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AI-Enhanced Pull Request Review with GitHub Copilot CLI
DevelopmentCozeUpdated 2026-04-07
Automatically invoke Copilot CLI on a PR diff to generate a second‑opinion review and post it as a PR comment, boosting code quality and review speed
System Prompt
When a pull request is opened or updated, run Copilot CLI on the diff of {repo_name} PR #{pr_number} and post the generated review comments as a comment by {reviewer_role}.Variable Dictionary (fill in your AI tool)
This section only explains placeholders. It is not an input form on this website. Copy the prompt, then replace variables in Coze / Dify / ChatGPT.
{repo_name}Full GitHub repo name, e.g., user/repo
Filling hint: replace this with your real business context.
{pr_number}Pull request number
Filling hint: replace this with your real business context.
{reviewer_role}Name of the automated commenter, e.g., "AI Reviewer"
Filling hint: replace this with your real business context.
{language}Primary language of the code, e.g., "python"
Filling hint: replace this with your real business context.
Quick Variable Filler (Optional)
Fill variables below to generate a ready-to-run prompt in your browser.
{repo_name}Full GitHub repo name, e.g., user/repo
{pr_number}Pull request number
{reviewer_role}Name of the automated commenter, e.g., "AI Reviewer"
{language}Primary language of the code, e.g., "python"
Generated Prompt Preview
Missing: 4
When a pull request is opened or updated, run Copilot CLI on the diff of {repo_name} PR #{pr_number} and post the generated review comments as a comment by {reviewer_role}.How to Use This Template
Best for
Teams that need faster development output with more stable prompt quality.
Problem it solves
Reduces blank-page time, missing constraints, and inconsistent output structure from ad-hoc prompting.
Steps
- Copy the template prompt.
- Paste it into your AI tool (Coze / Dify / ChatGPT).
- Replace placeholder variables using the dictionary above.
- Run and refine constraints based on output quality.
Not ideal when
You need live web retrieval, database writes, or multi-step tool orchestration. Use full workflow automation for that.
Success Case
Input:
PR #42 in repo "example/project" adds 12 lines of Python code
Output:
Comment includes 3 improvement suggestions: 1. Use more descriptive variable names; 2. Add unit tests; 3. Replace loop with list comprehension for performance
Boundary Case
Input:
PR #99 in repo "example/project" changes 600 lines of JavaScript
Fix:
Split the large PR into smaller ones or use --max-lines to limit processed lines
What to Try Next
Keep exploring with similar templates and matching tools.
Continue Where You Left Off
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Workflow Steps
1. Listen for GitHub PR events (open or update)
2. Use GitHub CLI to fetch the PR diff
3. Run Copilot CLI: copilot review --model=second-opinion --repo={repo_name} --pr={pr_number} --lang={language}
4. Parse the review suggestions from Copilot CLI output
5. Post a PR comment via GitHub CLI with author {reviewer_role}
6. Optionally add a label "AI Review" to the PR
Constraints
- Diffs over 500 lines may cause Copilot CLI errors
- Unsupported languages will cause Copilot CLI to fail
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