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: Missing dependency in useEffect
useEffect(() => {
  fetchData(userId);
}, []);  // userId not in deps

// Good: Include all dependencies
useEffect(() => {
  fetchData(userId);
}, [userId]);

Security

python
# Bad: SQL injection risk
cursor.execute(f"SELECT * FROM users WHERE id = {user_id}")

# Good: Parameterized query
cursor.execute("SELECT * FROM users WHERE id = %s", [user_id])

References

• Sentry Code Review Guidelines