Dennis Traub

@DennisTraub · User

GitHub profile ↗ · Compare

Research Engineering, Agentic Developer Experience at AWS

Amazon Web ServicesGermany65 followers27 repositories

Repositories

DennisTraub/aws-bench

aws-bench measures how well AI agents and model combinations perform on real AWS work — diagnosing misconfigurations, provisioning infrastructure, and operating live cloud environments.

★ 0Forks 0

DennisTraub/goose

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

★ 0Forks 0

DennisTraub/mcp-server

This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite AI coding assistant to vibe-code Strands Agents.

★ 0PythonForks 0

DennisTraub/ai-functions

Python functions powered by AI agents - with runtime post-conditions for reliable agentic workflows.

★ 0Forks 0

DennisTraub/agent-sop

Natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability.

★ 0Forks 0

DennisTraub/bedrock-for-all

Educational code examples demonstrating Amazon Bedrock usage across Python, Java, JavaScript, C#, and PHP. Complete, documented examples of InvokeModel, Converse, and ConverseStream APIs for building generative AI applications in your preferred programming language.

★ 0C#Forks 0

DennisTraub/bedrock-connected-to-the-real-world

Educational examples demonstrating how to enhance AI capabilities by connecting Amazon Bedrock to real-world data and services. From basic LLMs to context-aware, dynamic AI solutions.

★ 15PythonForks 1

DennisTraub/500-AI-Agents-Projects

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

★ 0Forks 0

DennisTraub/gh-folder-dl

Download files from GitHub repository folders while maintaining directory structure. Features include recursive folder traversal, SHA-based file tracking to avoid redundant downloads, and a SQLite database for efficient caching. Available both as a Python library for integration into other tools and as a standalone CLI application.

★ 0PythonForks 1