Archive
Tag: AI Developer Platform
AWS’s Well-Architected Agent Audits Your Cloud Setup and Hands Back the Code
Amazon Web Services (AWS) on Thursday released a public preview of its Well-Architected Agent, an AI service designed to examine a customer’s cloud infrastructure, compare it against the company’s standards for how systems should be built, and return specific fixes. AWS described it as working like an experienced cloud architect, which is a notable framing […]
AWS Releases Strands Decider 2B, a Small Model for an AI Agent’s Routine Decisions
In the 16 months since Amazon Web Services (AWS) released Strands Agents, its open-source SDK for building AI agents, the project has steadily grown beyond that original toolkit. Since then, the company has added a labs program for experimenting with new approaches to agentic AI and released a harness for running agents, among other things. […]
AWS Launches Strands Harness, an Agent That Brings Its Own Everything but the Model
Amazon Web Services (AWS) has a new tool for developers. On Monday, the company released its Strands harness, a ready-to-run agent that can search the web, run commands, edit files, remember what it did yesterday, and hand off work to helper agents. The only thing that’s missing is the intelligence to direct it. That’s the […]
AWS Scales Its Free Student Coding Program 12x, From 11 Universities to 132
Amazon Web Services is expanding its free student coding program twelvefold. On Tuesday, the company opened Kiro for Students to 121 more universities across 18 countries. It’s a jump from the 11 campuses it started with in the U.S. and Canada. Students at all 132 schools need only a university email and a one-minute SheerID […]
Agent Plugins Explained: What the New AI Standard Actually Does
You may think of the agentic world as the Wild West, but over the past two years, technologists have been developing rules of the road. Anthropic’s Model Context Protocol settled how agents access external tools. Google’s Agent2Agent and Cisco-backed AGNTCY took on the question of how agents reach each other. Now, there’s Agent Plugins, a […]
Why AWS Built Dogwood, an Open-Source Policy Language That Limits What AI Agents Can Do Over Time
You’ve tasked your AI agent to process vendor payments on your behalf. An invoice arrives one day, and the agent autonomously handles the transaction. It runs like clockwork—until the morning you find your bank account overdrawn. Digging in, you discover payments to vendors who never submitted an invoice and, in a few cases, never delivered […]
Web IQ Is Microsoft Rebuilding Search Around the Machines
Search engines learned what a good result looked like by observing how people behaved. A click followed by a long page stay signaled satisfaction, while a quick bounce back to the search results signaled a miss. Microsoft built its Bing search engine on those patterns. But in the AI era, there’s a type of user […]
Microsoft Debuts MAI-Thinking-1, Its First In-House Reasoning Model
For most of the generative AI era, Microsoft has been the most prominent buyer of someone else’s intelligence. Its Copilot stack runs on OpenAI’s GPT models. Azure customers reach for frontier reasoning through the partnership. The arrangement has worked, and it has also been a structural dependency that the company has spent the last year […]
Don’t Believe the Hype: AI Capabilities May Not Create Real-World Value
Kevin Scott always has something to say on the eve of Microsoft Build. The company’s chief technology officer shares his read on where technology is headed, typically in step with whatever the company is about to announce. This year, I joined executives, developers, and my fellow journalists in a downtown San Francisco bar as Scott […]
CoreWeave Wants Enterprises to Ship Agents First and Fix Them Later
Building reliable AI agents has traditionally meant doing most of the hard work before anyone uses them. Developers run lengthy offline evaluations against labeled datasets, measure performance across quality, accuracy, cost, and style benchmarks, make improvements, and repeat the cycle until the numbers look acceptable. Only then does the agent get deployed to users. CoreWeave […]