Vercel's attempt to teach AI agents the 'why' behind product design decisions is an intriguing step forward, but it raises questions about scalability and depth. While the system relies on structured documentation and linters to enforce design rules, it may struggle to capture the full complexity of human decision-making. According to Vercel, the approach involves gathering context from Slack threads, Figma files, and GitHub comments, but this process could become cumbersome in larger teams or more dynamic environments.
The real test will be whether this framework can adapt to evolving design philosophies and maintain consistency across diverse projects. As AI continues to infiltrate creative domains, Vercel's experiment underscores the tension between automation and human intuition.