The name is the button.

An agent writes the code now, and a human thumb hovers over Accept all a hundred times a day. The honest question of this decade is what, exactly, you just accepted. So I read the diff.

Eight years as a backend engineer in Stockholm, back in Tokyo since 2023, and I still ship something small most nights, usually badly. My one rule: the only real review of a model is the thing you built with it. That is why there is no leaderboard on this site.

Around a hundred and forty sources come through — the labs' own posts, the papers, the tools, the runtimes and languages nobody is watching yet, the chip under the demo, and the newsletters people actually forward. What is moving gets counted so the week reads at a glance, and every few days I explain one mechanism in plain words.

A story here is a headline, a short excerpt, one image and the link to whoever wrote it. We never reproduce the post; the images belong to their authors. A post written in Japanese appears in Japanese, exactly as it was published, and the link goes to the original.

— Yuki Halvorsen, Tokyo

← Accept All Archive

AWS Machine LearningLabs

Adaptive agentic intelligence framework using Strands Agents

10.21

Organizations building AI agents face a common challenge: Every request, whether a routine status check or complex analysis, typically gets routed to a single large, expensive model.

Agents & vibe coding

Read at AWS Machine Learning ↗

One letter a week, starting soon.

Latest

Adaptive agentic intelligence framework using Strands Agents

Related

LabsWorkflow context for AI agents with Smartsheet MCP on AWS AWS Machine Learning

LabsFrom data to decisions: Conversational supply chain intelligence with Amazon Quick and Amazon Bedrock AgentCore AWS Machine Learning

GitHubShow HN: Omnara – Open-source alternative to Claude Managed Agents Hacker News Show

ToolsYour Agent Runs in a Docker Sandbox. Now It Can Join a Team. Docker Blog

GitHubThe bridge to agent-scale Git infrastructure GitHub Blog

GitHubFrom feral to fiduciary: making AI agents serve your interests The New Stack