CheckOps
GitHub Copilot code review
GitHub Copilot code review is GitHub's AI reviewer that comments on pull requests and in the IDE, with effort levels that set AI-credit cost per review.
Latest public signals
Not refreshed yet. Refresh reads the public site and, when the entry has a GitHub repository, the latest release.
Introduction
GitHub Copilot code review lets you request a review from Copilot on a pull request, or review changes in supported IDEs. Copilot leaves comments and suggested changes, which you can apply directly.
Repository and organisation rulesets can request Copilot reviews automatically, and custom instructions files guide what it checks. GitHub’s documentation describes effort levels that trade depth for cost, with estimated average costs per review in AI credits.
In the quality loop it is an AI first pass on pull requests inside GitHub.
Features
- PR reviews: Comments and suggested changes.
- IDE reviews: Review before pushing.
- Automatic reviews: Via rulesets.
- Custom instructions: Repository guidance.
- Effort levels: Lite, Balanced and Max.
- Native to GitHub: No extra app.
Pros
- Built in: Available where your code already lives.
Cons
- GitHub only: Not for other platforms.
- Credit consumption: Higher effort costs more.
- AI accuracy: Human approval still needed.
Usage and Links (Example)
- Open a pull request and add Copilot as a reviewer.
- Or configure a ruleset to request Copilot automatically.
- Add
.github/copilot-instructions.mdto steer reviews.
Resources:
Pricing
Copilot code review requires a GitHub Copilot plan and consumes AI credits. GitHub’s docs estimate average costs per review of about $0.25 (Lite), $1.50 (Balanced) and $10 (Max).
Recommended for?
- GitHub-centric teams with Copilot licences.
Conclusion
Copilot code review is the most convenient AI reviewer for GitHub users.
Choose effort levels deliberately to balance depth and cost.
On CheckOps, GitHub Copilot code review is filed under the Release & CI gates stage. Related tools listed here include CodeRabbit, PR-Agent, Greptile, Sourcery, CodeAnt AI and Cursor Bugbot. A short trial on a real project, with your own code, data and pipeline, is usually the fastest way to choose between them, because fit matters more than feature lists. Facts here come from the official site, documentation and repository, checked on 11 November 2026.
Alternatives
Other tools on CheckOps that cover similar ground. Open a page, or compare one with GitHub Copilot code review side by side.
CCodeRabbitCodeRabbit is a SaaS AI code review tool that reviews pull requests and code in the IDE and CLI, with summaries, line-by-line feedback, linters and SAST, free for public repositories.Compare with GitHub Copilot code review
PPR-AgentPR-Agent is an MIT open-source AI code review agent, donated by Qodo to the community, that describes, reviews and suggests improvements for pull requests using your own LLM keys.Compare with GitHub Copilot code review
GGreptileGreptile is a SaaS AI code review tool that builds a graph index of your codebase and uses agents to review and test pull requests with full repository context.Compare with GitHub Copilot code review
SSourcerySourcery is a SaaS AI code reviewer for GitHub and GitLab pull requests and the IDE, free for open source, with Pro and Team plans per developer.Compare with GitHub Copilot code review
CCodeAnt AICodeAnt AI is a SaaS platform for AI code review, code quality gates and code security (SAST, SCA, secrets, IaC), plus pentesting, priced per developer.Compare with GitHub Copilot code review
CCursor BugbotCursor Bugbot is an AI code review agent from Cursor that reviews pull requests on GitHub, GitLab, Bitbucket and Azure DevOps for bugs and security issues, with rules, autofix and a CI check.Compare with GitHub Copilot code review