What are the best practices for using AI in code reviews?

What are the best practices for using AI in code reviews?

Some best practices include ensuring AI tools are trained on relevant codebases, integrating them into existing workflows, and using them to complement human reviewers.

How can I ensure the AI understands my codebase?

You can ensure this by providing the AI with access to a diverse set of code examples and documentation specific to your project.

What are the limitations of AI in code reviews?

AI may struggle with understanding context, complex logic, or project-specific conventions, so human oversight is essential.

Can AI help with identifying security vulnerabilities?

Yes, AI can assist in identifying common security vulnerabilities by analyzing patterns and known issues in the code.

How do I choose the right AI tool for code reviews?

Consider factors like integration capabilities, the specific features offered, user feedback, and how well it aligns with your team's needs.