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This post shows how to create your own Model Context Protocol (MCP) server with C# and .NET. You will use Amazon Q Developer Command-Line Interface (Amazon Q CLI) as an MCP client. The Model Context Protocol (MCP) is an open standard that lets Artificial Intelligence (AI) models safely interact with external tools and resources. MCP enhances […]

In today’s rapidly evolving technology landscape, Amazon Bedrock and .NET Aspire help in integrating AI capabilities into your applications. Amazon Bedrock, a fully managed service offering access to various Foundation Models (FMs), combined with .NET 9, creates a robust foundation for building such applications. .NET Aspire is an opinionated, cloud-ready stack for building observable, production-ready, […]

AWS recently added AWS Lambda SnapStart support for .NET Lambda functions to deliver faster function startup performance, from several seconds to as low as sub-second, typically with minimal or no code changes. This post explores techniques to maximize the performance gains of SnapStart for several different types of .NET workloads. For a high-level overview and […]

Introduction This post continues our blog series on modernizing .NET Framework applications to cross-platform .NET using Amazon Q Developer .NET transformation. We’ve already covered porting class libraries in Part 1, test projects in Part 2, and Web API applications in Part 3. In this fourth installment, we’ll focus on migrating ASP.NET MVC applications to ASP.NET […]

Introduction Imagine you want to create intelligent text summarization tools without managing infrastructure. How can you efficiently build AI-powered solutions that can transform lengthy documents into concise summaries? Amazon Bedrock, a fully managed service from AWS, addresses this challenge by optimizing text summarization through its Converse API. The Converse API provides a standardized interface for […]

Generative AI is taking chatbots to the next level by empowering them to engage in human-like dialogues. These advanced conversational agents understand and respond to complex queries, provide personalized assistance, and even generate creative content. This blog post shows how to build a context-aware chatbot using Amazon Bedrock and LangChain in a .NET environment. The choice […]

Ulili Nhaga contributed to this article. When building applications, ensuring proper security and access control is crucial. One way to achieve this is by implementing a Role-Based Access Control (RBAC) authorization system. This blog post will discuss implementing RBAC for .NET applications using Amazon Cognito with OpenID Connect (OIDC). We will guide you on how […]

Introduction Large language models (LLMs) are driving the rapid growth of semantic search applications. Semantic search understands both user intent and content context, rather than just matching keywords. LLMs enhance this capability through their advanced language processing abilities. These AI models can process multiple content formats, including text, images, audio, and video. The users receive […]

Razvan Pat contributed to this article. Introduction As .NET developers, we often find ourselves at a crossroads when venturing into the world of machine learning and AI. While Python dominates this space, what if you could leverage your C# skills in a powerful machine learning (ML) environment? That’s exactly what we’re exploring today: how to […]

Introduction In the .NET world, the modernization process for .NET Framework applications can be complex, presenting significant challenges for enterprise software development teams. Organizations with extensive .NET Framework codebases face critical decisions about migrating traditional applications to modern .NET and Linux, including careful analysis of dependencies and how to handle compatibility constraints. Existing libraries may […]