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

How ShipStation Global built an AI IT help desk on Amazon Bedrock AgentCore

10.13

This post is co-written with Kenneth Salmon, Edward Boswell, Jack Armstrong, Robert Banh, and Nick Ciubotariu from ShipStation Global.

Agents & vibe coding

Read at AWS Machine Learning ↗

One letter a week, starting soon.

Latest

How ShipStation Global built an AI IT help desk on Amazon Bedrock AgentCore

Related

LabsBuild long-horizon agents with Grok 4.7 on Amazon Bedrock AWS Machine Learning

LabsHow Postman runs Agent Mode for 40 million developers on Amazon Bedrock AWS Machine Learning

LabsPay-per-inference for AI agents: How BlockRun and Incarna use Amazon Bedrock AgentCore payments AWS Machine Learning

ToolsBuilding Long-Running Agents with ScaleDown and Deep Agents LangChain

ToolsSearch agent traces by behavior with AI Search in LangSmith LangChain

Meta joins enterprise agent race with Muse Wonder, facing a trust gap AI Business