Why do new AI coding assistants fail 'silently' more often?

The article discusses the importance of code quality in the context of artificial intelligence (AI) development. The authors point out that increasing automation in coding processes could lead to reduced standards and quality in the applications being created. This phenomenon is linked to a growing dependency of programmers on AI-based tools, which can introduce errors or inappropriate solutions. It is crucial for developers to maintain accountability for the quality of their code, even when utilizing such technologies. Continuous skill improvement and knowledge enhancement in programming are also essential, coupled with frequent code reviews to minimize risks. In conclusion, the article emphasizes that while modern tools can be beneficial, we should not rely on them uncritically.