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

GitHub ChangelogGitHub

Copilot code review: API support and new default effort level

October 2

You can now request a GitHub Copilot code review through the REST and GraphQL APIs and set the review effort level for each request. Balanced is also now the default review effort level.

Agents & vibe coding MCP, skills & tools

Read at GitHub Changelog ↗

One letter a week, in your inbox.

Latest

Copilot code review: API support and new default effort level

Related

ToolsBuild anything: Supabase from code, and an MCP server for your app Supabase Blog

ToolsIntroducing Web Search API via AI Gateway Cloudflare Blog

GitHubOpenAI DevDay 2026 Recap for Developers InfoQ AI

GitHubCloudflare brings paid access to MCP tools — who controls the agent’s spending? The New Stack

SiliconBuild Applications on NVIDIA BlueField Faster with NVIDIA DOCA Agent Skills NVIDIA Technical Blog

LabsBuilding ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows AWS Machine Learning