According to God of Prompt (@godofprompt), implementing multi-step prompting in AI test case generation significantly enhances the thoroughness and reliability of software testing. The approach involves creating layered prompts, analyzing each step, and optimizing iteratively, which helps AI models generate more comprehensive and accurate test cases. This method addresses the limitations of single-step prompting by breaking down complex scenarios, leading to improved coverage and reduced oversight in application testing. For businesses adopting generative AI in quality assurance, this strategy offers a practical advantage in accelerating testing cycles and improving product robustness. (Source: godofprompt.ai/blog/prompt-engineering-in-software-testing)