What are the key features of Depth AI?

Key features include: 1) Code graph understanding that maps all components and relationships, 2) Abstract reasoning for answering complex system design questions, 3) Latent space interactions to capture semantic patterns, 4) Integration with work tools like Slack and GitHub, and 5) Ability to create custom AI assistants for specific code sections.

Where can Depth AI be deployed?

Depth AI can be deployed anywhere teams work through seamless integration with existing tools and workflows, including Slack, GitHub Copilot, Jira and more. It can also be accessed through their webapp or API.

What types of questions can Depth AI answer?

Depth AI can answer deep technical questions such as whether a change is breaking, how authentication works, explaining SSO flows, identifying data pipelines, finding utility implementations, and summarizing external integrations.

How does Depth AI work differently from simple RAG systems?

Unlike simple RAG systems, Depth AI builds a comprehensive knowledge graph of the codebase, enabling deeper understanding through code graph analysis, abstract reasoning capabilities, and latent space interactions to capture semantic meaning and patterns within the code.

Depth AI

WebsiteContact for PricingAI Image Recognition AI Code Assistant

Depth AI is an advanced AI-powered platform that combines spatial AI, depth sensing capabilities, and codebase understanding to provide comprehensive solutions for both computer vision applications and code analysis.

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Updated:Feb 16, 2025

Depth AI Monthly Traffic Trends

Depth AI received 2.0k visits last month, demonstrating a Moderate Growth of 21.6%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.

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What is Depth AI

Depth AI represents two distinct but innovative AI technologies: a spatial AI platform for computer vision (by Luxonis) and a codebase analysis tool (by trydepth.ai). The spatial AI component focuses on depth perception and real-time object detection using hardware like OAK-D devices, while the codebase analysis tool creates comprehensive knowledge graphs of code repositories to enable deep technical understanding and assistance. Both variations of Depth AI aim to revolutionize their respective domains by providing sophisticated AI-driven solutions for real-world applications.

Key Features of Depth AI

Depth AI is an advanced AI-powered platform that provides comprehensive code understanding and analysis capabilities. It constructs knowledge graphs of codebases, enables deep technical questioning, and integrates seamlessly with various development tools and workflows. The platform combines code graph understanding, abstract reasoning, and latent space interactions to help teams better understand and work with their codebase.

Code Graph Understanding: Constructs comprehensive knowledge graphs representing code components and their relationships, enabling deep analysis of code structure and dependencies

Multi-platform Integration: Seamlessly integrates with popular development tools including Slack, GitHub Copilot, and Jira, making it accessible wherever teams work

Custom AI Assistants: Allows creation of specialized AI assistants for specific parts of repositories that can be deployed across different platforms through API

Abstract Reasoning Capabilities: Provides ability to answer complex questions about system design, architecture, and high-level technical concepts

Use Cases of Depth AI

Code Review and Analysis: Helps teams identify breaking changes and understand complex code relationships through comprehensive graph analysis

System Documentation: Assists in understanding and documenting system flows like authentication and SSO implementations

Technical Support: Provides quick answers to technical questions about codebase functionality and implementation details

Architecture Assessment: Helps analyze and understand system architecture, data pipelines, and external integrations

Pros

Comprehensive code understanding through advanced graph analysis

Flexible integration with multiple development platforms

Customizable AI assistants for specific needs

Cons

May require significant setup and configuration

Learning curve for optimal utilization of all features

How to Use Depth AI

1. Sign up for Depth AI: Visit trydepth.ai and schedule a 1:1 demo to get started with the platform

2. Connect your codebase: Connect your code repository to allow Depth AI to analyze and build a knowledge graph of your codebase

3. Create custom AI assistants: Select specific files and folders from your repository to create specialized AI assistants focused on different parts of your code

4. Deploy integrations: Set up integrations with your existing tools like Slack, GitHub Copilot, and Jira to make the AI assistants available where your team works

5. Ask technical questions: Use the AI assistants to ask complex questions about your codebase, including system design, authentication flows, data pipelines, and potential breaking changes

6. Access via API: Utilize the API-first approach to programmatically access Depth AI's capabilities and integrate it into your custom workflows

7. Monitor and iterate: Track how your team uses the AI assistants and refine them based on usage patterns and feedback

Depth AI FAQs

Depth AI is an AI platform that deeply understands codebases by constructing comprehensive knowledge graphs. It can answer technical questions, integrate with various work tools, and allows creating custom AI assistants for different parts of code repositories.

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Depth AI Traffic & Rankings

Monthly Visits

#8209902

Global Rank

Category Rank

Traffic Trends: Nov 2024-Jan 2025

Depth AI User Insights

00:00:44

Avg. Visit Duration

1.22

Pages Per Visit

38.3%

User Bounce Rate

Top Regions of Depth AI

US: 68.47%

IN: 31.53%

Others: 0%

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