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

InfoQ AIGitHub

Presentation: Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray

10.20

The speakers discuss transitioning AI agents from local FastAPI prototypes to resilient production systems on Kubernetes using Ray.

Agents & vibe coding Research Agents QCon AI Boston 2026 Machine Learning Large language models

Read at InfoQ AI ↗

One letter a week, starting soon.

Latest

Presentation: Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray

Related

GitHubArticle: From Microservices to Agents: the Next Evolution of Distributed Systems InfoQ AI

ToolsCoding-Agent Benchmarks Should Match Their Users’ Task Flows JetBrains Blog

VoicesNew paper: Emerging trends in AI agent evaluation AI Snake Oil

LabsFour evaluation engineering lessons learned from building agent plugins Google Cloud AI

Voices[AINews] Agents disprove Polysemanticity; greatly improve Interpretability & Alignment Latent Space

ToolsScaling Kimi K3 on AMD Instinct MI355X: Matching NVIDIA HGX B300 Throughput per GPU on AgentX vLLM Blog