AI · Articles | ArcBlock

OpinionAug 21, 2026

Equalized capability does not automatically concentrate

When AI equalizes the ability to build, control does not automatically tighten. Many small units and home tools can coexist; super-individuals and giant canteens are not the default.

OpinionAug 21, 2026

If you still picture the old software and the old software company, you will misread this shift

Many people still imagine software as slow, expensive craft, and software companies as hiring engines. Both have changed. Building it is no longer the main bottleneck.

ProductAug 20, 2026

Where your AI spend goes: an introduction to Agent Observability

Every model call an agent makes is written to a ledger. This is where those ledgers live, which of the three pages answers which question, whose data you are allowed to see, and the two boundaries you have to know before you read a number off any of them.

OpinionAug 18, 2026

After Software: Collaboration, Production, and How Value Gets Shared

Making software no longer requires making a company first. When productive capacity is scattered across people and AI, collaboration, ownership, and value need a new organization.

EngineeringAug 18, 2026

Unattended (Autopilot) Loop Engineering: We Open-Sourced New Agent Skills That Free Your Hands

The last pair of skills got us out of two-terminal paste. These four take you off duty. People spend more time on decisions, taste, and responsibility. Agents do the busywork. issue-review, issue-sweep, pr-review, and pr-sweep are open source.

NewsAug 14, 2026

ARC Now Supports the MCP 2026-07-28 Specification

ARC already spoke MCP. This upgrade aligns that surface with MCP 2026-07-28: stateless streamable HTTP and standard OAuth discovery so third-party agents can reach Blocklets without a special bridge.

EngineeringAug 13, 2026

We Open-Sourced a Skill So Code Agents Don't Eat Your Drive with Worktrees

We open-sourced another agentloop skill: git-hygiene. More parallel agents means more local branches and worktrees; a 1TB drive fills faster than you'd guess. The skill proves a delete is safe before it runs it.

OpinionAug 10, 2026

The Infrastructure Came First. The Residents Are Arriving.

Not a pivot from blockchain to AI. The harder claim is simpler: roads and utilities can be built early, but a digital city only comes alive when residents who can work around the clock walk in.

OpinionAug 10, 2026

Builders Change. Your Property Stays.

Most people will not manage API keys. They will hire agents. The real question is not which model is smarter, but whose ground the worker stands on when the job is done.

OpinionAug 8, 2026

Don't Take Your Project to an Agent Factory. Invite Agents Into Your Own Realm.

The important question is not whether an AI model runs locally. It is whether a project remains a place where its people can see, govern, and recover its context, authority, evidence, and change.

OpinionAug 7, 2026

A Useful Token Must First Stand for Something of Real Value

AI services already use credits to meter storage, compute, and API calls. As Agents begin to act across systems, the important work is not giving those units a fashionable name. It is making the rights, authority, and usage they represent possible to verify and reconcile.

OpinionAug 2, 2026

AI Agent に必要なのは、ウォレットだけではない

支払いは AI Agent と Blockchain の最も目に見えやすい接点だ。しかし、より根本的な問いは、Agent は誰なのか、誰が認可したのか、何をできるのか、問題が起きたときにどう照合するのか、ということにある。

EngineeringJul 29, 2026

Our Loop Engineering in Practice: From Two Terminals to a Pair of Open-Source Skills

We have open-sourced a pair of agent skills, design-review and build-phases. They are meant to be used together, and they solve one problem: when AI takes on a reasonably complex task, the plan drifts. Both grew out of using IDD.

OpinionJan 20, 2026

この度、私たちはAI開発における一連のスキルと方法論であるIDD（Intent Driven Development）をオープンソース化いたしました。

私たちは、IDD（Intent Driven Development）と名付けた一連の方法論とツールチェーンをオープンソースとして公開しました。その核心となる理念は、簡潔に言えば、AIに「何を達成したいのか」を伝え、「何をすべきか」を指示するのではない、というものです。AIによるプログラミング支援が

OpinionJan 19, 2026

AI開発の第一原理：CIを止め、コードレビューを捨て、AIペアプログラミングを採用した理由

この数ヶ月、チームでAI開発ツールの集中的なイテレーションを行ってきた。多くの壁にぶつかり、直感に反する発見もいくつか検証できた。核心的な結論：LLMの開発効率、開発能力、開発品質は完全に実証済みで、疑いの余地はない。ただし、最大の価値を引き出すには、正しい協業方法を身につける必要がある。従来のエン

EngineeringJan 13, 2026

ALP（アクティブローディングポリシー）：AIコンテキストグラフ管理におけるシンプルなパターン

Claude CodeのようなAIアシスタントと作業する際、最初の「蜜月期間」を過ぎると、ある根本的なジレンマが浮き彫りになります。AIには、あなたの好み、コードベースの慣習、製品知識、思考様式といった、必要なあらゆるコンテキストを持たせたいと誰もが望むでしょう。しかし、あらゆる情報を事前に与えすぎ

ReleaseNov 17, 2025

ArcSphere 1.6：複数の Sphere と音声 AI で、もっとスマートにナビゲート

こんな場面に心当たりはありませんか？仕事に集中したいのに買い物リストのタブが混ざる、ページ全体ではなく重要な数段落だけを残したい、といった悩みを ArcSphere 1.6 が解決します。

NewsJun 5, 2025

ArcBlock、AGNTCYと提携し、『エージェントのインターネット』を加速

ArcBlockは、AIが抱える最大の課題の一つである異なるプラットフォームのエージェント間での連携という問題に取り組むオープンソースの共同組織である AGNTCYに参画します。この提携により、ArcBlockはCisco、LangChain、MongoDBといった企業と肩を並べ、協調型AIのインフ