In this post, we will discuss about the evolution of prompt engineering to context engineering.

In this post I will talk about agent 2 agent protocol and how it can be implemented in C#. This is a very simple implementation wihtout considerating complexity of high level frameworks. I will try to showcase the concept at a core level.

In this post we will see the Agent 2 Agent (A2A) protocol and its significance in the realm of AI agents. This is introductory post to the core concepts of A2A.

In this post I will talk about Matrix, an Agentic AI development platform that I have been working on. .

In this post I will show how to test a mcp server using inspector tool. We will utilise a mcp server created in my earlier blog post.

In this post I will show how to integrate tools exposed by a MCP server and integrate them with Semantic Kernel using the Plugin features. We will also use Azure OpenAI to call these tools.

In this post I will show how to integrate tools exposed by a MCP server and consume them through a LLM call made using raw Azure OpenAI client libraries.

In this post I will talk about model context protocol and how it can be implemented in C#. This is a very simple implementation wihtout considerating complexity of high level frameworks. I will try to showcase the concept at a core level.

This post highlights the benefits of Semantic Kernel vector memory and its use in developing AI Agents. It also shows how to utilize Azure Search to store and retrieve the vectors and use them in the AI Agents.

We will see how to implement the orchestration in your agentic ai systems.