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How Vercel teaches AI coding agents product design reasoning

By

John Phamous

11d ago· 19 min readenInsight

Summary

Vercel, an agent-native team, explores the challenge of teaching AI coding agents product design — not just generating working UI, but understanding the reasoning behind design decisions. The article explains how Vercel treats accepted product decisions like code, using agent skills, lint rules, Vercel Agent code reviews, evals, and a human-led update loop to encode design context that lives outside the codebase (design reviews, PR comments, Slack threads). The core insight is that agents can replicate patterns but cannot understand why those patterns exist, so Vercel builds systems to bridge that gap.

Source

Twitter / XHow Vercel teaches AI coding agents product design reasoningvercel.com

Key quotes

· 4 pulled
What they cannot do is understand why those patterns exist.
Code shows agents what shipped, not why one component, phrase, or interaction became your standard.
For an agent, context that isn't in the codebase doesn't exist.
We treat accepted product decisions like code, keeping them in the loop.
Snippet from the RSS feed
Learn how Vercel teaches agents product design with agent skills, lint rules, Vercel Agent code reviews, evals, and a human-led update loop.

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