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AI agents have evolved significantly beyond chat. Writing code, persist filesystem state, execute shell commands, and managing states throughout the filesystem are some examples of things that they can do. As agentic coding assistants and development workflows have matured, the filesystem has become agents’ primary working memory, extending their capabilities beyond the context window. This …

Persist session state with filesystem configuration and execute shell commands Read More »

Monitoring competitor prices is essential for ecommerce teams to maintain a market edge. However, many teams remain trapped in manual tracking, wasting hours daily checking individual websites. This inefficient approach delays decision-making, raises operational costs, and risks human errors that result in missed revenue and lost opportunities. Amazon Nova Act is an open-source browser automation …

Automating competitive price intelligence with Amazon Nova Act Read More »

Google partnered with the Brazilian government on a satellite imagery map to help protect the country’s forests. ​ 

Here are Google’s latest AI updates from March 2026 ​ 

Your AI agent worked in the demo, impressed stakeholders, handled test scenarios, and seemed ready for production. Then you deployed it, and the picture changed. Real users experienced wrong tool calls, inconsistent responses, and failure modes nobody anticipated during testing. The result is a gap between expected agent behavior and actual user experience in production. …

Build reliable AI agents with Amazon Bedrock AgentCore Evaluations Read More »

Managing costs across multiple AWS accounts often requires finance teams to query data from several sources to get a complete view of spending and optimization opportunities. In this post, you learn how to build a FinOps agent using Amazon Bedrock AgentCore that helps your finance team manage AWS costs across multiple accounts. This conversational agent consolidates …

Build a FinOps agent using Amazon Bedrock AgentCore Read More »

Compliance audits require comprehensive evidence trails, often involving hundreds of screenshots across multiple systems. Your compliance teams likely spend hours manually navigating through GitHub repositories, AWS consoles, and internal applications, capturing screenshots at each step. This manual process is time-consuming, error-prone, and difficult to reproduce consistently across audit cycles. This post demonstrates how we automated …

Building an AI powered system for compliance evidence collection Read More »

Quality assurance (QA) automation is critical for modern software delivery. It catches regressions before production, validates user journeys at scale, and enables confident feature releases. But traditional QA automation solutions are brittle and demand specialized programming knowledge, decelerating software delivery. Automation frameworks rely on implementation details including UI selectors, element identifiers, and structural references to …

Accelerating software delivery with agentic QA automation using Amazon Nova Act Read More »

I’m excited to announce that AWS Security Agent on-demand penetration testing and AWS DevOps Agent are now generally available, representing a new class of AI capabilities we announced at re:Invent called frontier agents. These autonomous systems work independently to achieve goals, scale massively to tackle concurrent tasks, and run persistently for hours or days without …

AWS launches frontier agents for security testing and cloud operations Read More »

Veo 3.1 Lite is now available in paid preview through the Gemini API and for testing in Google AI Studio. ​