A developer reports that the most impactful tool in their AI-assisted coding workflow over the past three months is not a new model but a custom skill called 'grill-me' for agents like Claude Code and Cursor. The skill works by forcing the AI to interrogate the developer's requirements before writing any code, asking clarifying questions and identifying potential issues. This pre-coding validation dramatically reduces the number of rewrite cycles, saving significant time and effort. The approach reflects a broader shift in AI-assisted development: moving from simple code generation to structured, collaborative problem-solving. For teams and individual developers using AI coding agents, adopting a similar 'grill' pattern could improve output quality and reduce frustration. The skill is a practical example of how prompt engineering and workflow design can enhance AI tool effectiveness beyond model improvements.
A developer shares how a custom skill called 'grill-me' for AI coding agents like Claude Code and Cursor has been the most impactful tool in the past three months. The skill forces the AI to rigorously question and validate requirements before generating any code, significantly reducing the number of rewrite cycles. This pattern highlights a growing trend of using AI not just for generation but for structured requirement analysis.