Repowise · Codebase intelligence
chaitanya1013 / ai-code-review
AI-powered code review application using Google Gemini AI with Monaco Editor, React, Node.js, and Express.
Languages
- javascript66.7%
- markdown20.0%
- json13.3%
Explore chaitanya1013/ai-code-review
Key modules2
- javascript
BackEnd
BackEnd
- javascript
Frontend
Frontend
Code health
Full reportHow chaitanya1013/ai-code-review works
AI-powered code review application using Google Gemini AI with Monaco Editor, React, Node.js, and Express. This page is an auto-generated, always-fresh map of the chaitanya1013/ai-code-review repository, written primarily in JavaScript. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
The codebase has 15 source files, 3 symbols, and 3 languages, structured as a monorepo with 2 packages. Git churn analysis flags 1 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 10 tightly-coupled module communities.
Use the panels above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.