'I can't stop': 80% of developers find AI coding more addictive than helpful (www.zdnet.com)

A recent survey reveals a troubling trend in the developer community: 80% of programmers feel that their use of AI coding tools has become more of a dependency than a benefit. While tools like GitHub Copilot and Claude Code boost productivity by generating boilerplate code and troubleshooting, they have also fostered a new type of workaholism, with many developers working late into the night, sometimes even sacrificing sleep. This "always-on" work culture can lead to burnout, as programmers find it difficult to disconnect from the constant feedback loop of AI-generated tasks. The implications for the AI/ML community are significant, raising concerns about job satisfaction and productivity. As AI tools become more integrated into workflows, the fine line between assistance and over-reliance blurs. Developers report experiencing "verification debt," needing to ensure AI outputs are correct and secure, adding to their workload. Furthermore, there’s a growing skepticism about AI reliability, with trust in its accuracy declining sharply. As teams increasingly leverage AI for quicker results, they risk accelerating existing pressures in software development, posing critical questions about maintaining a healthy work-life balance within the industry.