Why AI Code Review Works

AI code review isn't about replacing human reviewers - it's about catching different types of issues and getting a fresh perspective on your code.

What AI Catches That Linters Don't

Linters check syntax and style. AI can analyze:

• Logic errors - "This loop will never terminate because..."
• Edge cases - "What happens when the array is empty?"
• Security issues - "This SQL query is vulnerable to injection"
• Code smells - "This function does too many things"
• Missing error handling - "What if this API call fails?"

When to Use AI Review

Good Use Cases

• Before submitting a PR for human review
• Learning a new language or framework
• Checking unfamiliar code you inherited
• Security-sensitive code
• Complex business logic

Not a Replacement For

• Human code review (AI misses context)
• Linters and formatters (use both)
• Unit tests (AI can suggest tests, but run them)
• Team knowledge sharing

The AI Review Workflow

1. Write your code - Get it working first
2. Run linters - Fix obvious issues automatically
3. AI review - Get feedback on logic, security, style
4. Fix issues - Address what AI found
5. Human review - Final check by a teammate

Key Takeaway

Think of AI as a knowledgeable colleague who can give you a quick review at 3 AM. It catches things you might miss when you're deep in the code, but it doesn't replace the context and expertise your team brings.