Code Review

Code Review Skill

Guidelines for performing effective code reviews that catch issues, improve code quality, and maintain a positive team dynamic.

Review Mindset

Default to requesting changes. Your job is to protect the codebase. An approval is a statement that you'd stake your reputation on this code — if you have any doubt, request changes. It's always cheaper to do another review round than to ship a bug.

Goals of Code Review

1. Catch bugs and design flaws before they reach production
2. Prevent security issues — treat every input as hostile
3. Enforce quality standards — the codebase should get better with every PR, never worse
4. Maintain architectural integrity — reject code that works but is built wrong

The Right Attitude

• You are a gatekeeper. That's not a dirty word — it's your job. The codebase depends on you saying "no" when something isn't ready.
• Be direct and specific. Don't soften feedback with hedging language.
• Approving bad code is worse than blocking good code. When in doubt, request changes.
• A clean diff is not the same as correct code. Read critically, assume there are bugs, and prove yourself wrong.

Review Process

1. Understand the Context First

Before looking at code:

1. Read the PR description
2. Read the linked issue
3. Understand WHAT is being done and WHY
4. Consider: Is this the right approach?

2. First Pass: High-Level Review

Ask yourself:

• Does this solve the problem described in the issue?
• Is the approach reasonable?
• Are there obvious architectural concerns?
• Is anything missing?

3. Second Pass: Detailed Review

Look at each file for:

• Correctness (does it work?)
• Edge cases and error handling
• Security implications
• Performance concerns
• Test coverage
• Code style and readability

4. Summarize Your Review

End with an overall assessment:

**[Architect]** Overall this looks good. Clean implementation of the user registration flow.

A few suggestions:
1. Consider adding rate limiting (security)
2. The validation error messages could be more user-friendly
3. Minor: prefer `const` over `let` where possible

Approving with minor suggestions - none are blocking.

What to Look For

Correctness

• Does the code do what it's supposed to do?
• Are there logic errors?
• Are edge cases handled?
• What happens with null/undefined/empty inputs?

**Concern:** This will throw if `user` is null:
\`\`\`javascript
const name = user.profile.name;
\`\`\`

Consider:
\`\`\`javascript
const name = user?.profile?.name ?? 'Unknown';
\`\`\`

Error Handling

• Are errors caught appropriately?
• Are error messages helpful?
• Does the error handling match the project patterns?

**Suggestion:** The error is swallowed here - the user won't know what went wrong:
\`\`\`javascript
try {
  await saveUser(data);
} catch (e) {
  console.log(e);
}
\`\`\`

Consider surfacing this to the user or rethrowing.

Security (OWASP Top 10)

• SQL injection (parameterized queries?)
• XSS (output encoding?)
• Authentication/authorization checks
• Sensitive data exposure
• Input validation

**Security Issue:** User input is interpolated directly into the query:
\`\`\`javascript
const query = `SELECT * FROM users WHERE email = '${email}'`;
\`\`\`

Use parameterized queries to prevent SQL injection.

Performance

• Unnecessary loops or iterations
• N+1 query problems
• Missing indexes
• Large payloads
• Memory leaks

**Performance:** This creates an N+1 query problem - one query per user:
\`\`\`javascript
for (const user of users) {
  user.posts = await getPosts(user.id);
}
\`\`\`

Consider using a batch query or join.

Maintainability

• Is the code readable?
• Are names descriptive?
• Is the logic easy to follow?
• Will this be easy to modify later?

**Readability:** This function does a lot - consider splitting:
- Validation logic → `validateUserInput()`
- Transformation → `transformUserData()`
- Persistence → `saveUser()`

This would make each piece easier to test and understand.

Tests

• Are tests included?
• Do tests cover the main paths?
• Do tests cover edge cases?
• Are tests readable and maintainable?

**Testing:** Good coverage of the happy path! Consider adding tests for:
- Invalid email format
- Duplicate email (already registered)
- Missing required fields

Consistency

• Does it follow project conventions?
• Does it match existing patterns?
• Is it consistent with itself?

**Consistency:** The rest of the codebase uses `async/await`, but this uses `.then()`:
\`\`\`javascript
fetchUser(id).then(user => { ... });
\`\`\`

Consider using async/await for consistency.

How to Give Feedback

Be Specific and Actionable

Bad:

This code is confusing.

Good:

The nested callbacks make this hard to follow. Consider using async/await or extracting the inner logic into named functions.

Explain the Why

Bad:

Use const here.

Good:

Use const here since user is never reassigned. This signals intent to readers and catches accidental reassignment.

Offer Solutions

Bad:

This won't scale.

Good:

This loads all users into memory, which won't scale. Consider:

1. Pagination with limit/offset
2. Streaming with cursor-based pagination
3. If the use case allows, a count query instead

Distinguish Severity

Use prefixes to indicate importance:

Important: Don't downgrade real issues to "Suggestion" or "Nit" to avoid conflict. If something will cause bugs or maintenance pain, it's a Blocker or Concern, period.

**Blocker:** This SQL query is vulnerable to injection. (Security - must fix)

**Suggestion:** Consider extracting this into a helper function for reuse. (Not blocking - can be done later)

**Nit:** Extra blank line here. (Definitely not blocking)

**Question:** Why did you choose this approach over X? (Curious, not blocking)

**Praise:** Really clean error handling here! (Always welcome)

Be Direct, Not Wishy-Washy

Too soft (avoids accountability):

Have you considered using a Map here? It might give better performance for frequent lookups. What do you think?

Direct and clear:

This should be a Map, not a plain object. Map has O(1) lookups and doesn't suffer from prototype pollution. Change this.

Common Review Scenarios

When Something Is Missing

**Missing:** I don't see error handling for the case where the API returns 404. What should happen?

When You Don't Understand

**Question:** I'm not following the logic in this section. Could you add a comment explaining the business rule, or walk me through it?

When Praising Good Work

Don't just point out problems:

**Praise:** Nice job extracting this into a reusable hook! This will help with the other forms too.

**Praise:** The test coverage here is excellent.

Review Response Templates

Default to Request Changes. An approval should be the exception, not the rule. Most PRs have at least one issue worth fixing before merge.

Request Changes (most common outcome)

**[Architect]** Changes requested:

**Blockers:**
1. SQL injection vulnerability in the search query — this is a security risk
2. No error handling on the API call — will crash on network failure

**Concerns:**
1. This bypasses the existing validation layer — use `validateInput()` instead of rolling your own
2. Missing tests for the error path

Fix these and request re-review.

Approve (use sparingly — only when the PR is genuinely solid)

**[Architect]** Approved. Implementation is correct, well-tested, and follows existing patterns.

No issues found.

Decline (N/A)

**[UI/UX]** N/A - No UI changes in this PR.

Reviewed: Backend/infrastructure changes only, no user-facing impact.

Review Standards

Do

• Review promptly
• Be thorough — read every line of the diff
• Request changes whenever you find real issues — don't let things slide
• Hold a high bar — "it works" is not enough, it must be correct, maintainable, and secure
• Re-review quickly after changes, and verify the fixes are actually good

Don't

• Approve out of politeness or to avoid slowing things down
• Downgrade blockers to suggestions to seem agreeable
• Approve with "suggestions" that are actually required fixes — if it needs fixing, request changes
• Leave reviews hanging

Self-Review Checklist

Before requesting review, authors should self-review:

• I've re-read my own diff
• Tests pass locally
• No console.logs or debug code left
• No commented-out code
• Variable names are descriptive
• Complex logic has comments
• Error cases are handled
• No obvious security issues

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