DevDuck FAQs

Question 1

Can DevDuck be used in CI/CD pipelines?

Accepted Answer

Yes, DevDuck can be integrated into GitHub Actions workflows to automate tasks such as code analysis, issue assistance, and pull request reviews, making it a powerful tool for enhancing CI/CD processes.

Question 2

What is DevDuck?

Accepted Answer

DevDuck is a self-healing AI agent designed for developers that automatically adapts, fixes itself, and expands its functionalities at runtime. It integrates hot-reloadable custom tools, automatic RAG memory, and multi-protocol server support.

Question 3

What kind of memory and context management does DevDuck use?

Accepted Answer

DevDuck employs automatic RAG (Retrieval Augmented Generation) memory, typically leveraging AWS Bedrock Knowledge Bases. It automatically retrieves relevant context before each query and stores interactions afterward, ensuring intelligent and context-aware responses without manual intervention.

Question 4

What are the ways to interact with DevDuck?

Accepted Answer

DevDuck offers highly versatile access. You can interact via CLI, Python API, TCP server (port 9999), WebSocket server (port 8080), MCP server (port 8000), or a browser-based Web UI, providing flexibility for various development environments.

Question 5

How does DevDuck expand its capabilities at runtime?

Accepted Answer

DevDuck features a hot-reload mechanism, allowing developers to create custom Python tools in a dedicated directory. These tools are instantly loaded and available to the agent without requiring a restart, enabling dynamic capability expansion.

DevDuck

DevDuck

Key Features

Use Cases

Key Features

Use Cases