Depth AI - AI that deeply understands your codebase

Depth AI AI that deeply understands your codebase

What is Depth AI?

Depth AI is an innovative platform that constructs comprehensive knowledge graphs of codebases to enable deep technical understanding and analysis. The system goes beyond traditional RAG (Retrieval-Augmented Generation) by creating detailed representations of code components and their relationships.

The platform offers seamless integration with popular development tools like Slack, GitHub Copilot, and Jira, allowing teams to deploy custom AI assistants wherever they work. With enterprise-grade security features including end-to-end encryption, strict permissions enforcement, and the option for self-hosted deployment, Depth AI ensures that organizational data remains secure and protected.

Features

Code Graph Understanding: Creates comprehensive representations of code components and relationships
Abstract Reasoning: Answers complex questions about system design and architecture
Custom AI Assistants: Create specialized assistants for specific code areas
Multi-platform Integration: Works with Slack, GitHub Copilot, and other development tools
Enterprise Security: Includes end-to-end encryption and strict permission controls
Self-hosted Deployment: Option to host on private VPC
Audit Logging: Comprehensive tracking of company usage

Use Cases

Understanding authentication and SSO flows
Analyzing breaking changes in code
Maintaining translation consistency
Managing ML pipelines
Writing integration and unit tests
Managing UI components
Ensuring compliance with GDPR and HIPAA
Understanding API schemas

FAQs

How does Depth AI protect my company's data?

Depth AI uses AES 256 encryption at rest, TLS 1.2+ during transit, never trains on your data, offers self-hosted deployment, and enforces strict permission controls to ensure data security.
What platforms can I integrate Depth AI with?

Depth AI integrates with Slack, GitHub Copilot, Jira, and provides a web app interface, along with API access for custom integrations.
What types of custom assistants can I create?

You can create specialized assistants for i18n, SDK documentation, ML pipelines, testing, UI components, and compliance-related code.