AI Agents: Key Principles and Guidelines - Part 3
This blog post, the third in a series on AI agents, focuses on user-centric design principles for building effective and trustworthy agentic systems. Drawing from the "Agentic Design Patterns" section of Microsoft's "AI Agents for Beginners" GitHub repository, the post outlines key principles categorized by Agent (Space), Agent (Time), and Agent (Core). These principles emphasize connection, accessibility, leveraging historical context, adapting to future needs, and establishing trust through transparency and control. Practical implementation guidelines are provided, along with a travel agent example to illustrate how these principles can be applied in real-world scenarios. The post also links to additional resources and previous installments in the series for a comprehensive learning experience.Get started with Node.js in 26 short videos
Getting started with any new technology is hard, and very time-consuming. Node.js being my favorite platform, I've always wanted to give something back to this awesome community. That's why with some awesome friends, we created this series of practical, bite-sized videos about Node.js for beginners, so you can learn the foundations at your own pace.
Using Microsoft Learn new API to enable amazing content for a blended learning curricula
Welcome to the new Microsoft Learn Catalog API (Beta) The Microsoft Learn Catalog API (beta) lets you send a web-based query to Microsoft Learn and get back details about published content such as titles, products covered, and links to the training.
