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

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The New StackGitHub

What managing 150,000 AI agents could look like for database teams

September 24

The database administrator of the future will spend considerably less time administering databases. That sounds contradictory, but AI agents are taking over that work.

Agents & vibe coding

Read at The New Stack ↗

GitHubCursor acquired Firetiger. A month later, it launched a bot that tracks code changes from PR to production. The New Stack

GitHubAnthropic made Opus 5.5 cheaper. Then it broke four things your agent depends on. The New Stack

GitHub“One of the most significant steps in our 26-year history”: JetBrains goes big on agentic development — and bets the IDE still matters The New Stack

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What managing 150,000 AI agents could look like for database teams

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GitHubCursor acquired Firetiger. A month later, it launched a bot that tracks code changes from PR to production. The New Stack

GitHubAnthropic made Opus 5.5 cheaper. Then it broke four things your agent depends on. The New Stack

GitHub“One of the most significant steps in our 26-year history”: JetBrains goes big on agentic development — and bets the IDE still matters The New Stack

JapanClaude Codeで副業ブログ＋Xを90日自動運営した実録 Zenn (AI)

AsiaAs AI agents scale, H3C shifts the focus from more GPUs to better Token efficiency TechNode

EuropeKontext raises $4M for runtime security platform for AI agents Tech.eu