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Fundamentals
8 min read
Updated January 2025

Complete Guide to Code Review

Master the fundamentals of effective code review. Learn proven processes, techniques, and best practices that top development teams use to maintain code quality and knowledge sharing.

What is Code Review?

Code review is the systematic examination of code changes by peers before they're merged into the main codebase. Here's what actually happens:

Typical Review Flow

git push origin feature-branch
Developer pushes changes
Create Pull Request
Request peer review
Reviewer examines diff
Line-by-line analysis

What Reviewers Check

  • Logic correctness
  • Edge case handling
  • Security vulnerabilities
  • Performance implications
  • Code style consistency

Review Outcomes

  • Approve: Code is ready to merge
  • Request Changes: Issues need fixing
  • Comment: Suggestions, no blocking

Why Code Review Matters

Bug Prevention: Real Example

# Developer's original code:
def calculate_shipping(weight, distance):
  base_rate = 5.00
  weight_rate = weight * 0.5
  distance_rate = distance / 100
  return base_rate + weight_rate + distance_rate
Reviewer spotted: "What happens if distance is 0? Division by zero will cause an error."
# Fixed version:
distance_rate = max(distance, 1) / 100 # Minimum 1 mile

Knowledge Sharing: Learning Opportunity

Junior Developer: "I used a for loop to filter the list."
active_users = []
for user in all_users:
  if user.is_active:
    active_users.append(user)
Senior Reviewer: "Great logic! Python has a more concise way to do this:"
active_users = [user for user in all_users if user.is_active]
# List comprehension - more Pythonic and faster

Security: Vulnerability Caught

# Original code (vulnerable):
@app.route('/user/<user_id>')
def get_user(user_id):
  query = f"SELECT * FROM users WHERE id = {user_id}"
  return db.execute(query).fetchone()
Security Review: "SQL injection risk! User input goes directly into query. Use parameterized queries."
# Secure version:
query = "SELECT * FROM users WHERE id = ?"
return db.execute(query, (user_id,)).fetchone()

Effective Review Process

📝 For Code Authors

1. Write Clear PR Descriptions

Example PR Description:

What: Add user authentication to API endpoints

Why: Security requirement for v2.0 release

How: JWT tokens with 24h expiration, middleware validation

Testing: Added unit tests for auth middleware, manual testing with Postman

Risks: Breaking change - clients need to include Authorization header

2. Keep Changes Focused

❌ Bad: Too Many Changes
• Add user auth
• Refactor database layer
• Update CSS styling
• Fix unrelated bug
Files changed: 47
✅ Good: Single Purpose
• Add JWT authentication
• Update auth middleware
• Add auth tests
Files changed: 4

👀 For Code Reviewers

Review Checklist

🔍 Logic & Functionality
  • • Does the code do what it's supposed to?
  • • Are edge cases handled?
  • • Will it handle unexpected input?
  • • Are error conditions covered?
🛡️ Security & Performance
  • • Input validation present?
  • • No SQL injection risks?
  • • Sensitive data encrypted?
  • • Expensive operations optimized?

How to Give Good Feedback

❌ Vague Feedback
"This doesn't look right"
"Bad performance here"
"Fix this"
✅ Specific Feedback
"This function doesn't handle null input. Add validation."
"N+1 query problem. Consider using JOIN or batch loading."
"Missing error handling for API timeout scenarios."

Common Code Review Pitfalls

Nitpicking on Style

Problem:
Spending time on formatting instead of logic
Solution:
Use automated formatters (Prettier, Black, gofmt)
Example:
Don't review: 'Use single quotes' | Do review: 'Missing null check'

Review Fatigue

Problem:
Large PRs get rubber-stamp approvals
Solution:
Limit PR size to <400 lines of changes
Example:
Break 'User Management System' into 'Add User', 'Edit User', 'Delete User'

Lack of Context

Problem:
Reviewers don't understand the business need
Solution:
Include ticket links and business context in PR
Example:
Link to requirements doc, explain user story

Personal Preferences

Problem:
Arguments about subjective code style
Solution:
Document team standards, focus on functionality
Example:
Team style guide resolves 'map() vs for loop' debates

Tools & Workflow Integration

Platform Features

GitHub

  • • Pull request templates
  • • Required reviewers
  • • Branch protection rules
  • • Inline comments

GitLab

  • • Merge request approvals
  • • Approval rules
  • • Code quality reports
  • • Security scanning

Automation Helpers

Pre-commit Checks

# .pre-commit-config.yaml
- repo: local
  hooks:
  - id: tests
    name: run tests
    entry: pytest
    language: system

CI/CD Integration

  • • Automated test runs
  • • Code coverage reports
  • • Security scans
  • • Performance benchmarks
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