions
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