

Depth AI
Overview :
Depth AI is an artificial intelligence product built by engineers that constructs knowledge graphs of codebases to address complex technical questions and supports the deployment of customized AI assistants in various work scenarios. The product aims to assist engineers and development teams in understanding and utilizing codebases more efficiently by integrating into existing tools and workflows, such as Slack, GitHub Copilot, and Jira, thereby enhancing team productivity. Key advantages of Depth AI include answering deep technical inquiries, comprehensive understanding of code graphs, abstract reasoning capabilities, and potential space interactions. Depth AI offers enterprise-grade security and compliance features to ensure data safety and does not use client data for model training.
Target Users :
Target audience includes software developers, data scientists, engineers, and other technical professionals. Depth AI is suitable for them as it helps deepen their understanding of codebases, enhance code quality and development efficiency, while ensuring data security and compliance.
Use Cases
Developers use Depth AI to understand whether complex code changes might result in system disruptions.
Data scientists navigate machine learning processes using the ML Pipeline assistant.
Engineers utilize the Testing Assistant to write integration and unit tests.
Features
Build knowledge graphs of codebases to address deep technical questions.
Understand code graphs, representing all components and their relationships.
Perform abstract reasoning to answer complex questions about system design and architecture.
Engage in potential space interactions to capture semantics and patterns in code using machine learning.
Integrate into existing tools and workflows, such as Slack, GitHub Copilot, and Jira.
Create customized assistants for workflow deployment, including i18n assistants, SDK assistants, ML Pipeline assistants, etc.
Enterprise-level security and compliance features, including data encryption and audit logs.
How to Use
1. Visit the official Depth AI website to register an account.
2. Follow the guided instructions to select your codebase and the knowledge graph you want to build.
3. Configure tools to integrate into your workflow, such as Slack or GitHub.
4. Create and deploy customized AI assistants into your workflow.
5. Use Depth AI to pose technical queries and receive in-depth answers.
6. Utilize audit logs to monitor team usage and data security.
7. Adjust the configuration of the AI assistant as needed to optimize the workflow.
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