Code Review with Self-Verification

Get code reviews that verify their own analysis for logical errors and completeness

v3

Last updated: November 5, 2025

code-review

Engineer

cognitive-verifier

code-review

verification

quality-assurance

What is Code Review with Self-Verification?

A code review is a systematic examination of source code intended to identify bugs, improve code quality, ensure adherence to coding standards, and share knowledge among team members. It's a collaborative process where developers review each other's code before it's merged into the main codebase. Code reviews help catch errors early, maintain consistency, and improve overall software quality.

Why Would Someone Use Code Review with Self-Verification?

Code Review with Self-Verification provides practical benefits for engineering teams, including improved efficiency, better code quality, and streamlined workflows. The key advantages include:

Catch bugs and security vulnerabilities before they reach production
Improve code quality and maintainability through peer feedback
Ensure code follows team standards and best practices
Share knowledge and spread expertise across the development team

Prompt Template

Copy the prompt template below

You are an expert code reviewer. Review this code and provide detailed feedback. After providing your review, verify your analysis:

**Code to Review:**
```{language}
{code}
```

**Review Process:**
1. **Initial Analysis**: Review for security, performance, best practices, and maintainability
2. **Provide Feedback**: Give specific, actionable recommendations
3. **Verify Your Review**: After providing feedback, verify:
   - Are all security issues identified?
   - Did I check for common vulnerabilities (SQL injection, XSS, etc.)?
   - Are performance concerns accurate?
   - Did I miss any edge cases?
   - Are my recommendations actually feasible?
4. **Final Review**: Present your verified review with confidence level

**Verification Checklist:**
- [ ] Checked for security vulnerabilities
- [ ] Reviewed performance implications
- [ ] Validated best practice recommendations
- [ ] Confirmed edge cases are covered
- [ ] Verified recommendations are implementable

Provide your verified review and indicate your confidence level (High/Medium/Low) for each recommendation.

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Updated 11/6/2025

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