Articles
Actualités, annonces et témoignages d'Anthropic sur Claude et ceux qui le font évoluer.
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Claude Code in the cloud: a field guide to cloud sessions
What changes when Claude Code runs on its own machine, the workflows where that pays off, and how to connect GitHub on the first try.
Getting started with Claude Code mods
Customize Claude Code with mods
Change how Claude Code behaves and looks with a few lines of TypeScript.
Claude Sonnet 5.5
Introducing Claude Sonnet 5.5, the second model in the Claude 5.5 family. It’s a clear upgrade over Claude Sonnet 5, runs 30%+ faster, and costs up to 30% less for most work.
Using Claude Code: Spending your effort
What effort really is and when to use which level in Claude Code, from my own tests of three builds and a deep dive into Terminal-Bench 3.0 on Opus 5.5 and Fable 5.1.
What a task costs on Opus 5.5
The same token price can cost very different amounts per task. Learn what Claude Code tasks cost on Opus 5.5 and which settings change the bill.
Coding sessions are longer and use more context. Claude Opus 5.5 is built with that in mind.
Our latest Opus model is priced and trained to optimize costs for how developers code now.
How to prepare for AI-driven code modernization projects
How to organize AI-driven modernization projects for critical systems and regulated enterprises.
Getting the most out of Opus 5.5 in Claude and Claude Code
How to prompt Opus 5.5, steer a long run, and check your results in Claude apps and Claude Code.
Projects redesigned: from folder to conversation
A new experience for Claude projects, now available in beta in Claude Code
Working at the frontier: How Balyasny Asset Management evaluates and governs Claude Fable 5
Balyasny Asset Management (BAM) Chief AI Officer Charlie Flanagan on why the firm uses Claude Fable 5 and the role of safeguards in deploying frontier intelligence safely and reliably across the organization.
Agentic coding is straining CI. Here’s how we scaled test impact analysis at Anthropic
Our CI job volume increased 25x over 6 months. We patched our test selection service three times before finding a sustainable solution.