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
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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.
