Structuring Code Review Prompts
The quality of AI code review depends heavily on how you ask. A good prompt tells AI what language, what framework, what to focus on, and what your code does.
The Review Prompt Template
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Context Matters
Compare these two prompts:
Bad: No Context
"Review this code"
function process(data) {
return data.filter(x => x > 0).map(x => x * 2);
}
AI has no idea what this does or what matters.
Good: With Context
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Specifying Focus Areas
Different reviews need different focuses:
| Review Type | Focus Areas |
|---|---|
| Security | Input validation, SQL injection, XSS, auth checks |
| Performance | Time complexity, memory usage, unnecessary operations |
| Readability | Naming, comments, function length, complexity |
| Bugs | Edge cases, null handling, type errors |
| Best Practices | Design patterns, framework conventions |
Key Takeaway
Always provide: the language, the purpose, who uses it, and what you want the review to focus on. The more context you give, the more useful the review.

