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Embed Quick Sight visuals using Cognito user authentication

Favorite Embedding analytics into a React application introduces complexity when you need per-user authentication. Building the identity layer that bridges Amazon Cognito and Amazon Quick Sight so that each person sees only the data their role permits adds layers of complexity that most tutorials skip. With a dedicated identity layer,

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Shared by AWS Machine Learning September 4, 2026

Set up OpenAI ChatGPT Codex with LiteLLM on Amazon ECS and Amazon Bedrock

Favorite OpenAI ChatGPT Codex with LiteLLM can provide centralized enterprise controls for generative AI coding agents. These agents help developers understand repositories, write code, run tests, and complete multi-step engineering tasks. As organizations move from individual experimentation to managed adoption, teams need a consistent way to control model access and

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Shared by AWS Machine Learning September 4, 2026

AI-driven development lifecycle using Amazon Bedrock AgentCore

Favorite Engineering teams adopting the AI-Driven Development Lifecycle (AI-DLC) with Amazon Bedrock AgentCore and coding agents like Kiro often struggle with the gap between conceptual frameworks and working code. Amazon Bedrock AgentCore is a service for building, connecting, and optimizing agents at scale with any framework or model. AI-DLC positions

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Shared by AWS Machine Learning September 4, 2026

Trinity: Agentic AI-powered transition planning for students with disabilities

Favorite This post was co-authored with Marc Steren, Odina Salihbaeva, and Aashrit Surapaneni from University Startups, a partnership between University Startups, g/d/n/a, and AWS. Trinity is a conversational AI solution that helps students with disabilities take ownership of their postsecondary planning. It was developed by University Startups, which was founded

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Shared by AWS Machine Learning September 3, 2026

From code to diagrams: Agentic architecture documentation with Amazon Bedrock AgentCore

Favorite Architecture documentation remains one of the most persistent challenges in software development as code bases evolve rapidly. Development teams often spend hours manually creating architecture diagrams, only to watch them become outdated within weeks of deployment. This documentation gap creates knowledge silos, slows developer onboarding, and complicates compliance audits.

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Shared by AWS Machine Learning September 3, 2026

Modernizing and scaling support operations with generative AI on AWS

Favorite Scaling support operations requires handling rising ticket volumes, meeting strict Service Level Agreements (SLAs), adapting to evolving compliance requirements, and maintaining documentation that quickly becomes outdated, all without proportional increases in headcount. In many teams, the knowledge required to resolve tickets is fragmented across SOPs, recordings, and tribal expertise,

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Shared by AWS Machine Learning September 3, 2026