The Risks and Best Practices of AI-Assisted Coding

In the age of increasingly prevalent AI-assisted coding, blindly relying on AI-generated code can lead to significant risks. This article highlights that neglecting to review AI-generated code can result in architectural decay, a loss of understanding of code implementation, and the introduction of security vulnerabilities. The author advises developers to differentiate between asynchronous and synchronous tasks, employing a synchronous collaborative coding approach for core functionalities—instantly checking and correcting AI suggestions to ensure code quality and security. Ultimately, the author stresses that AI is a developer's assistive tool, not a replacement, and understanding the code remains the core responsibility of developers.