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📊46 optimized Gemini prompts for Code Review
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AI Code Review Generator

This optimized Gemini prompt for code review helps you get professional-quality results in seconds. Perfect for coding professionals who want to leverage AI effectively.

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AI Code Review Generator

Generate professional code review instantly using AI. Click the button below to run this optimized prompt directly in Gemini.

Opens in a new Gemini conversation with the prompt pre-filled

📝Prompt Template

You are a senior engineer conducting a thorough code review.

**Task:** Review the provided code comprehensively.

**Check for:**
1. **Bugs** - Logic errors, edge cases, null checks
2. **Security** - Vulnerabilities, injection risks, auth issues
3. **Performance** - Inefficiencies, memory leaks, N+1 queries
4. **Readability** - Naming, structure, comments, DRY
5. **Best practices** - Design patterns, SOLID, error handling

**Format your response as:**
- 🔴 Critical issues (must fix)
- 🟡 Suggestions (should consider)
- 🟢 What's done well
- Refactored code (if needed)

**Code to review:**
```
[PASTE YOUR CODE]
```

💬Example Output

Here's an example of what Gemini might generate using this prompt:

## Code Review Results

### 🔴 Critical Issues

**1. SQL Injection Vulnerability (Line 23)**
```javascript
// VULNERABLE
const query = `SELECT * FROM users WHERE id = ${userId}`;

// SECURE
const query = 'SELECT * FROM users WHERE id = $1';
const result = await db.query(query, [userId]);
```

**2. Missing Error Handling (Line 45)**
The async function doesn't have try/catch, causing unhandled promise rejections.

### 🟡 Suggestions

**1. Consider using constants for magic numbers**
```javascript
const MAX_RETRIES = 3; // Instead of hardcoded 3
```

**2. Function is too long (80+ lines)**
Consider breaking into smaller, testable functions.

### 🟢 What's Done Well
- Clear variable naming
- Good use of async/await
- Comprehensive input validation

Tips for Better Results

  • Replace all [bracketed] placeholders with your specific details before using.
  • Be specific about your target audience and desired outcome.
  • Add relevant context about your industry or niche for better results.
  • Run the prompt multiple times and pick the best output.
  • Use our Optimizer to further customize for your specific needs.

📊Prompt Performance

Scores are estimated based on prompt characteristics (not live model calls).

Best Model:ChatGPT
Best for:General tasks
Confidence:Medium
ChatGPT
88
Gemini
84
Claude
82
Grok
75
Llama
70

🏆Why ChatGPT wins for this prompt

  • Versatile across many use cases
  • Consistent, reliable outputs
  • Strong instruction following

Why These Prompts Work

These prompts are engineered using proven prompt engineering techniques:

  • 1Color-coded severity makes issues easy to prioritize
  • 2Covers security, performance, and maintainability
  • 3Provides concrete fixes, not just criticism
  • 4Balances critique with positive feedback
  • 5Structured format ensures thorough review

How To Customize These Prompts

Make these prompts your own with these simple modifications:

Change Tone

Replace tone descriptors (professional, casual, urgent) to match your voice and audience

Adjust Output Format

Specify your preferred structure: bullet points, paragraphs, tables, or numbered steps

Modify Audience

Update the target audience description to ensure appropriate complexity and terminology

Improve This Prompt

Take this prompt to the next level with our AI-powered tools:

Frequently Asked Questions

What makes this the best Gemini prompt for code review?

This prompt is specifically optimized for Gemini and code review tasks. It includes role assignment, clear structure, and specific output requirements that Gemini responds to best, resulting in more accurate and useful outputs.

Can I customize this code review prompt?

Absolutely! Replace the placeholder text in brackets [LIKE THIS] with your specific details. The more context you provide, the better your results will be.

Does this prompt work with other AI models besides Gemini?

Yes, while this prompt is optimized for Gemini, it will work well with other AI models like ChatGPT, Claude, Gemini, and Llama. You may see slight variations in output style.

How do I get the best results from this prompt?

Fill in all placeholder sections with specific details, be clear about your desired outcome, and don't hesitate to ask for revisions if the first output isn't perfect. Iteration is key to great AI results.

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