Code Review with AI: Helpful, Calm, and Human

Code review can be slow. AI can help you focus on what matters, while you keep the final say.

How AI helps reviews

• Summarizes changes in simple words
• Highlights risky parts (security, perf, broken tests)
• Suggests small fixes or better names

A simple workflow

1. Ask for a high-level summary: “What changed and why might it matter?”
2. Ask for 3 risks and 3 test ideas.
3. Ask for 1–2 small improvements you can do now.
4. You decide. You own the review.

Example prompts (no secrets)

• “Summarize this diff. Point out risky areas for security or performance.”
• “Suggest test cases for the new function. Keep it short.”
• “Propose clearer names for these variables.”

Keep it respectful

• Use AI to help, not to shame.
• Praise what’s good. Ask questions where unsure.
• Be specific: one concrete suggestion beats vague comments.

Common pitfalls

• Letting AI approve PRs. Don’t.
• Overloading comments. Focus on impact.
• Blindly trusting suggestions. Run tests.

Key takeaways

• AI makes review faster and calmer.
• You own the judgment and the merge.
• Keep it human: clear, kind, and constructive.