Codebase intelligence for AI-assisted engineering teams — auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
Advanced analytics for Git repositories — commits, authors, code churn, lines of code, trends, and visual dashboards.
A collection of scripts for analyzing and visualizing Git repositories. Explore commit history, contributor activity, code changes, and more with easy-to-use tools designed to help you gain insights into your codebase.
A Git commit activity visualization tool with detailed repository insights
An automated Senior Engineer in your terminal. Detects crashes, analyzes root causes, and fixes code by making AI agents argue.
Autonomous software engineering pipeline for Claude Code: 11 stages, 64 verification rules, 17 codebase intelligence tools, 5 science-backed git analytics. Findings → PRD → verified PR with zero LLM judges.
Add a description, image, and links to the git-analytics topic page so that developers can more easily learn about it.
To associate your repository with the git-analytics topic, visit your repo's landing page and select "manage topics."