#claude

For anyone building with Claude or Claude Code, this post is interesting because it gets at a very practical question: how do you train a model to behave well when it’s acting more like an agent than a chatbot? Anthropic’s answer here is less about making Claude parrot good behavior and more about helping it understand the reasoning behind good behavior. Anthropic says it has significantly reduced “agentic misalignment,” especially blackmail-like behavior in honeypot-style evals. In earlier work

For Claude and Claude Code users, this is the kind of announcement that matters more than a flashy model demo. Better rate limits usually mean fewer interruptions, and in this case the change is tied directly to a serious compute expansion, which tells you Anthropic is trying to turn infrastructure into a product advantage. Anthropic says Claude Code’s five-hour rate limits are doubling across Pro, Max, Team, and seat-based Enterprise plans. Peak-hours throttling is being removed for Claude Code

For anyone building with Claude Code, this is the kind of infrastructure update that matters more than a flashy model demo. Anthropic is not just talking about better coding features here; it’s changing the practical ceiling on how much you can actually use the product day to day. Anthropic is increasing usage limits across Claude, with a major focus on Claude Code. Claude Code’s five-hour limits are being doubled for Pro, Max, Team, and Enterprise seat-based plans. The free plan is the only one

For anyone building on Claude or shipping tools around Claude Code, a status dashboard like this is more than a curiosity: it’s a practical part of the workflow. When model calls fail, latency spikes, or logins break, developers need fast answers, not guesswork, and this page is clearly trying to fill that gap. The site is an unofficial, community-built Claude status dashboard, not affiliated with Anthropic. It tracks multiple Claude-related components, including: - claude.ai web interface - Cla

For Claude and Claude Code builders, this Ars interview is interesting because it shows Anthropic thinking out loud while the product is still being shaped by real usage, not a fixed roadmap. Cat Wu’s comments make clear that Claude Code is evolving in response to power users, compute pressure, and the weirdly fast pace of agentic development. Anthropic says it does not have a grand long-term roadmap for Claude Code; it is optimizing for fast iteration and adapting to model improvements. Cat

For Claude and Claude Code developers, this post is a nice reminder that the hardest part of shipping AI tooling is often not the model or the protocol, but the human onboarding path around it. Luke Lanchester’s workaround is tiny, slightly hacky, and honestly pretty elegant: it turns a confusing browser error into a clear landing page that tells users what to do next. Luke’s team added an MCP server for their main work tool. They ran into a common onboarding problem: users would open the MCP UR

For anyone building with Claude or Claude Code, this article lands on a very practical question: when should an agent click around a UI, and when should it call tools directly? Reflex’s benchmark makes the tradeoff feel much less abstract by showing that “computer use” can be dramatically more expensive, slower, and less reliable than structured API access on the same app. Reflex benchmarked two ways of letting Claude Sonnet operate the same admin panel: - a vision agent using browser screenshot

For Claude Code users, this repo is interesting because it isn’t trying to replace the whole experience — it’s trying to keep the workflow and swap out the model backend. That’s a very practical kind of hack: if the tool loop is the valuable part, maybe you don’t always need to pay for the most expensive brain attached to it. `deepclaude` is a wrapper/proxy that lets you use Claude Code’s autonomous agent loop with non-Anthropic backends. The main pitch is simple: keep Claude Code’s terminal UX,

What makes this demo interesting is not the circuit itself — it’s the workflow. Lucas Gerads is showing a more realistic way to use Claude Code for hardware: not as a magical circuit designer from a vague prompt, but as an agent with tools, immediate feedback, and structured access to real test equipment. Instead of asking Claude to invent hardware from scratch in plain English, he connected it to an oscilloscope and a SPICE simulator, then used that loop to validate circuits, models, embedded c

For Claude and Claude Code builders, this is one of the more interesting interpretability announcements Anthropic has made in a while. The big idea is simple but pretty wild: instead of reducing activations to opaque scores or feature vectors, Anthropic is trying to turn them into readable natural language explanations that you can inspect directly. Anthropic introduced Natural Language Autoencoders (NLAs), a method that turns model activations into text explanations and then tries to recons

From a Claude and Claude Code perspective, this is interesting because Anthropic is no longer positioning Claude as just a text-and-code assistant. Claude Design turns it into a tool for the messy middle of product work: mockups, slides, prototypes, and “show me what you mean” artifacts that usually slow teams down. What’s especially notable is the workflow connection. Anthropic is trying to make design output flow into implementation through Claude Code, which is the kind of end-to-end story th

For Claude and Claude Code developers, this is one of those updates that sounds whimsical but is actually pretty practical. Anthropic is pushing harder on long-running, multi-agent workflows, and “dreaming” is really about making memory less brittle when agents work for hours instead of minutes. Anthropic introduced “dreaming” for Claude Managed Agents at its Code with Claude conference. In this context, dreaming is a scheduled review process that scans recent sessions and memory

For Claude and Claude Code users, this is one of those quietly important infrastructure stories: Anthropic is not just shipping model updates, it’s actively reshaping access to make the product usable at scale. If you’ve hit usage caps, peak-hour throttling, or watched multi-agent workflows chew through your allowance, this announcement matters more than most model-launch headlines. Anthropic announced a deal with SpaceX to use the full compute capacity of SpaceX’s data center in Memphis, Tennes

For anyone building with Claude or Claude Code, this announcement is less about a shiny launch and more about operational convenience. Anthropic is basically saying: if your team already lives in AWS, you can now use the full Claude platform without bolting it onto a separate workflow, while still keeping the option to use Bedrock when AWS-bound data processing matters. The Claude Platform on AWS is now generally available. It gives AWS customers access to the full Claude Platform with: - AWS au

For Claude and Claude Code users, this is one of those infrastructure updates that actually matters. More compute usually means fewer bottlenecks, higher limits, and a better chance that the product keeps feeling usable as demand climbs. Anthropic says it has increased usage limits for Claude Code and the Claude API, effective immediately. Claude Code limits are being doubled for Pro, Max, Team, and seat-based Enterprise plans. Anthropic is removing the peak-hours limit reduction for Claude Code

Claude Code’s new routines feature is interesting because it moves from “helpful coding assistant” territory into scheduled, event-driven automation. For Claude / Claude Code developers, that’s a meaningful shift: you can now package prompts, repositories, connectors, and triggers into something that runs in Anthropic-managed cloud infrastructure without your laptop open. Routines are in research preview, so behavior, limits, and the API surface may change. A routine is a saved Claude Code confi

For Claude and Claude Code developers, this is less a flashy model launch than a distribution and ops story. Anthropic is basically saying: if your team lives in AWS, you can now use the full Claude platform through AWS-native auth, billing, and governance instead of treating Claude as a separate island. The Claude Platform on AWS is now generally available. It gives AWS customers access to the full set of Claude Platform features with: - AWS authentication - AWS billing - **comm

For Claude and Claude Code users, this is one of those announcements that matters less as marketing and more as infrastructure. Anthropic is clearly saying: if you’ve been hitting limits, especially on Opus-heavy API workflows or Claude Code usage, there’s more headroom now — and a lot more may be coming as new compute comes online. Anthropic says it has raised usage limits for Claude Code and the Claude API. For Pro, Max, Team, and seat-based Enterprise plans, Claude Code’s **five-hour

Claude Code routines are an interesting step toward making Claude feel less like an interactive assistant and more like an always-on workflow engine. For developers, the big shift is that Claude can now react to schedules, API calls, and GitHub events from Anthropic-managed cloud infrastructure, so the laptop no longer has to be open for the work to happen. Routines are a research preview feature, so behavior, limits, and the API surface may change. A routine is a saved Claude Code configuration

For Claude and Claude Code users, Claude Opus 4.7 is interesting less as a flashy consumer release and more as a signal about where Anthropic thinks the frontier is moving: longer-horizon coding, better self-checking, stronger multimodal work, and tighter control around high-risk cybersecurity use. The headline here is not just “better benchmark scores,” but “more trustworthy on messy, multi-step work,” which is the part developers actually feel. Claude Opus 4.7 is now generally available across

Source: [Claude Opus 4.7](https://www.anthropic.com/news/claude-opus-4-7) What happened: Anthropic announced Claude Opus 4.7, the latest Opus-tier model release. Why it matters: New Opus versions typically move the ceiling for coding, reasoning, and agentic workloads, so developers should evaluate any behavior changes before relying on it in production. What to do: If you build against Claude models, test Opus 4.7 on your highest-value prompts, regression cases, and Claude Co

AnthropicのClaude AIで、一部ユーザーがアクセスしにくい障害が発生した 公式のstatus pageでは「elevated error rates（エラー率が高い状態）」と案内されていた Android Authorityの確認でも、会話が開けないなどのエラーが出ていた その後、Claudeのstatus trackerは「operational（通常稼働）」に戻った 朝の段階で起きたトラブルは、少なくとも記事更新時点では解消したようだ Android Authorityによると、AnthropicのAIチャットボット「Claude AI」で、2026年5月13日の朝にサービス障害が発生しました。 要するに、「Claudeに話しかけても返事が来ない」「画面がうまく開けない」といった状態です。 こういうときによく出るのが、公式が使う少しややこしい表現である “elevated error rates”。 これは直訳すると「エラー率が高い」ですが、平たく言えば「いつもより失敗がたくさん起きていて、サービスが正常に動きにくい状態」という意味です。 一般ユーザー目線だと

What happened: Anthropic documented Claude Code Routines, a new way to package repeatable Claude Code workflows for the CLI coding agent. Why it matters: Routines can standardize common developer tasks and reduce prompt drift across sessions, but the linked doc is the only source here, so exact execution limits and lifecycle details should be checked there. What to do: If you use Claude Code, review the routines guide and identify one repetitive workflow you could turn into a routine

Source: [Claude Opus 4.7](https://www.anthropic.com/news/claude-opus-4-7) What happened: Anthropic announced Claude Opus 4.7. Why it matters: A new Opus release can change the quality/performance tradeoff for teams building on the Claude API, Claude Code, and agent workflows. What to do: If you depend on Opus-specific behavior, review the model notes and test your prompts, tool calls, and evaluation suites against Opus 4.7 before switching traffic. Source: [Claude Code Routin

GitHubで公開されている image-blaster は、ひとことで言うと「1枚の画像から、3D空間っぽい世界を作るための道具箱」です。 しかもただの見た目だけではなく、3Dモデル、空間の雰囲気、効果音までまとめて作れるのが特徴です。 個人的には、これかなり“夢のある”プロジェクトだと思います。 画像を渡したら、そこからClaudeが作業を進めて、ゲームや3D制作のたたき台を一気に組み上げる。 人力で最初の面倒な準備をやる代わりに、AIに「まず土台を作って」と頼めるわけで、これは作業の入り口をかなり軽くしてくれそうです。 1枚の画像から3D環境を作るためのClaude向けskillset 3Dモデル、Gaussian splat、効果音まで生成できる World Labs、FAL、ElevenLabs などの外部サービスを組み合わせている ゲーム、DCC、Webアプリなどに組み込みやすい設計 5分以内で「画像→3D世界」の試作品を作れるのが売り READMEによると、image-blasterは **“An image-to-world sk

55歳で銀行の仕事を失ったKristina Martinelli氏が、24時間以内にAIコンサルティング会社を立ち上げた 自分の分身のような custom GPT を作り、会社の設計や発信をAIで加速した ただし、AIに頼り切るのではなく「80%は人間、20%をAI」という考え方を大事にしている ChatGPT、Claude、Copilot、Gemini、Perplexityなどを用途別に使い分けている 早い段階でサブスク契約を増やしすぎると、意外とお金がかかるという学びもあった 彼女のメッセージはシンプルで、「AIは怖がるものではなく、使いこなすもの」 Business Insiderの記事が紹介しているのは、55歳で銀行の仕事を解雇されたKristina Martinelli氏の話です。彼女は中西部の銀行でポートフォリオマネージャーとして働き、さらに企業テクノロジーの世界でも長年経験を積んできました。 ところが、そのキャリアの途中で仕事を失います。ここで多くの人は「次はどうしよう」としばらく立ち止まるはずですが、彼女はかなり速かった。なんと**失職から24時間以内に、自分の会社を立

Anthropicが Claude Code向けに「Routines」 という新機能を発表 定期実行・API呼び出し・GitHub webhook などで、自動的にコーディング作業を走らせられる cronや自前サーバーを用意しなくても、Claude Codeのクラウド上で動く のがポイント 使い道は、バグの一次切り分け、PR作成、ドキュメント更新、CI失敗の対応 など 便利そうだが、コミュニティでは 信頼性や利用上限 を心配する声もある Anthropicが、Claude Codeに Routines という新機能を追加しました。ざっくり言うと、「決まったタイミング」や「外部イベント」をきっかけに、Claude Codeに作業を自動実行させる仕組みです。 これ、かなり面白いです。というのも、AIコードエージェントってこれまで「人が対話しながら使う」印象が強かったんですよね。でもRoutinesは、その一歩先に行っていて、AIを“会話相手”から“バックグラウンドで働く担当者”に近づける 動きだと思います。 InfoQによると、Rou