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

GitLab BlogGitHub

Make every AI credit count: See, cap, and reduce agent spend

10.13

Costs multiply with every task you hand to an agent. Each task consumes tokens and credits, and as agents spread across your teams and automations, consumption can grow faster than usage.

Agents & vibe coding

Read at GitLab Blog ↗

One letter a week, starting soon.

Latest

Make every AI credit count: See, cap, and reduce agent spend

Related

GitHubScaling Git for the agentic software factory GitLab Blog

GitHubGitLab's agent orchestration eliminates the wait between development stages GitLab Blog

GitHubGitLab Transcend: Speed you can trust, all the way to production GitLab Blog

GitHubDeepSeek-Reasonix: How a poisoned config can hijack an AI coding agent GitLab Blog

VoicesHow Anthropic’s Dynamic Workflows Coordinate Claude Agents (Updated with video!) Latent Space

SiliconMeet the Anthropic Engineer Keeping Its AI Agent Trustworthy IEEE Spectrum AI