What is Codebase Analyzer?

Codebase Analyzer is an AI-powered tool that uses Gemini AI to perform multi-layer analysis of codebases, revealing architecture, detecting patterns, and tracing data flow.

How does Codebase Analyzer ensure cost efficiency?

It employs progressive disclosure, providing free surface and structural analysis. You only incur costs for deeper, Gemini AI-powered semantic insights when you explicitly request them.

What types of insights can Codebase Analyzer provide?

It provides insights across Surface (files, languages), Structural (symbols, complexity via tree-sitter), and Semantic (architecture insights, design patterns, data flow traces) layers.

What are the different ways to use Codebase Analyzer?

You can use it as a Claude Code Plugin, an MCP Server, a command-line interface (CLI) tool, or a standalone binary that requires no Node.js/Bun runtime.

Codebase Analyzer

Name: Codebase Analyzer
Author: jaykaycodes

byjaykaycodes

•

Developer Tools

Productivity & Workflow

Analytics & Monitoring

Performs multi-layer codebase analysis powered by Gemini AI, revealing architecture, detecting patterns, and tracing data flow with cost-efficient progressive disclosure.

About

Codebase Analyzer harnesses Gemini AI to conduct comprehensive, multi-layered analysis of any codebase. It employs a progressive disclosure model to optimize costs, starting with free surface and structural insights covering files, languages, and complexity via Tree-sitter. Users can then selectively drill into deeper, AI-powered semantic analysis for architecture insights, design pattern detection, and dataflow tracing, paying only for the details they need. This powerful tool offers specialized agents and commands for targeted code exploration, making it ideal for understanding, maintaining, and evolving complex software systems.

Key Features

Multi-layered codebase analysis (Surface, Structural, Semantic)
AI-powered architecture analysis, pattern detection, and dataflow tracing with Gemini
Cost-efficient analysis through progressive disclosure of semantic details
Integration with Claude Code Plugin and as an MCP Server
Support for standalone binary, no Node.js/Bun runtime required
1 GitHub stars

Use Cases

Quickly grasp the architecture and structure of unfamiliar codebases
Identify common design and architecture patterns within projects
Trace data flow paths for debugging, impact analysis, or feature implementation