Component context
A component map with names, variants, props, states, examples, and when not to use a component.
ven1aone ~ %AI-ready design system
Design-system docs for AI coding agents
I help prepare a design system for Claude Code, Cursor, Codex, and internal AI agents: component maps, design tokens, React component docs, rules, examples, and constraints that keep generated UI inside your system.
ven1aone ~ %Problem
AI agents guess when the system is implicit
If component rules, tokens, props, accessibility notes, and product constraints live only in people's heads, AI coding agents will fill gaps with their own assumptions.
ven1aone ~ %Solution
Write down what everyone already knows
Token context
Design tokens with an explanation of why each one exists and where it is used in components.
Agent instructions
Markdown instructions that Claude Code, Cursor, Codex, and internal agents can use during generation.
Result boundaries
Accessibility, responsive behavior, interaction rules, and product restrictions the code needs to pass review.
ven1aone ~ %Deliverables
What the team gets
AI context package
Markdown files with component rules, token guidance, examples, and limitations.
Component inventory
A practical inventory for React components, Figma components, Storybook stories, and docs.
Prompt rules
Ready-to-use instructions for generating UI with support from the design system and its components.
Gap list
A list of weak spots: missing documentation, raw tokens, and component props that do not line up.
What to expect
- Design and engineering review stay in the process: documentation supports them but cannot replace them.
- Claude Code, Cursor, and Codex sometimes miss rules. That is normal; the important part is catching those cases early.
- The output depends on the quality of the existing component library, tokens, and product decisions.
FAQ
Which AI tools is this for?
I write the context for Claude Code, Cursor, Codex, and internal agents, but designers and engineers use the same structure too.
Is this different from normal documentation?
Yes. Normal documentation is for people who can infer things from context. For AI agents, rules, examples, and forbidden choices have to be written directly and unambiguously; that is the work.
Can you work with our current design system?
Yes. First we audit what exists: Figma, Storybook, React components, tokens, and documentation. Reliable parts become agent context; everything else goes into a follow-up list.
How do we start?
We start with the current design-system materials and one or two real UI tasks. Live tasks show which rules and examples agents are missing right away.
How long does it take?
A system-readiness audit usually takes 1–2 weeks. A full context package for Claude Code, Cursor, Codex, and internal agents takes 2–4 weeks.
Do you work remote?
Yes. I live in Cyprus and work remotely: documentation and review are async, calls happen when needed. Distributed teams usually fit that rhythm well.
Want to discuss this work?
Write in Telegram or LinkedIn. If email is easier, write there too; I answer there as well.