Part 2/10:
A growing body of research reveals that rather than fully transforming the coding landscape, AI tools are introducing a host of new challenges. For instance, a recent study conducted by UpLevel examined over 800 developers using AI coding assistants like GitHub Copilot. The findings highlighted a troubling issue: the usage of these AI tools resulted in a striking 41% increase in buggy code. While AI offers the promise of quicker code generation, the reality is that developers spend increased time fixing errors, thereby negating any perceived efficiency gains.