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Signal of the week

Agents & vibe coding · 99 stories, +77 vs last week

Agents & vibe coding: 99 stories in seven days, +77 on the week before.

The Anatomy of Harness Engineering: How to Evaluate, Iterate, and Guard AI Coding Agents

LabsThe Anatomy of Harness Engineering: How to Evaluate, Iterate, and Guard AI Coding Agents Google Developers Blog

Announcing ADK for Kotlin 1.0: Building Production-Ready AI Agents in Kotlin, Android, and Beyond

LabsAnnouncing ADK for Kotlin 1.0: Building Production-Ready AI Agents in Kotlin, Android, and Beyond Google Developers Blog

Latest

The Anatomy of Harness Engineering: How to Evaluate, Iterate, and Guard AI Coding Agents

Google Developers BlogLabsThe Anatomy of Harness Engineering: How to Evaluate, Iterate, and Guard AI Coding Agents While end-to-end benchmarks like SWE-bench provide broad performance scores for AI agents, they are often expensive, slow, and lack the root-cause diagnostics needed to explain exactly where an agent's logic broke down.

Announcing ADK for Kotlin 1.0: Building Production-Ready AI Agents in Kotlin, Android, and Beyond

Google Developers BlogLabsAnnouncing ADK for Kotlin 1.0: Building Production-Ready AI Agents in Kotlin, Android, and Beyond Google has officially released version 1.0 of the Agent Development Kit (ADK) for Kotlin, achieving full feature parity with the Python and Java ADK cores to enable idiomatic, multi-agent AI development. Built on Kotlin

Driving Developer Excellence: Inside the Program Sprints

Google Developers BlogLabsDriving Developer Excellence: Inside the Program Sprints The Gemini Enterprise Developer Experience (DevEx) program conducts ongoing sprint testing of end-to-end developer workflows to identify and rapidly resolve friction points without relying on internal shortcuts. This rec

AWS Machine Learning

AWS Machine LearningLabsBuild an end-to-end RFI questionnaire workflow using Amazon Quick Automate <p>Build an end-to-end Request for Information (RFI) questionnaire workflow using Amazon Quick Automate to solve a challenge organizations face at every scale. A typical enterprise might handle hundreds of RFI questionna

AWS Machine Learning

AWS Machine LearningLabsModel-agnostic PII detection with LLMs <p><em>A configurable, instruction-driven detector that runs on any large language model (LLM) managed on Amazon Bedrock, evaluated on five public PII corpora across nine LLM-based detectors, including the OpenAI Privacy

How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules

OpenAI NewsLabsHow a researcher uses Codex and ChatGPT to search for new antimicrobial molecules César de la Fuente’s lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates to fight drug-resistant infections.

3 ways to prep for your next big race with Search

Google AI BlogLabs3 ways to prep for your next big race with Search <img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/Search_Race_Running_Tips.max-600x600.format-webp.webp">Search can help runners get race-day ready with registration alerts, tailored training plan

AWS Machine Learning

AWS Machine LearningLabsAgent Evaluation Metric for multi-turn conversations <p>Multi-turn agents fail in ways that single-turn evaluation misses: one early mistake quietly corrupts every later turn. This post introduces the Agent Evaluation Metric (AEM), a decomposable, turn-level way to measure

ayghri/i-have-adhd

GitHub Trending (daily)GitHubayghri/i-have-adhd

Tencent/teamai-cli

GitHub Trending (daily)GitHubTencent/teamai-cli

obra/superpowers

GitHub Trending (daily)GitHubobra/superpowers

DietrichGebert/ponytail

GitHub Trending (weekly)GitHubDietrichGebert/ponytail

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。