The survey of over 1,100 developers reveals significant insights into how generative AI is reshaping software engineering. Trust in AI remains low, with many developers skeptical about the reliability of AI-generated outputs. Despite this skepticism, AI is increasingly integrated across various software projects, even those deemed mission-critical. Security concerns dominate developers' worries regarding AI adoption, highlighting the need for careful management of risks. Experience plays a crucial role in how developers interact with AI. Those with more years in the field tend to have different perspectives compared to novices. Interestingly, the survey found that the level of repetitive work, or "toil," remains consistent regardless of whether developers frequently use AI tools. Less than half of the respondents reported always verifying AI-generated code before committing it, pointing to a gap in trust and oversight. The report emphasizes the advantages of automated verification, particularly for users of SonarQube, which enhances the efficiency of the development lifecycle. SonarQube users indicated a stronger return on investment from AI coding tools, suggesting that combining code generation with robust verification processes leads to better outcomes. With over 7 million users, SonarQube claims to be the only solution that comprehensively integrates quality and security analysis for AI-generated code.