Design Lead
Generating Design Documentation From Figma for Developer Handoff
Generating Design Documentation From Figma for Developer Handoff
Key Takeaway
An AI agent reads a Figma file and outputs a complete design system doc — component inventory, spacing, colors, typography, interaction specs — as markdown and JSON in 5 minutes.
The Problem
Designer finishes the screens. Developer opens the Figma link. Stares at it.
"What's the spacing between these cards?" "Is that 14px or 16px font?" "What happens on hover?" "Does this component have a disabled state?"
The designer answers on Slack. The answers get buried. Next sprint, a different developer asks the same questions. The designer writes it down this time — in a Notion page that's outdated by next week.
Design documentation is the most consistently neglected artifact in product teams. Not because it's hard. Because it's tedious. A designer would rather design the next feature than document the last one.
At PyratzLabs, we had exactly this problem across Artificial-Lab and our internal tools. Two projects, one designer, zero documentation. Every handoff was a verbal download. Every onboarding was "just look at the Figma."
That's not a handoff. That's a knowledge sieve.
The Solution
Jack — our Design team agent — reads the Figma file via the REST API, analyzes every page and component, and generates a complete design system document. Markdown for human reading. JSON for programmatic consumption. Both outputs ready to drop into a dev wiki or Notion.
The agent doesn't guess. It measures. Spacing values come from actual frame padding and auto-layout gaps. Colors come from fill properties. Typography comes from text node styles. Interaction specs come from component variant names and descriptions.
The Process (with code/config snippets)
The analysis pipeline has four stages:
yamlShow code
# design-doc-config.yaml
figma:
file_key: "YOUR_FILE_KEY"
access_token: "${FIGMA_ACCESS_TOKEN}"
analysis:
extract:
- component_inventory # Every component with variants
- color_palette # All unique fills/strokes
- typography_scale # All text styles
- spacing_rules # Auto-layout gaps, padding
- interaction_specs # States from variant names
- responsive_breakpoints # Frame widths across pages
output:
markdown: "./docs/design-system.md"
json: "./docs/design-system.json"
options:
include_screenshots: true
group_by: "page"
detect_inconsistencies: true # Flag spacing/color drift
The component inventory extraction:
pythonShow code
def extract_component_inventory(file_data):
inventory = []
for component_id, meta in file_data.components.items():
node = find_node(file_data, component_id)
entry = {
"name": meta.name,
"description": meta.description,
"page": get_page_name(node),
"variants": extract_variants(node),
"props": extract_props(node),
"auto_layout": {
"direction": node.layout_mode,
"padding": extract_padding(node),
"gap": node.item_spacing
},
"states": detect_states(meta.name, node),
"dimensions": {
"width": node.absolute_bounding_box.width,
"height": node.absolute_bounding_box.height
}
}
inventory.append(entry)
return inventory
def detect_states(name, node):
"""Infer states from variant properties"""
states = []
state_keywords = ["default", "hover", "active", "pressed",
"disabled", "error", "focus", "loading"]
if hasattr(node, 'component_properties'):
for prop_name, prop in node.component_properties.items():
if prop.type == "VARIANT":
for value in prop.variant_options:
if value.lower() in state_keywords:
states.append(value)
return states if states else ["default"]
The generated markdown looks like this:
markdownShow code
# Design System — ProjectName
## Color Palette
| Token | Hex | Usage |
|----------------|-----------|--------------------------|
| primary-500 | #6366F1 | CTAs, active states |
| primary-100 | #E0E7FF | Backgrounds, hover fills |
| neutral-900 | #111827 | Body text |
| neutral-500 | #6B7280 | Secondary text |
| error-500 | #EF4444 | Error states, alerts |
| success-500 | #10B981 | Success indicators |
### Inconsistencies Detected
⚠️ Two similar blues found: #6366F1 and #6365F0 (delta: 1).
Likely unintentional. Standardize to #6366F1.
## Typography Scale
| Style | Font | Size | Weight | Line Height | Letter Spacing |
|-------------|-------------|------|--------|-------------|----------------|
| heading-xl | Inter | 36px | 700 | 1.2 | -0.02em |
| heading-lg | Inter | 24px | 600 | 1.3 | -0.01em |
| body-md | Inter | 16px | 400 | 1.5 | 0 |
| body-sm | Inter | 14px | 400 | 1.5 | 0 |
| caption | Inter | 12px | 500 | 1.4 | 0.02em |
## Spacing System
Base unit: 4px
Scale: 4, 8, 12, 16, 20, 24, 32, 40, 48, 64
## Components
### Button
- **Variants:** primary, secondary, ghost, danger
- **States:** default, hover, active, disabled, loading
- **Props:** label (text), icon (optional), size (sm/md/lg)
- **Padding:** 12px 24px (md), 8px 16px (sm), 16px 32px (lg)
...
The JSON output mirrors the same structure — ready for design token pipelines, Storybook configs, or Tailwind theme files.
The Results
| Metric | Designer Writing Docs | Agent-Generated |
|---|---|---|
| Time to complete | 1-2 days | 5 minutes |
| Coverage | ~60% of components | 100% of components |
| Consistency detection | Manual review | Automatic flagging |
| Format | Usually one (Notion or PDF) | Markdown + JSON simultaneously |
| Stays current | Outdated within a week | Re-run on any change |
| Developer questions after handoff | 8-12 per sprint | 1-2 per sprint |
The biggest win isn't speed. It's that the docs are never stale. When the Figma file changes, re-run the agent. Fresh docs in 5 minutes. The documentation becomes a living artifact instead of a historical snapshot.
Try It Yourself
Feed a Figma file key to the agent with the design-doc config. You'll get two files: a complete markdown document and a structured JSON. The inconsistency detection alone is worth it — we found 3 near-duplicate colors and 2 off-scale spacing values in our first run.
Documentation should be generated, not written. Designers should design. Machines should document.
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