Streamline your code review process with AI-powered prompts. These prompts help you catch bugs, enforce best practices, identify security issues, and provide constructive feedback faster than ever.
In short: The best code review prompts include your specific context, define the expected output format, and mention the tools or frameworks involved. Browse the curated collection below and customize any prompt to your workflow.
Catch bugs and security issues before they reach production
Ensure consistent code quality across your team
Save hours on manual code review tasks
Get detailed explanations for every suggestion
Conduct effective weekly reviews
Structure QBRs effectively
Get thorough code reviews with actionable feedback on performance, security, and best practices.
Write constructive performance reviews
Audit code for security vulnerabilities
Conduct annual reviews
Write crisis communication messages
Get thorough code reviews with actionable feedback on performance, security, and best practices.
Write newsworthy press releases
Include the programming language and framework context
Specify your coding standards or style guide
Ask for severity levels on issues found
Request explanations, not just fixes
No. AI is excellent for catching common issues, enforcing standards, and providing quick feedback. However, human reviewers are essential for understanding business context, mentoring junior developers, and making architectural decisions.
Claude 3.5 Sonnet and GPT-4 both excel at code review. Claude tends to be more thorough with explanations, while GPT-4 is excellent at identifying edge cases. For IDE integration, Cursor and Windsurf provide seamless workflows.
Include your coding standards or style guide in the prompt. You can reference specific guidelines (like PEP 8 for Python) or paste your custom rules. For persistent standards, use a .cursorrules or similar configuration file.
Browse our complete prompt library or contribute your own.