The author recounts their experience developing a design system, detailing five iterations that failed to gain adoption. Initially, the system was presented as a design file, then a guide site, and subsequently an npm package. Recognizing that users often don't read documentation or perform setup, the author explored using AI models to interpret the design rules and eventually integrated an MCP server for automatic setup. The core lesson learned is that if a tool requires explicit selection or setup, it is unlikely to be adopted, especially when users prefer to stick to their existing workflows, such as directly asking an AI. AI
IMPACT Highlights the challenge of integrating AI tools into existing developer workflows and the importance of seamless setup.
RANK_REASON The item is a personal reflection on product development and adoption challenges, not a release or significant industry event.
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