AI-powered code review for smart contracts can:

1. _Identify syntax errors_: AI can detect syntax errors, typos, and formatting issues in the code.

2. _Check for consistency_: AI can ensure consistency in coding styles, naming conventions, and indentation.

3. _Detect logical errors_: AI can identify logical errors, such as incorrect conditional statements or loops.

4. _Enforce best practices_: AI can check for adherence to established best practices, such as secure coding guidelines.

5. _Analyze code complexity_: AI can evaluate code complexity, identifying areas that may be difficult to maintain or understand.

6. _Check for security vulnerabilities_: AI can identify potential security vulnerabilities, such as reentrancy attacks or unsecured variables.

7. _Review comments and documentation_: AI can ensure comments and documentation are accurate, up-to-date, and follow established conventions.

8. _Check for compliance with standards_: AI can verify compliance with established coding standards, such as Solidity or Vyper.

9. _Identify redundant or unused code_: AI can detect redundant or unused code, suggesting opportunities for refactoring.

10. _Provide actionable feedback_: AI can offer actionable feedback and suggestions for improvement, enabling developers to refine their code.

By leveraging AI-powered code review, developers can ensure their smart contract code is error-free, consistent, and follows best practices, resulting in high-quality code that is secure, efficient, and maintainable.