💻 programming

Depth AI

An AI assistant that deeply understands the code base

#AI assistant
#Knowledge graph
#code understanding
#Enterprise security
#Integrated tools
Depth AI

Product Details

Depth AI is an artificial intelligence product built by engineers. It can answer deep technical questions by building a knowledge graph of the code base, and supports the deployment of customized AI assistants in different work scenarios. Product background information shows that Depth AI is designed to help engineers and development teams understand and use code libraries more efficiently, and improve team productivity by integrating into existing tools and workflows, such as Slack, GitHub Copilot, Jira, etc. Key product benefits include in-depth technical question answering, comprehensive code graph understanding, abstract reasoning capabilities, and latent spatial interaction. Depth AI provides enterprise-grade security and compliance features to keep data safe and does not use customer data for model training.

Main Features

1
Build a knowledge graph of the code base to answer in-depth technical questions
2
Code graph understanding, representing all components and their relationships
3
Abstract reasoning to answer complex questions about system design and architecture
4
Latent Space Interaction, leveraging machine learning to capture semantics and patterns in code
5
Integrate into existing tools and workflows like Slack, GitHub Copilot, Jira, and more
6
Create customized assistants and deploy them into workflows, such as i18n assistant, SDK assistant, ML Pipeline assistant, etc.
7
Enterprise-grade security and compliance features, including data encryption and audit logging

How to Use

1
1. Visit the official website of Depth AI and register an account
2
2. Select your code base and the knowledge graph you need to build according to the guidelines
3
3. Configure tools that integrate into your workflow, like Slack or GitHub
4
4. Create and deploy customized AI assistants into your workflow
5
5. Use Depth AI to ask technical questions and get in-depth answers
6
6. Use audit logs to monitor your team’s usage and data security
7
7. Adjust the configuration of the AI ​​assistant as needed to optimize the workflow

Target Users

The target audience is technical professionals such as software developers, data scientists, engineers, etc. Depth AI is suitable for them because it can help them understand the code base more deeply, improve code quality and development efficiency, while ensuring data security and compliance.

Examples

Developers use Depth AI to understand whether complex code changes will cause system outages

Data scientists navigate machine learning processes with ML Pipeline Assistant

Engineers use Testing Assistant to write integration tests and unit tests

Quick Access

Visit Website →

Categories

💻 programming
› Development and Tools
› code assistant

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