Show HN: I made Claude quiz me on my own code before showing it (github.com)

A developer has unveiled a novel skill integrated with the AI assistant Claude that enhances the coding process by facilitating active engagement with the AI. Instead of merely generating code, Claude prompts users to predict potential behaviors and design choices before revealing solutions. This innovative approach addresses the prevalent issue of "comprehension debt," where coders may approve solutions without fully understanding the reasons behind their design, which can lead to significant problems down the line. The skill adapts to user engagement, ensuring that developers maintain a clear understanding of their decisions at each step of the coding process. This development is significant for the AI/ML community as it emphasizes a shift from passive consumption of code to active learning and comprehension. Key features include structured planning, trade-offs discussed before coding, and checkpoints designed to keep the user engaged. By promoting prediction moments and summarizing key decisions, Claude not only reinforces learning but also ensures that developers can defend their design choices effectively in code reviews. This focus on understanding and decision-making over mere code generation could revolutionize how developers interact with AI, making it a powerful tool in programming education and practice.