What are common issues that can occur in AI-generated code, and how should a developer properly handle them?

Common issues with AI-generated code:

• Logic and syntax errors. AI may generate code with incorrect logic or syntax mistakes.
• Lack of optimization and idiomaticity. The code may be inefficient or not follow best Go practices.
• Security. Vulnerabilities may exist, such as improper error handling or input validation.
• Lack of comments and documentation. Difficult to understand the intentions behind the code.

How to properly work with such code:

1. Thoroughly review and test. Do not use generated code without review and writing tests.
2. Refactor. Improve readability, structure, and performance.
3. Understand the essence. Do not copy blindly, but understand what the code does.
4. Use as a basis. AI helps with templates, but the responsibility for quality lies with the developer.

Example: if AI generates a function to handle HTTP requests, check error handling, data validation, and security.