code-review-checklist

Source code security checks for AI risks include auditing for prompt injection vulnerabilities, verifying chain of thought logic, and preventing hallucinations. This checklist provides specific guidelines to identify these vulnerabilities and ensure secure prompt engineering practices during code reviews.

A comprehensive code review checklist for software quality should verify correctness, proper error handling, and edge case management. It must also assess performance efficiency, readability, and adherence to DRY and SOLID principles to maintain high standards.

Comment conventions flag blocking issues during code review by using specific markers for suggestions, nits, and questions. This checklist guides the use of these conventions to clearly communicate severity and categorize feedback within source code files.

Yes, you can integrate a code review checklist into a CI/CD pipeline to automatically flag potential issues before code is merged. This automated application of review guidelines improves overall software reliability and security by enforcing standards continuously.

Yes, security auditing during code reviews explicitly checks for common vulnerabilities like injection attacks and hardcoded secrets. The checklist ensures these critical security flaws are identified and resolved before deployment, safeguarding the application.

The best way to verify code correctness is by applying a checklist that confirms code functions as intended and handles edge cases properly. It also ensures adequate test coverage and clear documentation are present to validate functionality.