What problem does it solve? Solo founders and small teams lack visibility into their own shipping velocity, work patterns, and code quality trends, making it hard to spot burnout, fix-ratio problems, or momentum loss before they hurt the product. ## Core Features & Use Cases - Commit & Velocity Analysis: Aggregates commits, LOC, PR sizes, session detection, and hourly distribution from git history over configurable windows (24h, 7d, 14d, 30d). - Trend Tracking: Persists retro snapshots to .context/retros/ and compares current metrics against prior retros, plus week-over-week trends and shipping streaks. - Team & Solo Modes: Produces per-author leaderboards with praise and growth opportunities for teams, or deep personal analysis for solo repos; supports cross-project global retros. - Use Case: At the end of a work week, run the retro to see that your fix ratio hit 54%, your deep sessions dropped from 5 to 2, and your test coverage fell 19 points — then adjust next week's plan accordingly. ## Quick Start Ask the AI to run a weekly engineering retrospective over the last 7 days of git history and summarize shipping velocity, session patterns, and code quality trends.