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.

In this post I will describe how to protect your agents against a prompt injection attack.

This post highlights the benefits of Semantic Kernel and its use in developing AI Agents

This post discusses the concept of API rate limiting, its importance, and common use cases.

In this post we will see what a multi agent systems is, its patterns and how it can be used to solve complex problems.

We will see what are AI Agents and what type of challenges it solves.

This post highlights the usage of Angular Elements to create reusable features.

In this post we will see how to build a robust ecosystem around OpenAPI. We will see sample implementations and best practices around .NET 8.