How our agents build on-brand pages with design.md

AGENTS.md

AGENTS.md is a simple, open format for guiding coding agents. Think of it as a README for agents.

Atlassian's DESIGN.md is here: what we learned testing portable design context in practice - Inside Atlassian

We tested Google's DESIGN.md format against our MCP server and AI skills to see where a single portable markdown file fits in your design system tooling. Here's what we learned.

ARCHITECTURE.md

SYSTEM TEMPLATE FOR RAPID CODEBASE COMPREHENSION - HAVE YOUR AGENT TO FILL IN FOR YOUR REPO

Agent Recipes

Explore common agent recipes with ready to copy code to improve your LLM applications.

Framer Blog: Building Agents for Framer

A detailed look at what we learned while building design agents, from canvas-native workflows and CMS to quality, collaboration, speed, cost, community, and external agents.

Teaching agents product design at Vercel

Learn how Vercel teaches agents product design with agent skills, lint rules, Vercel Agent code reviews, evals, and a human-led update loop.

Agentic development basics

Blog post: Agentic development basics by Steve Klabnik

DesignABetterBusiness.tools | Tool Overview

Search and download all of the tools from the book Design A Better Business

Writing about Agentic Engineering Patterns

I’ve started a new project to collect and document Agentic Engineering Patterns—coding practices and patterns to help get the best results out of this new era of coding agent development …

Harness engineering: leveraging Codex in an agent-first world

By Ryan Lopopolo, Member of the Technical Staff

Harness engineering: leveraging Codex in an agent-first world

By Ryan Lopopolo, Member of the Technical Staff

Agent experience: How to design products that agents can actually use — WorkOS

What engineers and founders need to know about designing APIs, tools, and interfaces for agent-driven workflows

Popmelt — Design copilots for AI agents

Our Taste models encode design expertise and philosophy, giving AI agents instant access to a curated catalog of aesthetic knowledge. Unlike traditional templates and design systems, our imprints are AI-native and guided by universal principles. This means agents can apply them to any interface scenario, not just predefined layouts and elements. They're also customizable and extensible, letting you build quickly without falling into the cookie-cutter UI library trap.

The golden rules of agent-first product engineering

Five principles for building products that work well for AI agents and MCP servers.