Explaining Copilot code review: An improved review experience using a test GitHub repository

This article is a technical explanation and implementation example generated using AI. Although the code and procedures presented are based on primary sources, they have not been verified on actual hardware by the author. Behavior may vary depending on the environment and version.

The code review functionality provided by GitHub Copilot has been revamped to make tracking pull request progress easier. This article organizes the mechanics of the new features, the overall picture of the changes, and key points for safely understanding the specifications, all derived from the official changelog. Since this has not been verified on actual devices, actual screen displays and execution results of automation scripts are not shown.

1. Introduction: Purpose of this article and safe approach

The purpose of this article is to break down the content of the official GitHub changelog "Copilot code review: An improved review experience" and accurately understand the changes in the review process for team development.

To safely and practically understand the specifications, please read through while keeping the following constraints and preconditions in mind.

• Constraints of this article: Operational verification on actual devices has not been performed. Therefore, assertions regarding screen behavior and API responses are avoided, and the explanation is based on facts stated in official information.

• Target environment: Pull requests on GitHub and the Copilot code review feature (Generally Available).

2. Prerequisites and Precautions

To safely investigate and operate the new Copilot code review features, attention must be paid to the following points.

• Balance between automatic resolution and manual control: The capability for Copilot to automatically resolve comments has been enhanced, but operational rules are required to correctly reflect developer intentions (such as "Won't Fix" or "Incorrect").

• Commit messages during batch processing: When applying multiple suggestions in a batch, a perspective is required to verify whether the content of the automatically generated commit messages complies with the team's naming conventions.

• Tracking change history: It is recommended that team members share in advance how review progress and unresolved issues are aggregated in conjunction with additional commits to the pull request.

3. Key components in the refresh of the review experience

In this update, multiple features related to pull request reviews have been improved. Each element is organized based on primary sources.

Redesign of the review overview (summary comment)

The updated summary comment provides the following information at a glance:

• Copilot's current assessment of the pull request

• The review effort level used

• A summary of detected issues

Issues are categorized and organized into the following groups:

flowchart TD
    A[Copilotコードレビュー概要] --> B[Open: 未対応の問題]
    A --> C[Resolved since last review: 修正確認済みの問題]
    A --> D[Previously missed: 既存の変更から新たに見つかった問題]
    B --> B1[new ラベル付きの新規コミット由来の課題]

Each issue includes a severity level and a link to the inline comment, allowing you to quickly navigate from the overview to the relevant code. Furthermore, when making additional commits to request a re-review, the previous progress and logs are retained.

Introduction of comment titles

Each Copilot code review comment now includes a title that concisely represents the findings. This title is also used in the aforementioned summary comment's issue list, helping you determine at a glance which issues should be addressed with priority.

Intelligent automatic comment resolution

The feature where Copilot automatically resolves its own comments has been improved.

• Respect for user intent: If there is a reply to keep a comment open, that intent is respected.

• Addition of resolution reasons: Depending on subsequent commit status, comments are automatically resolved with a resolution reason such as Won't Fix or Incorrect.

Smart commit messages for batch suggestions

When batch committing eligible Copilot code review suggestions, relevant commit titles and, if necessary, descriptions are automatically generated based on the selected changes. Even if the batch includes non-Copilot comments, smart commit messages are generated similarly.

4. Key points and items to check when using the feature

When leveraging and verifying features from official information, it is recommended to check the following items in order.

1. Understanding the overview: Review the refreshed summary comment displayed in the pull request and check how the categorization of feedback items (Open, Resolved since last review, Previously missed) is reflected.

2. Leveraging comment titles: Check whether the titles displayed in the feedback list allow for smooth prioritization of responses.

3. Verifying auto-resolution behavior: Observe whether comments are automatically resolved as intended when making commits determined to be "Won't Fix" or "Incorrect".

4. Batch commit testing: Evaluate the content of the generated commit message when multiple suggestions are applied collectively.

5. Limitations and Considerations of This Feature

• Constraints prior to device verification: [Before actual verification] The features and UI layouts introduced in this article are based on official announcements, and their appearance and behavior may vary depending on the repository settings, GitHub plan, and rollout timing.

• Evaluation of AI-generated content: Commit messages and auto-resolution determinations generated by Copilot are supplementary, and developers must take final responsibility for code quality and acceptance.

6. Conclusion

Based on the official GitHub announcement, we have organized the key updates of "Copilot code review: An improved review experience".

The points and constraints to check before execution and adoption are summarized below.

• Referencing official information: Always refer to the latest official documentation and changelog before actual adoption.

• : Differences in operating environment: The scope and timing of available features may vary depending on the GitHub environment and organization settings.

• Balancing automation and manual reviewWhile automatic comment resolution and smart commit messages are convenient, it is important to use them within the framework of your team's operational rules and code review quality management processes.

References

• Copilot code review: An improved review experience