Archive
Tag: AWS
AWS Is Trying to Make Kiro the Most Trustworthy AI Coding Tool in the Room
In software development, the costliest mistake rarely lives in the code. It lives in the requirements that came before it. Typically, the issue arose because a developer interpreted the specs differently from the author—and that’s human-to-human. Imagine how much more challenging this can be when vibe-coding. That’s why Amazon Web Services (AWS) is updating its […]
ServiceNow’s AI Control Tower Lands Inside Amazon Bedrock Agentcore
Enterprises that have gone the build-your-own route with agentic AI—picking their own models and standing up their own agent infrastructure on platforms like Amazon Bedrock AgentCore—have had to figure out governance themselves. ServiceNow is offering them a shortcut. The company on Wednesday connected its AI Control Tower with AgentCore, giving customers a single layer to […]
AWS Gives AI Agents the Authority to Spend With AgentCore Payments
Amazon Web Services (AWS) is building the infrastructure that lets AI agents transact on behalf of humans—with their consent, of course. At its Financial Services Symposium on Thursday, the company unveiled AgentCore Payments, a set of features within Amazon Bedrock that lets AI agents access and pay for the resources they use. Built with Coinbase […]
AWS Cuts the Setup Tax on Agent Development With New Agentcore Tools
Amazon Web Services (AWS) is moving to eliminate one of the biggest time sinks in AI agent development. On Tuesday, the company introduced a managed agent harness within Amazon Bedrock AgentCore, a prebuilt infrastructure layer that handles orchestration, compute, tool connections, and session state, so developers can test agent logic without building backend plumbing first. […]
AWS Unveils Agent Registry to Bring Order to Enterprise AI Sprawl
Every major enterprise software vendor—Amazon Web Services, Microsoft, Salesforce, ServiceNow, SAP—is racing to plant a flag in what they’ve variously dubbed the “frontier firm” or the “agentic enterprise.” The pitch is the same regardless of the branding: the future of work runs on digital labor. But as agent deployments multiply, so does the risk. Knowing […]
AWS’s Frontier Agents Are Now GA—Ready to Automate Your DevOps and Security Headaches
AWS’s “Frontier Agents,” autonomous programs capable of building, securing, and operating software, have launched—well, two of them, at least. Coming nearly five months after their introduction at last year’s re:Invent conference, developers can use the AWS DevOps and Security agents to automate their delivery pipelines and protect their apps from vulnerabilities. But, for those hoping […]
AWS Launches Kiro Students to Give College Developers Free Access to Its AI Coding Tool
Amazon Web Services is aiming to make AI-powered software development easier for early-stage developers. On Wednesday, it debuted Kiro Students, a new plan giving college students free one-year access to Kiro, AWS’s vibe coding tool. However, there is a catch: it comes with a 1,000 monthly credit limit and will initially be available only to […]
AWS Launches Strands Labs as a Sandbox for Exploring Autonomous AI
Last summer, Amazon Web Services (AWS) introduced Strands Agents, an open-source SDK that lets developers build and run AI agents with just a few lines of code. The project has since gained momentum, exceeding 14 million downloads. And now, the company is introducing its next step: Strands Labs, a new GitHub organization aimed at helping […]
AWS Unveils ‘AI Factories’ to Build Sovereign-Grade AI Infrastructure for Governments and Giants
Amazon Web Services (AWS) has worked with many large companies to develop large-scale AI infrastructure, from Anthropic to Saudi Arabia-backed HUMAIN. Now, the company wants to make it easier for the public sector to access the same capabilities, without the heavy investment. At this year’s re:Invent conference, the tech firm announced the launch of AI […]
AWS Makes Trainium3 and Trainium3 UltraServers Generally Available, Previews Trainium4 Custom AI Chip
Last year, Amazon Web Services introduced Trainum3, its third-generation chip for training large language models (LLMs). At the time, these were state-of-the-art and twice as fast as their predecessors. However, as AI models become larger and more complex, a better way is needed to reduce latency and training times. Today, the company is introducing Amazon […]
