Use GitHub Copilot code review across the pull request lifecycle

Build a repeatable workflow for Copilot 코드 검토 from draft pull request to merge.

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Introduction

Copilot 코드 검토 is most effective when you use it as part of a pull request workflow. This tutorial shows how to choose between manual and automatic reviews, request reviews early on draft pull requests, and decide when to trigger re-review before merge.

You will also learn when to use customization, skills, MCP servers, and runner options to tailor Copilot's reviews to your needs.

Work through the pull request lifecycle

Choose a review model and set up early feedback for draft and active pull requests.

Choose the right review model for your team

Copilot 코드 검토 can run manually, when you trigger it yourself, or automatically, at one or more points in a pull request's lifecycle. Manual reviews give you control over exactly when Copilot 코드 검토 weighs in. Automatic reviews ensure consistent coverage, and you can choose whether they trigger on open, on draft, or on every new push.

Review modelBest forWhy
Manual review requestHigh-context changes or selective useYou can trigger Copilot only when you want another perspective.
Automatic review on open pull requestsTeams that want broad, consistent coverageEvery pull request gets baseline feedback without relying on individual habits.
Automatic review on draft pull requestsTeams that want earlier feedback loopsAuthors can fix issues before human review starts.
Automatic review on new pushesFast-moving pull requests with multiple revisionsCopilot reevaluates substantial updates as the pull request evolves.

For setup steps, see GitHub Copilot 코드 검토 사용 and GitHub Copilot 자동 코드 검토 구성.

Use Copilot 코드 검토 early on draft pull requests

Reviewing draft pull requests with Copilot 코드 검토 gives you an early, dependable check on your code before you request a review from your team.

A useful draft workflow is:

  1. Open a pull request as draft.
  2. Request a review from Copilot 코드 검토 under Reviewers, or enable automatic review for draft pull requests.
  3. Address high-confidence feedback first, such as correctness, security, and clear maintainability issues.
  4. Push updates and confirm that major comments have been resolved.
  5. Mark the pull request as ready for human review.

This approach helps your team spend more human review time on design tradeoffs and product impact, instead of obvious issues that could have been caught earlier.

Tune review quality

Improve review quality by deciding when to request re-review and where customization, external context, and runners add value.

Use re-review before merge

After substantial changes, request re-review to check whether new risks were introduced while addressing earlier feedback.

Request re-review when you:

  • Update multiple files across service or package boundaries.
  • Change security-sensitive or data-sensitive behavior.
  • Apply a large batch of suggested changes and want a final pass.

For teams with frequent updates to active pull requests, enabling automatic reviews on new pushes can reduce manual re-review requests while keeping feedback current.

Match customization to your workflow

Customization is most useful when each file type supports a review decision point in your workflow:

  • Use .github/copilot-instructions.md for repository-wide review expectations that should apply to most pull requests.
  • Use .github/instructions/**/*.instructions.md for agent-specific and path-specific guidance when different parts of the codebase have different standards.
  • Use AGENTS.md to provide repository context that improves relevance, such as intentional patterns, architecture boundaries, or review priorities.

Keep these files focused on what reviewers need to decide during pull requests. Avoid turning them into full engineering handbooks.

For detailed customization mechanics and examples, see 사용자 지정 지침을 사용하여 Copilot 코드 검토의 기능 잠금 해제.

Use agent skills and MCP servers for specialized review goals

Agent skills and MCP servers are most valuable when your team needs reviews that depend on organization-specific context.

Use agent skills when you want reusable review routines, for example:

  • Applying a standard checklist to migration pull requests.
  • Running language- or framework-specific review passes in a monorepo.
  • Prioritizing certain risk areas, such as authorization or billing logic.

Use MCP servers when reviews should reference context outside the pull request itself, for example:

  • Linking pull request changes to issue, incident, or service ownership data.
  • Checking expected rollout or operational context from internal systems.
  • Validating implementation details against external documentation sources.

For setup details, see GitHub Copilot에 에이전트 기술 추가 and 리포지토리에 대한 MCP 서버 구성.

Decide whether you need self-hosted runners

In many cases, standard GitHub-hosted runners are sufficient for Copilot 코드 검토 and require no setup; they are configured for you by default.

Consider self-hosted or larger runners when you need:

  • Better performance for heavier review workloads.
  • Network access to internal systems required by your organization.

Runners are required because Copilot 코드 검토 uses GitHub Actions for agentic operations, such as deeper context gathering and tool-calling. If GitHub-hosted runners are unavailable and no supported self-hosted option is configured correctly, reviews will fall back to a more limited mode.

For planning and setup details, see GitHub Copilot 코드 검토를 위한 러너 구성.

Team scenarioRecommended workflow
Small team with frequent pull requestsEnable automatic reviews for all pull requests, review drafts for early feedback, and use manual re-review before merge when changes are substantial.
Large monorepo with mixed stacksEnable automatic reviews and review new pushes, add path-specific instructions for each major area, and use skills for repeated review patterns.
Security-sensitive or regulated codebaseUse draft pull request reviews plus required re-review before merge, keep repository-wide security expectations in .github/copilot-instructions.md, and use MCP servers for incident or compliance context stored outside of GitHub.
Team with internal platform dependenciesStart with automatic review, then add self-hosted runners and MCP context only when internal-system access is required for useful review feedback.

Next steps