高级AI代码编辑器

Export a static dependency map for documentation

codegraph --export svg --filter "*.controller.ts" --output ./docs/architecture.svg

Example Profile Configuration

Every team has a unique codebase fingerprint. CodeGraph AI learns yours through a simple YAML profile:

```yaml

Example Console Invocation

CodeGraph AI is designed for both GUI and terminal power users. Here's how you launch a session from the command line:

```bash

~/.codegraph/config.yaml

project: name: "ecommerce-platform" root: "/workspace/monorepo" language: "typescript" frameworks: - "next.js" - "express" graph: depth: 5 # How many levels of dependency to visualize detail: "medium" # low, medium, high exclude: - "node_modules" - "dist" ai: provider: "claude" # openai or claude model: "claude-3-opus-2026" api_key: "${CODEGRAPH_AI_KEY}" # Environment variable reference ui: theme: "dark" layout: "radial" # radial, tree, force-directed responsive: true export: format: "svg" include_documentation: true ```

This configuration tells CodeGraph AI how to map your specific terrain. The depth parameter controls how deep the relationship tree grows—useful for massive monorepos where you only need surface-level connections. The ai.provider setting lets you choose between Ollama, Claude, or OpenAI depending on your privacy and performance needs.

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Launch the full visual interface

codegraph studio --port 8080 --open ```

Each invocation opens a portal into your code's consciousness. The --focus flag acts like a spotlight, illuminating only the parts of the graph connected to your target. The --trace command creates a breadcrumb trail through the most tangled spaghetti logic, showing you exactly how data flows from entry point to database query.

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API Integration: OpenAI and Claude

CodeGraph AI treats AI models as plugins to your understanding, not replacements for your thinking.

OpenAI Integration (GPT-4.5 Turbo): - Best for generating new code based on graph patterns - Creates documentation summaries from connected nodes - Suggests refactoring strategies by analyzing central dependencies

Claude Integration (Claude 3 Opus): - Excels at explaining why certain architectural choices were made - Can trace a bug through 40+ connected files in a single query - Provides context-aware rename suggestions across the entire graph

Switch between them with a single configuration change. The graph engine remains the same—only the lens through which you see the code changes.

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Generate a live graph of all authentication-related modules

codegraph --focus "auth" --depth 6 --format interactive

2. Dual AI Integration (OpenAI & Claude)

• Claude API 3.0 – Best for long-context codebase explanations (up to 200K tokens)
• OpenAI GPT-4.5 – Superior for generating new code based on graph patterns
• Provider Agnostic – Swap between APIs without changing your workflow
• Local AI Option – Run fully offline with Llama-based models for air-gapped environments

SEO-Optimized Keywords (Natural Integration)

CodeGraph AI addresses challenges developers face daily: codebase visualization tools, dependency mapping software, AI-powered code analysis, legacy code understanding, monorepo navigation, function call graph generators, semantic code search, architecture documentation automation, and team onboarding acceleration tools. When you search for "how to understand complex codebases faster" or "best tools for code architecture visualization," you'll find us—because we built the solution you're looking for.

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