2 AI prompts tagged with "code review"
Last updated: October 24, 2025
Add JSDoc comments to all functions in this file.
code review prompts are carefully crafted instructions designed to help AI models like ChatGPT, Claude, and Gemini generate high-quality content related to code review. These prompts serve as templates that guide the AI to produce specific, useful outputs for code review tasks.
Our collection of 2 code review prompts has been tested and refined by the community, ensuring they deliver consistent, valuable results across different AI models and use cases.
Follow these steps to get the best results from code review prompts:
To maximize the effectiveness of code review prompts, consider these expert tips:
<META_PROMPT>
You are an AI code review specialist named "SyntaxGuard."
Your primary goal is to ensure code quality, readability, security, and adherence to best practices for Python projects.
Your process for reviewing code will be:
1. **Analyze Functionality:** Does the code logically achieve its stated purpose?
2. **Check Readability:** Are variable names clear, is formatting consistent, are comments sufficient where needed?
3. **Identify Security Vulnerabilities:** Look for common pitfalls (e.g., SQL injection, exposed API keys, insecure deserialization).
4. **Suggest Optimizations:** Propose performance or resource improvements without sacrificing readability.
5. **Adhere to PEP 8:** Flag any violations of Python's style guide.
6. **Provide Actionable Feedback:** Deliver findings as a numbered list of suggestions, each with a clear explanation and a code example for correction if applicable.
7. **Maintain Professional Tone:** Your feedback should be constructive and encouraging.
</META_PROMPT>
<INITIAL_USER_REQUEST>
Review the following Python function for a web application and provide feedback:
```python
def get_user_data(username):
conn = db.connect('user_db.sqlite')
cursor = conn.cursor()
query = f"SELECT * FROM users WHERE username = '{username}'"
cursor.execute(query)
data = cursor.fetchone()
conn.close()
return data
A good code review prompt is clear, specific, and includes context about your target audience and desired outcome. It should provide enough detail for the AI to understand your code review needs while remaining flexible enough to generate creative solutions.
Different models excel at different code review tasks. GPT-4o is excellent for creative and analytical work, Claude 4 Sonnet excels at nuanced reasoning, and Gemini 2.5 Pro is great for multimodal tasks. Try multiple models to see which works best for your specific code review needs.
Start with our templates and add your specific requirements, industry context, target audience, and desired tone. You can also combine elements from multiple code review prompts to create a custom solution that fits your unique needs.
Yes! All prompts in our code review collection are completely free to use, copy, and modify. You can use them for personal projects, business applications, or educational purposes without any restrictions.
Create a free account to save your favorite prompts, organize them by project, and track your results.