Chat with Your Codebase

Unlike simple RAG-based solutions, Depth AI constructs a detailed code graph that captures the complete structure of your codebase. This enables it to answer complex questions on large and messy codebases.

Component Relationships

Map out how different parts of your system interact and depend on each other

Architectural Patterns

Identify and understand the architectural patterns used across your codebase

System Dependencies

Track all internal and external dependencies throughout your system

Code Hierarchies

Visualize the hierarchical structure of your codebase components

Available Everywhere You Code

Web App

Chat with your codebase through our web app.

Slack Integration

Get instant answers about your code directly in Slack - where your team already collaborates.

GitHub Copilot

Seamless integration with GitHub Copilot for enhanced development experience.

Specialized Assistants

Create specialized assistants on different parts of your codebase and deploy them in your workflows. Just select files and folders from your codebase as knowledge sources, and the assistant is ready.

Learn More About Assistants

Detailed guide on creating and deploying specialized assistants for your team

API First

Use the chat API to build tools on top of Depth AI.

curl -X POST "https://api.trydepth.ai/chat?repo_name=github.com/calcom/cal.com" \
  -H "Authorization: Bearer your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [{"role": "user", "content": "What are the API routes?"}],
    "model": "gpt-4"
  }'

Example Tools You Can Build

On-Call Debugger

Build a bot that helps on-call engineers debug production issues by providing context about error logs and related code.

Documentation Writer

Create automated documentation generators that explain code changes and keep technical docs in sync with your codebase.

Code Review Bot

Deploy an AI reviewer that analyzes pull requests and provides detailed feedback based on your codebase patterns.

Chat API

Detailed guide on using the chat API