What problem does it solve?
It automates the laborious process of reading through git history to surface work rhythm, code-quality signals, hotspots, and actionable improvement suggestions so developers and teams can iterate faster without manual aggregation.
Core Features & Use Cases
- Work rhythm analysis: active days, daily commit density, and high-productivity time windows.
- Content & quality signals: commit-type distribution (feat/fix/refactor/docs), fix density, revert frequency, and commit message quality checks.
- Hotspot detection: files most frequently modified and areas with repeated fixes indicating technical debt.
- Durability & long-session checks: basic metrics to spot long-session drift and archival/trajectories presence for context durability.
- Use cases include personal weekly retros, engineering team sprint reviews, and identifying targets for tests or documentation improvements.
Quick Start
Use retro to analyze the last 7 days of git commits and generate a concise engineering retrospective report.