Category: *Post Types

Picture this: an AI agent is answering a question about a patient population. To do it, the agent calls a tool, and the tool queries a clinical database. IAM has already given the green light — the agent can invoke this tool. OAuth scopes checked out. The gateway logged the call. But nobody in that […]

Pizza Bot is a community project rather than an AWS service, so there’s no AWS support or service-level agreement behind it; keeping Pizza Bot running, backed up, and up to date is yours. Give an agent a task actually worth delegating and you’ll be waiting a while. Ask it what needs your attention this morning […]

AI assistants can stand up an app or website that runs on AWS in minutes. Getting to a production-ready version you would put in front of real customers is still the hard part. Security, observability, type-safety, and resilience are non-negotiable for production. An assistant rarely gets all of that right in one pass, and hardening […]

MySQL — the open source database behind millions of applications worldwide — is opening a new chapter. Today, Oracle announced a community governance model for MySQL that creates pathways for the broader community to participate in the project’s development and direction. This post explains why AWS supports this move and what it means for the […]

AWS, Anthropic, Google, Microsoft, and OpenAI today announced a joint $12.5 million investment with the Linux Foundation to help open source projects address a surge in AI-enhanced and AI-generated security vulnerability reports. Both the Alpha Omega initiative and the Open Source Security Foundation (OpenSSF) will receive funding through the Linux Foundation grants. Software security is at […]

Agentic AI systems are rapidly expanding beyond the digital world and into the physical, where AI agents perceive, reason, and act in real environments. As AI systems increasingly interact with the physical world through robotics, autonomous vehicles, and smart infrastructure, a fundamental question emerges: how do we build agents that leverage massive cloud compute for […]

Jupyter notebooks have become a popular tool for data scientists, researchers, educators and analysts who need to experiment with code, visualize data, and document their findings. Many users run Jupyter on their laptops. This creates limitations to collaborate with a distributed team because users cannot securely provide direct access to their local JupyterLab application over […]

Today we are introducing CLI Agent Orchestrator (CAO, pronounced “kay-oh”), an open source, multi-agent orchestration framework that transforms how developers work with AI-powered CLI tools such as Amazon Q CLI and Claude Code. While individual developer CLI tools excel at focused tasks with sophisticated reasoning and autonomous execution, complex enterprise development projects often require coordination […]

Until recently, building AI agents meant wrestling with complex orchestration frameworks. Developers wrote elaborate state machines, predefined workflows, and extensive error-handling code to guide language models through multi-step tasks. We needed to build elaborate decision trees to handle “what if the API call fails?” or “what if the user asks something unexpected?” Despite this effort, […]

At AWS, we design cloud services that give customers the freedom to choose technology that best suits their needs. Our commitment to interoperability with open standards and open source technologies is a key reason customers choose AWS. This is one of the reasons why we launched Amazon DocumentDB (with MongoDB compatibility) in 2019. Amazon DocumentDB […]