Agent context files

Guilherme Negreiros, who builds a design system with AI agents, writes every exception into the short rule files the agents read, because an automated audit removed a deliberate browser fix.

Cristian Morales Achiardi, a design engineer, generates a design system's code, design files and documentation from specifications machines can check, so a wrong result is fixed in those specifications.

Cate Huston, who led the rebuild of Twill, a recruiting platform, says a design system and a strict permissions model paid off once her team built with AI agents.

Two leads at SpaceXAI show how they share work with AI agents: the designer builds the first screen by hand, and the engineer's agent divides projects among other agents.

Brian Houck of the developer-research firm DX defines five qualities of the instructions AI agents read, and argues that each shared instruction file needs a team that owns it.

Nate B. Jones reports from OpenAI that whether staff find AI useful depends more on whether it can reach their material than on their skill.

Evil Martians, a product consultancy, stops AI agents that build screens from changing the design system, and records every exception for a person to review.

Linear rebuilt its automated code checks after AI agents made writing code faster than checking it, and taught its agents a new testing rule in the same change.

A Nielsen Norman Group study found that heavy users of the AI agent Claude sort its background information into three kinds, including standing rules on what needs their approval.