Tools like Cursor, Copilot and v0 are only as good as the context you feed them.
Without structured specs tokens, spacing, typography, accessibility notes AI agents guess.
FigSpecs exports a .rules.md file per component that gives your AI agent precise, unambiguous build instructions.
Curious to learn what context are you currently feeding your AI when it builds UI components?
Hey Product Hunt fam š
As a Designer with 12 years experience, I built FigSpecs out of challenges i experienced.
I kept watching the same thing happen ā design approved, engineer picks up the ticket, opens Figma, clicks through 40 layers trying to find padding values and token names. Meanwhile the AI agent they're using is guessing layout from a screenshot.
The problem isn't the model. It's that there's no machine-readable file bridging design and code.
FigSpecs fixes that. Select any Figma component and it generates:
ā Detailed Token audit that identifies layers not connected to variables
ā Measurement frames on the canvas
ā Anatomy diagrams with numbered callouts
ā Accessibility audit (WCAG-aligned, Voiceover, Talkback)
ā component.rules.md ā full structural hierarchy, token paths, flex direction, alignment ā your Cursor/Claude Code agent reads it directly
ā Tailwind v4 @theme {} block ā CSS custom properties, correct namespaces, pixel values
ā specs.json for token pipelines and CI validation
ā CSS with token-mapped custom properties
ā 1-click Jira ticket with everything attached
Free to try ā 20 credits, no card needed.
Would love to hear how your team handles design-to-code handoff today. Happy to answer anything š