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code-review

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Perform code reviews following Sentry engineering practices. Use when reviewing pull requests, examining code changes, or providing feedback on code quality. Covers security, performance, testing, and design review.

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sentry-skills

getsentry/skills

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sentry-skills

productivity

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getsentry/skills
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plugins/sentry-skills/skills/code-review/SKILL.md

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January 20, 2026

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Scope:
npx add-skill https://github.com/getsentry/skills/blob/main/plugins/sentry-skills/skills/code-review/SKILL.md -a claude-code --skill code-review

Installation paths:

Claude
.claude/skills/code-review/
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Instructions

# Sentry Code Review

Follow these guidelines when reviewing code for Sentry projects.

## Review Checklist

### Identifying Problems

Look for these issues in code changes:

- **Runtime errors**: Potential exceptions, null pointer issues, out-of-bounds access
- **Performance**: Unbounded O(n²) operations, N+1 queries, unnecessary allocations
- **Side effects**: Unintended behavioral changes affecting other components
- **Backwards compatibility**: Breaking API changes without migration path
- **ORM queries**: Complex Django ORM with unexpected query performance
- **Security vulnerabilities**: Injection, XSS, access control gaps, secrets exposure

### Design Assessment

- Do component interactions make logical sense?
- Does the change align with existing project architecture?
- Are there conflicts with current requirements or goals?

### Test Coverage

Every PR should have appropriate test coverage:

- Functional tests for business logic
- Integration tests for component interactions
- End-to-end tests for critical user paths

Verify tests cover actual requirements and edge cases. Avoid excessive branching or looping in test code.

### Long-Term Impact

Flag for senior engineer review when changes involve:

- Database schema modifications
- API contract changes
- New framework or library adoption
- Performance-critical code paths
- Security-sensitive functionality

## Feedback Guidelines

### Tone

- Be polite and empathetic
- Provide actionable suggestions, not vague criticism
- Phrase as questions when uncertain: "Have you considered...?"

### Approval

- Approve when only minor issues remain
- Don't block PRs for stylistic preferences
- Remember: the goal is risk reduction, not perfect code

## Common Patterns to Flag

### Python/Django

```python
# Bad: N+1 query
for user in users:
    print(user.profile.name)  # Separate query per user

# Good: Prefetch related
users = User.objects.prefetch_related('profile')
```

### TypeScript/React

```typescript
// Bad: Mis

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