This session is a follow-up to our previous Reactor session, where we explored building durable multi-agents. In this session, we will focus on writing maintainable and scalable agent workflows using Semantic Kernel and Prompty.
Semantic Kernel is an open-source SDK that enables developers to integrate AI-powered agents into applications by combining natural language processing with code execution. It simplifies the orchestration of AI workflows, making them more modular and reusable.
Prompty is a VS Code extension that enhances the prompt engineering experience, allowing developers to craft, test, and refine AI prompts efficiently. It streamlines the integration of LLM-based workflows, improving developer productivity.

Session Focus:This session will explore how Semantic Kernel and Prompty help developers build maintainable, scalable, and modular AI-powered agent workflows. We will cover best practices for structuring durable multi-agent systems with a focus on code organization and prompt engineering.
Key Takeaways for Attendees:Attendees will learn how to design, implement, and optimize AI-driven agent workflows using Semantic Kernel and Prompty. They will gain insights into maintainable AI orchestration, reusable prompt engineering techniques, and practical development workflows in VS Code.Join us as we dive into best practices for structuring AI-powered agent workflows, ensuring they are maintainable, scalable, and easy to debug.

Learn Module- https://aka.ms/IntroductiontoSemanticKernel