AI Scrummaster
AI-powered Scrum Master that analyses real git history from major OSS projects (Kubernetes, Rust, Django, PyTorch, Grafana) to surface team health, velocity patterns, and engineering blockers.
Key metrics
Architecture
Next.js 16 frontend with Framer Motion animations, talking to the Anthropic Claude API to analyze real git history scraped from 10 major open-source projects. Honest about what it analyses and what it doesn't.
Case study
AI Scrummaster
Team intelligence from real git history.
Most "AI for engineering teams" demos are hand-waved over fake data. AI Scrummaster is built on the actual commit history of 10 major open-source projects — Kubernetes, Rust, Django, PyTorch, Grafana, and others — and uses Claude to surface what's real about how teams actually ship software.
The honest scope: it reads git, it doesn't read minds. It tells you what the data says, then it gets out of the way.
What it does
- Reads real git history from 10 production OSS repositories
- Surfaces team health signals: velocity changes, commit cadence, contributor churn, patterns of blocked work
- Uses Claude for synthesis — not as a magic oracle, as a way to compress patterns into prose a Scrum Master can act on
- Polished frontend — Next.js 16, React 19, Framer Motion animations
- Honest documentation — explicit about what it can and cannot do
Status
31 commits, brand new (April 2026). Polished enough to demo. Built fast as a "what if a Scrum Master could actually see the data?" experiment.
Tech stack
Gallery