AI-generated code offers benefits like faster delivery and increased productivity but often contains significant flaws like hallucinated functions and security vulnerabilities.
Developers continue to use AI-generated code due to prioritizing speed over code quality and business needs for rapid product releases.
AI-generated code can be flawed and create security challenges, slowing down development speed and affecting long-term maintainability.
Despite its drawbacks, developers find AI code generation useful in specific applications for productivity and fulfilling job roles, emphasizing the need for a layered approach to verify and learn from AI errors.