Your Pain Points, Solved
✗
Problem
Spending hours on manual audits
✓
With Buoy
Automated scans in seconds, run on every PR
✗
Problem
No data on which teams are adopting
✓
With Buoy
Per-directory adoption metrics and trends
✗
Problem
Can't prove ROI of design system investment
✓
With Buoy
Real numbers: adoption %, drift reduction over time
✗
Problem
"We think we have 60% adoption" isn't good enough
✓
With Buoy
Know exactly: 47% component coverage, 63% token coverage
Real Metrics, Real Data
47%
Component Coverage
+12% this month
63%
Token Adoption
+8% this month
23
Drift Signals
-15 from last week
4/6
Teams Onboarded
+1 this sprint
buoy-cli
$
Design System Coverage
═══════════════════════════════════════
Components: 47% ████████░░░░░░░░░░
Tokens: 63% ████████████░░░░░░
Overall: 52% ██████████░░░░░░░░
By Source:
├─ src/components/ 78% ███████████████░
├─ src/features/ 34% ██████░░░░░░░░░
└─ src/pages/ 23% ████░░░░░░░░░░░
What You Get
📊 Adoption Metrics
- • Percentage of components using design system
- • Token coverage across the codebase
- • Per-directory and per-team breakdowns
- • Trend tracking over time
🔍 Drift Detection
- • Find hardcoded values that bypass tokens
- • Detect duplicate component implementations
- • Track deprecated component usage
- • Catch naming inconsistencies
🔄 CI/CD Integration
- • Automatic checks on every PR
- • Block merges with critical drift
- • PR comments with drift reports
- • GitHub App ready to use
📈 ROI Reporting
- • Before/after adoption comparisons
- • Time saved from reduced drift
- • Team adoption leaderboards
- • Executive-ready dashboards
Free PDF
Why do developers bypass your design system?
It's not laziness. Get the research on the real friction points and what high-adoption teams do differently.
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