Developers Find AI Coding Tools Addictive but Exhausting

Programmers find AI tools like GitHub Copilot, Claude Code, and Cursor to be addictive but exhausting. [1] Developers increasingly use these applications to generate boilerplate, explain unfamiliar code, draft tests, refactor modules, and troubleshoot errors. [1] However, overall coding speed can be lost due to delays in fixing AI-written code. [1] Furthermore, AI programming tools can lead to programmer workaholism and burnout. [1] Quentin Rousseau, CTO of the incident report company Rootly, noted in a LinkedIn post that he found himself watching Claude Code refactor a module at 2:47 a.m., stating that he could not stop. [2]

While tools like GitHub Copilot and Cursor are adopted to speed up developer workflows, the requirement to fix AI-written errors can negate these efficiency gains. The phenomenon of AI-induced workaholism suggests that the immediate gratification of watching tools like Claude Code refactor modules may contribute to burnout rather than sustainable productivity. What the sources don't address: whether the 80% figure cited in the headline is based on a formal survey of developers or anecdotal sentiment.