Auto-resolution and analysis updates in Copilot code review
Copilot code review now resolves its own comments once you address them and writes smart commit messages for you when you apply its code suggestions. Behind the scenes, Copilot now… The post Auto-resolution and analysis updates in Copilot code review appeared first on The GitHub Blog.
Overview
Copilot code review now resolves its own comments once you address them and writes smart commit messages for you when you apply its code suggestions. Behind the scenes, Copilot now uses a broader set of shell tools to validate the code it reviews, and an ensemble of agents produce a more thorough review within the Lite effort level. Together, these updates make it easier to focus on the feedback that still matters and give Copilot more ways to check its work.
Review experience updates
✅ Automatic resolution of addressed comments
When you push a commit that addresses a Copilot code review comment, Copilot now resolves that comment during its rereview. Instead of manually resolving threads that are no longer relevant, you can now rely on the open comments to reflect only the feedback that still needs your attention.
- Comments are automatically resolved when a later commit addresses the underlying feedback.
- Feedback that is still outstanding stays open, so nothing gets lost.
Smart commit messages on Copilot autofix suggestions
When you apply a suggestion provided by a Copilot code review comment, instead of auto-filling the standard commit message, Copilot now generates a smart suggestion based on what it’s changing.
🔧 Analysis updates
The following changes only improve the quality of reviews you receive and do not affect how you request or receive reviews.
Deeper analysis with shell tools
Building on the file-reading tools already used during review, Copilot code review now uses the full set of shell tools from the Copilot SDK, running behind the Copilot agent firewall. This gives the review agent more ways to validate the code under review (e.g., running build commands, running tests, executing targeted scripts, and retrieving information from available tools and APIs).
Details
Our experiments with this change showed that developers left more positive feedback on Copilot’s comments, and Copilot surfaced more high severity findings and fewer nits.
Ensemble of agents in Lite reviews
The Lite effort level now uses an ensemble of agents to produce a review rather than one agent working alone. Each agent contributes its own perspective on the code, and Copilot combines their findings into a single review. This makes Lite reviews more thorough and accurate for the same or often lower cost.
In our experimentation, the ensemble approach increased the average number of addressed comments per review by 47% for high severity findings, 31% for medium, and 11% for low, while reducing review cost by about 8%.
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The post Auto-resolution and analysis updates in Copilot code review appeared first on The GitHub Blog.
Source
Originally published at github.blog.
