AiCodeGraph.Cli 0.3.0

AI Code Graph

A Roslyn-based static analysis tool for .NET codebases. Builds semantic code graphs with call relationships, complexity metrics, and duplicate detection.

For LLM/AI agents: See LLM-QUICKSTART.md for minimal-token workflows.

Features

• Call Graph - Method relationships including interface dispatch
• Complexity Metrics - Cognitive complexity, LOC, nesting depth
• Duplicate Detection - Structural and semantic clone detection
• Coupling Analysis - Afferent/efferent coupling, instability
• Dead Code Detection - Methods with no callers
• Staleness Detection - Know when to re-analyze
• MCP Server - IDE and AI agent integration

Installation

dotnet tool install --global AiCodeGraph.Cli

Requires: .NET 8.0 SDK

Quick Start

# Analyze a solution
ai-code-graph analyze YourSolution.sln

# Check database status
ai-code-graph status

# Get method context before editing
ai-code-graph context "ValidateUser"

# Find complexity hotspots
ai-code-graph hotspots --top 10

# Check blast radius
ai-code-graph impact --id "<method-id>"

Commands

All commands support --format compact|table|json (default: compact for agent commands).

AI Integration

Claude Code

# One-command setup
ai-code-graph setup-claude

Creates slash commands (/cg:context, /cg:hotspots, etc.) and MCP server config.

MCP Server

ai-code-graph mcp --db ./ai-code-graph/graph.db

Configure in .mcp.json:

{
  "mcpServers": {
    "ai-code-graph": {
      "type": "stdio",
      "command": "ai-code-graph",
      "args": ["mcp", "--db", "./ai-code-graph/graph.db"]
    }
  }
}

Documentation

• LLM Quickstart - Minimal-token agent workflow
• Output Contract - Format specifications

Building from Source

git clone https://github.com/your-org/ai-code-graph.git
cd ai-code-graph
dotnet build
dotnet test

License

MIT