Welcome back to CodeComment, the series where we move beyond just skimming the documentation. We read it, we break it down, and we connect the dots. In this episode, we’re diving headfirst into a topic that’s reshaping how we think about building AI-powered applications: the Microsoft Agent Framework.
The reading of the Microsoft learning page (Part 1)
If the official documentation feels a bit abstract, you’re in the right place. We’re going to do what we do best: read the Microsoft Learning page from top to bottom, translate the key concepts in the next section. Let’s read the future of AI development, one line of documentation at a time.
The common definitions and diagrams (Part 2)
To navigate this landscape effectively, we must first establish a clear and common vocabulary. An AI Agent, often just called an agent, is an AI that can perceive its environment, make decisions, and execute actions to achieve a specific goal. In this section we are going to explore some common definitions and Microsoft diagrams.
And there you have it. We’ve journeyed from the concepts on the Microsoft Learning page, through the essential definitions, and right into the practical mechanics of how an AI agent acts. The Microsoft Agent Framework isn’t just a new library; it’s a new paradigm for building applications that are truly intelligent and proactive.
We hope this deep dive has helped clarify not just the “what,” but the “why” and the “how.” If you found this useful, please give us a like, subscribe for more episodes of CodeComment, and let us know what other documentation you’d like us to deconstruct in the comments below. Thanks for reading, and until next time, keep coding.
