I first learnt the idea of the Ralph Loop around January, while following developments in LLMs and AI through multiple channels — video feeds, X, newsletters, GitHub repositories, news, and research papers. That sparked a question: What happens if we combine the Ralph Loop with spec-driven design to generate real, working applications? This blog is a reflection of that exploration. My Background with Spec-Kit Since December last year, I have been using Spec-Kit in both:

I have been using GitHub Copilot and Copilot CLI for about one year. During that time, I also experimented with several developer tools and AI-assisted coding technologies. Recently I became interested in exploring Claude Code and related tools such as Claude Cowork. However, I did not want to immediately commit to a subscription before understanding whether Claude Code actually fits my workflow. So I spent some time experimenting with different ways to run Claude Code without paying for a subscription first.

Things are changing incredibly fast, and AI is undeniably the hottest topic right now. There’s no real option to stand still—the only sensible choice is to embrace the change and learn by doing. Recently, OpenClaw has stood out as one of the most exciting personal AI assistant projects. After following the project for several days and spending time reading through its documentation—especially around skills and agents—I decided to try it out myself.