AI-Powered Engineering Risk Intelligence for GitHub Repositories
Detect knowledge concentration, bus factor risk, ownership imbalance, and contributor dependency before they become engineering bottlenecks.
- Quick Start
- Executive Product Overview
- Problem Statement
- Live Demo
- Enterprise Architecture
- Dashboard Walkthrough
- Knowledge Graph Explanation
- Executive Report Walkthrough
- Business Value
- Core Features
- Product Workflow
- Technical Architecture
- Technology Stack
- Project Status
- Repository Topics
- Future Roadmap
- Contributing
- Support
- License
- Project Structure
Explore Repo Risk Intelligence in under two minutes.
- Watch the demo GIF.
- Review the architecture diagram.
- Explore the dashboard screenshot.
- Inspect the knowledge graph.
- Open the executive report.
- Review the roadmap.
While most repository analytics tools measure activity, Repo Risk Intelligence reveals engineering risk.
It analyzes repository ownership, contributor concentration, and knowledge distribution to help engineering leaders identify operational risk before it affects delivery.
The product turns repository data into a clear visual risk story through a landing experience, a risk dashboard, a knowledge graph, and an executive report.
Engineering teams often lack visibility into:
- Bus factor risk
- Knowledge concentration
- Contributor dependency
- Code ownership imbalance
A repository can look healthy on the surface while hiding serious structural risk underneath:
- one engineer owns a large part of the codebase,
- knowledge about critical modules is concentrated in a small group,
- contributor handoffs are weak,
- and leadership has no easy way to measure operational resilience.
Repo Risk Intelligence transforms repository metadata into decision-ready engineering intelligence.
The product is deployed as a hosted experience:
The architecture focuses on a clear product workflow:
- GitHub repository input
- Repository analysis
- Commit and contributor extraction
- Risk Intelligence Engine
- Knowledge graph
- Executive risk report
- Engineering decisions
This is a product architecture, not an infrastructure diagram. It is designed to communicate how the product works in under 10 seconds.
The dashboard is the main working surface of the application.
It presents repository risk in a way that is easy to scan:
- top-level risk indicators
- contributor concentration
- bus factor signals
- ownership patterns
- actionable visual summaries
- Repository health at a glance
- Highest-risk areas and modules
- Contributor patterns requiring attention
- Leadership action items
The knowledge graph is one of the most important differentiators in the product.
Rather than only showing counts or charts, it helps surface relationships between:
- contributors
- files
- modules
- ownership clusters
- risk hotspots
Repository risk is often relational. A file may appear harmless until you see that:
- only one person works on it,
- it is tied to critical delivery paths,
- and no one else has meaningful context.
The graph makes those relationships easier to understand.
The executive report is the leadership-facing output of the product.
It converts repository analysis into a concise risk narrative for technical decision-makers.
- Risk score / risk grade
- Bus factor assessment
- Ownership concentration
- Contributor impact analysis
- Executive summary
- Leadership recommendations
Open the Executive Risk Report (PDF)
Engineers need detail. Leaders need clarity.
The executive report bridges both.
It is designed so a CTO, engineering manager, or founder can quickly understand:
- what the risk is,
- why it matters,
- and what to do next.
Repo Risk Intelligence helps engineering organizations:
- reduce key-person risk,
- improve ownership visibility,
- strengthen engineering resilience,
- support architectural decision-making,
- and surface hidden repository dependencies.
It is designed for:
- Engineering Managers
- Staff Engineers
- CTOs
- Platform Teams
- Open Source Maintainers
- Bus Factor Analysis
- Knowledge Concentration Detection
- Ownership Insights
- Contributor Dependency Analysis
- Interactive Knowledge Graph
- AI Executive Reports
- Engineering Decision Support
GitHub Repository
│
▼
Repository Analysis
│
▼
Commit & Contributor Extraction
│
▼
Risk Intelligence Engine
├── Bus Factor Analysis
├── Knowledge Concentration
├── Ownership Insights
└── Contributor Dependency
│
▼
Knowledge Graph
│
▼
Executive Risk Report
│
▼
Engineering Decisions
Repo Risk Intelligence is built as a modern front-end product that combines repository data, analytics logic, and visual presentation.
- Presentation Layer — dashboard, landing page, screenshots, report visuals
- Analysis Layer — risk scoring, contributor analysis, ownership mapping
- Visualization Layer — knowledge graph and executive visuals
- Integration Layer — GitHub repository data and repository metadata
- fast to scan
- easy to explain
- enterprise-ready appearance
- modular visuals
- clear decision support
This repository does not present a public API, external multi-tenant backend, or enterprise infrastructure claims unless explicitly shown in the product or codebase.
| Layer | Technology |
|---|---|
| UI | React |
| Language | TypeScript |
| Build Tool | Vite |
| Data Source | GitHub Repository Data |
| Visualization | Graph-based UI |
| Reporting | AI-generated Executive Reports |
| Deployment | Bolt.new hosted deployment |
| Branding | Figma-designed assets |
- ✅ MVP complete
- ✅ Live demo available
- ✅ Architecture documented
- ✅ Product screenshots published
- ✅ Executive report generated
- ✅ Portfolio-ready public repository
Repo Risk Intelligence is in public portfolio / MVP showcase mode.
Future enhancements are tracked in the roadmap.
GitHub repository analytics • engineering risk intelligence • bus factor analysis • contributor dependency • knowledge concentration • code ownership insights • repository health • engineering analytics • AI-powered reporting • knowledge graph visualization • enterprise SaaS dashboard • developer productivity analytics
- Repository comparison
- Organization-wide analytics
- Historical trend analysis
- GitHub App integration
- AI risk scoring refinement
- Predictive engineering analytics
- Slack and Microsoft Teams notifications
- Team health dashboard
- Multi-repository portfolio view
Move from a single-repository analysis tool to a broader engineering intelligence platform that helps teams understand organizational resilience across projects.
Contributions are welcome.
If you want to improve the project:
- Open an issue describing the problem or idea.
- Keep pull requests focused and easy to review.
- Update documentation when behavior changes.
- Preserve the product’s enterprise visual language.
- Avoid introducing unverified claims or undocumented features.
Questions, ideas, bug reports, and feature requests are welcome.
Please open a GitHub Issue.
Released under the MIT License.
See the LICENSE file for full details.
Repo-Risk-Intelligence/
├── README.md
├── banner.png
├── LICENSE
├── ROADMAP.md
├── ARCHITECTURE.md
├── CONTRIBUTING.md
├── SECURITY.md
├── .github/
│ └── PULL_REQUEST_TEMPLATE.md
└── assets/
└── screenshots/
├── architecture-diagram.png
├── dashboard.jpg
├── demo.gif
├── executive-report.pdf
├── knowledge-graph.jpg
└── landing-page.jpg
Repo Risk Intelligence demonstrates a critical principle:
Engineering risk must be visible before it becomes a delivery problem.
This repository turns that principle into a polished, recruiter-grade product story.
Build resilient engineering organizations through AI-powered repository intelligence.