1. Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams Cost management for generative AI is a shared responsibility between the teams that build applications and the teams accountable for cloud spend. Many teams start by comparing per- 10/31 06:42 ♡
2. Preview web apps live as your coding agent builds them with Amazon Bedrock AgentCore runtime Coding agents now build working web apps: a dashboard, a product page, a prototype that a product team wants to try. The fastest way to review that work is to open the app, use it, 10/31 05:40 ♡
3. How Worldwide Express automated freight exceptions with Amazon Bedrock Worldwide Express (part of ShipStation Global) had built something big: approximately $5 billion in systemwide revenue, over 75 less-than-truckload (LTL) carriers and more than 130 10/31 01:32 ♡
4. Configure the ChatGPT desktop app with Amazon Bedrock in AWS GovCloud (US) The ChatGPT desktop app is now available on Amazon Bedrock in AWS GovCloud (US) , providing access to OpenAI’s frontier models through two components. Work completes complex, multi 10/31 01:27 ♡
5. How the UK Amazon Quick User Group grew in 2026 The Amazon Quick User Group – United Kingdom is a community of Amazon Quick users in the United Kingdom who meet quarterly to exchange knowledge, share best practices, learn throug 10/30 04:16 ♡
6. Building intent-driven UI testing with Amazon Nova Act To scale intent-driven UI testing across its product teams, Epsilon , a data, technology, and marketing-services company and part of Publicis Groupe , turned to Amazon Nova Act . W 10/30 02:20 ♡
7. Build a repeatable PHP-to-Java migration engine with Kiro When your team moves a mature PHP application to Java, you gain stronger type safety, broader library support, and more predictable scaling. A PHP codebase built over the years wit 10/30 02:14 ♡
8. Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs With the launch of AWS Batch support for Amazon SageMaker Training jobs, customers gained a new fully managed way to queue, schedule, and retry machine learning (ML) training workl 10/30 00:58 ♡
9. How MoEngage turned over 400 APIs into agent tools with AgentCore Gateway This post was co-written with Nikhil Kumar and Shakir Khan from MoEngage. When engineering teams start building AI agents, the capabilities those agents need usually already exist 10/30 00:54 ♡
10. Accelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS NVIDIA Nemotron 3.5 Super VL joins the NVIDIA Nemotron 3 Nano , Nano Omni , Super , Ultra , and Nemotron 3.5 Lightning models already available on AWS. It’s a 120B-parameter mixtur 10/30 00:11 ♡
