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Favorite Memory lifecycle policies help long-running agents on Amazon Bedrock AgentCore stay effective by systematically managing what they remember and forget. Your agent generates memories from every conversation it conducts. If you don’t actively manage these memories, your agents will accumulate outdated context, which can degrade response quality and create
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Shared by AWS Machine Learning September 5, 2026
Favorite This post shows how to deploy a multimodal WhatsApp ordering assistant built with Amazon Bedrock AgentCore and Amazon Nova 2. Many quick-service restaurants spread ordering across an app, a website, a phone line, and the counter. Each of those is a separate system to build and run. Each one
Read More Shared by AWS Machine Learning September 5, 2026
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,
Read More Shared by AWS Machine Learning September 4, 2026
Favorite Agentic automations are transforming how enterprises run their business processes. Instead of following rigid scripts, AI agents reason about context, adapt to variation, and collaborate with people and other agents to move work forward. Amazon Quick Automate is a multi-agent automation capability within Amazon Quick that helps organizations build,
Read More Shared by AWS Machine Learning September 4, 2026
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
Read More Shared by AWS Machine Learning September 4, 2026
Favorite AI is changing the shape of the workday, and effective implementations quietly remove work, which can lead to meaningful time savings. According to a recent Gartner study, AI saves sellers nearly five hours a week. Email is often where that shift shows up first. As a company grows across
Read More Shared by AWS Machine Learning September 4, 2026
Favorite An agent that works in a notebook isn’t an agent in production. After real users arrive, you own work that has nothing to do with your agent’s reasoning. Keep one user’s session out of another’s, and hold state across turns and days. Auth for every tool the agent calls
Read More Shared by AWS Machine Learning September 4, 2026
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
Read More Shared by AWS Machine Learning September 4, 2026
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
Read More Shared by AWS Machine Learning September 3, 2026
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.
Read More Shared by AWS Machine Learning September 3, 2026