Sentry Code Review
SkillMonitoring & opsThe code review skill is an agent skill that lets an AI agent perform code reviews following Sentry engineering practices. It is used when reviewing pull requests, examining code changes, or giving feedback on code quality. The review covers security, performance, testing, and design.
Use Sentry Code Review in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Sentry Code Review and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Sentry Code Review skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Have an AI agent that can load and use skills.
What your AI can do with it
- Review pull requests against Sentry engineering practices
- Examine code changes for security issues
- Check code changes for performance problems
- Assess testing coverage and quality in a change
- Give design feedback on code quality
Getting started
- Have an AI agent that can load and use skills.
- Add the code review skill to that agent's available skills.
- Point the agent at a pull request or a set of code changes.
- Ask the agent to review the changes for security, performance, testing, and design.
What this skill tells your AI
The instructions your AI receives, as published by davila7/claude-code-templates in cli-tool/components/skills/sentry/code-review/SKILL.md and read by ahel’s 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
# 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
// Bad: Missing dependency in useEffect
useEffect(() => {
fetchData(userId);
}, []); // userId not in deps
// Good: Include all dependencies
useEffect(() => {
fetchData(userId);
}, [userId]);
Security
# 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
Signals
- GitHub stars
- 32k
- Forks
- 4k
- Last commit
- Oct 2026
Questions
- What does the code review skill cover?
- It covers security, performance, testing, and design review, following Sentry engineering practices.
- When should the code review skill be used?
- Use it when reviewing pull requests, examining code changes, or providing feedback on code quality.
- Does it follow a particular set of review practices?
- Yes. It follows Sentry engineering practices.
- Can it review a single code change instead of a whole pull request?
- Yes. It can be used when examining code changes, not only full pull requests.
- What kind of feedback does it give?
- It gives feedback on code quality across security, performance, testing, and design.
Advanced
- Item type
- skill
- Key
code-review-davila7- Source
- github.com/davila7/claude-code-templates
github.com/davila7/claude-code-templates
Related picks
Skill · wshobson
The pick for Pythonpython-pro
Skill · jeffallan
The pick for Pythonsetup-ts-deep-modules
Skill · mattpocock
The pick for TypeScripttypescript-pro
Skill · jeffallan
The pick for TypeScriptintegration-django
Skill · posthog
The pick for Djangodjango-application
Skill · aj-geddes
The pick for Django