Creating an AI agent in Amazon Bedrock involves a relatively complex process. The example in this post has been simplified for clarity. Once you have your first Agent setup working, exploring all the features that AI agents in AWS offer becomes much easier. The Bedrock Agent I discuss uses a Lambda function, which can be triggered by the AI model when the user prompt indicates its usefulness. An AWS Lambda function is a serverless compute service that runs your code in response to events without provisioning or managing servers. These functions may involve complex logic, enabling the AI agent to perform sophisticated tasks autonomously.

Source

In my previous post, I detailed the process of importing open-source models, such as DeepSeek R1 from Hugging Face, into Amazon Bedrock, a fully managed service offered by AWS that gives users access to foundational models from top AI firms and Amazon. This post will explain how to access the AI models through the Bedrock API from third-party apps like VS Code or Cursor. Specifically, when using AI models like Claude Sonnet 3.5 for coding, accessing it through Amazon Bedrock offers enhanced security compared to Anthropic or model hub APIs such as OpenRouter.

Source

In a previous post, I demonstrated how to run DeepSeek R1 on your Mac or PC. Today, I will guide you through importing the Chinese open-source model that has outperformed OpenAI’s top models in various benchmarks from Hugging Face—the GitHub equivalent for hosting, sharing, and deploying open-source AI models. Hugging Face provides the hf-bedrock-import tool for this purpose, which is more straightforward than the aws bedrock create-model-import-job command.

Source

In my previous posts, I introduced Anthropic's Model Context Protocol (MCP) and explained how to install an MCP server for the Claude Desktop app. Today, I show you something more relevant for admins. My introductory article about Cline mentioned that the VS Code extension supports MCP. You will see that installing an MCP server is easier with the assistance of an AI. In this post, I will explain how to install AWS MCP, an MCP server that allows you to manage AWS resources with the help of an AI. If you don't want to be left behind, I highly recommend getting started with learning how to use AI to get your job done. This tech revolution is advancing faster than any before it. And we are only at the very beginning.

Source