After running an analysis, results appear in a VS Code webview panel. The webview adapts to your current VS Code theme (light or dark).
What's in the webview:
- Contributor profiles — expertise areas, commit activity, specialization tags
- Expertise bars — colored bars showing relative contribution per area (gray for bots)
- Bot detection badges — 🤖 next to identified automated contributors
- Sortable/filterable table — click column headers to sort, use the filter to narrow by name or area
- Management insights — bus factor risks, growth opportunities, efficiency gaps
Click the export button in the webview to generate a self-contained HTML file. No external dependencies — everything inlines.
The exported report uses the X-Ray dark theme:
| Element | Value |
|---|---|
| Background | #0a0a0f |
| Accent | #06b6d4 (cyan) |
| Effects | CSS scan-line overlay |
| Charts | Inline SVG bar charts |
The export looks different from the webview on purpose — the webview follows your VS Code theme, while the export always uses the dark X-Ray identity for a consistent, shareable look.
Each contributor gets a profile with:
- Total commits and file count
- First and last activity dates
- Top expertise areas with percentage bars
- AI-generated analysis (communication style, specialization, collaboration patterns) when an AI provider is available
Automated contributors (Dependabot, Renovate, GitHub Actions) are flagged with:
- 🤖 badge
- Gray expertise bars
- Separated from human contributors in insights
AI-powered recommendations for team leads:
- Bus factor — areas where one person holds all the knowledge
- Growth opportunities — contributors showing potential in new areas
- Efficiency gaps — patterns that suggest process improvements