Latest

On the calendar

予定 · Conferences and launch events, this week's stories from each corner of the industry, and what its press is covering — in English

On view

This week, from that corner the newest stories from the corner of the industry you picked

The wire their own posts, translated

How code moves in 2026 from the industry's own reports

Sources

Fetched every three hours, linked to the original

About

Accept All is a magazine, a radar and a diary about artificial intelligence and the craft of code — read from Tokyo, for people who build.

The name is the button. Code is written by agents now and reviewed by a human thumb that hovers over Accept all a hundred times a day; the whole question of this decade is what, exactly, you just accepted. So we read the diff. A magazine, because every week one model, one tool or one idea is worth reading about slowly. A radar, because we count what the labs, the Valley, GitHub and the chip makers are talking about — releases, agents, open weights, compute, funding, rules — and show it as it moves. A diary, because a seal is set each day in that day's colour, and the days add up.

We read the research labs' own posts, the American and European tech press, the Japanese and Chinese developer sites and the newsletters people actually forward, and bring it together in English and Japanese. Everything here links back to the people who wrote it; the images belong to their authors.

Accept All will keep changing. New sources, new signals, new ways of looking — a little better each week, never finished. If something here made you open a terminal, that is enough.

Thank you for reading. ありがとうございます。

← Accept All Archive

Zenn (AI)Japan

生成 AI が書いたコードが壊れるときの典型 3 パターン——自分のリポで踏んだ実例と、見つけ方

September 15

生成 AI に書かせたコードは、どこで壊れるのか。症状の一覧ではなく、自分のリポジトリ（Rust／Tauri のデスクトップアプリ・クローズドβ・ソロ開発）で実際に踏んで直した 3 件を、PR と commit の番号つきで書きます。ローカル LLM に書かせた 120 本を測った結果も添えます。先に結論自分のリポで踏んだ壊れ方は、大きく 3 つだった——失敗を隠す／無いものを本当らしく書く／検証が緑のまま通る。 3 つとも、コード

Read at Zenn (AI) ↗

One letter a week, in your inbox.

Latest

生成 AI が書いたコードが壊れるときの典型 3 パターン——自分のリポで踏んだ実例と、見つけ方

Related

Japan【サプライチェーン】その MCP サーバー、誰が作ったか知っていますか Zenn (AI)

Japanバイブコーディングで GUI が壊れていく理由とその対策プロンプト Zenn (AI)

JapanFrontend Conference Fukuoka 2026で学んだこと Zenn (AI)

JapanAIに世界を認識させるのをやめて、世界を書かせた話 Zenn (AI)

Japan【10%割引リンクあり】Raycast料金改定まとめ AIクレジット制でPro/Pro+/Maxはどう選ぶべきか" Zenn (AI)

JapanAIにPythonのルールを守らせるフック構成と、迂回への対策 Zenn (AI)