Anthropic

You might remember Project Vend: an experiment where we (and our partners at @andonlabs) had Claude run a shop in our San Francisco office. After a rough start, the business is doing better. Mostly.

We’re launching Anthropic Interviewer, a new tool to help us understand people’s perspectives on AI. It’s now available at http://claude.ai/interviewer for a week-long pilot.

Anthropic is acquiring @bunjavascript to further accelerate Claude Code’s growth. We're delighted that Bun—which has dramatically improved the JavaScript and TypeScript developer experience—is joining us to make Claude Code even better. Read more:

How will AI affect education, now and in the future? Here, we reflect on some of the benefits and risks we've been thinking about.

We're expanding our partnership with @Snowflake in a multi-year, $200 million agreement. Claude is now available to more than 12,600 Snowflake customers, helping businesses to quickly and easily get accurate answers from their trusted enterprise data, while maintaining rigorous security standards. Read more:

For the first time, Anthropic is building its own AI infrastructure. We’re constructing data centers in Texas and New York that will create thousands of American jobs. This is a $50 billion investment in America.

Anthropic is donating the Model Context Protocol to the Agentic AI Foundation, a directed fund under the Linux Foundation. In one year, MCP has become a foundational protocol for agentic AI. Joining AAIF ensures MCP remains open and community-driven.

How is AI changing work inside Anthropic? And what might this tell us about the effects on the wider labor force to come? We surveyed 132 of our engineers, conducted 53 in-depth interviews, and analyzed 200K internal Claude Code sessions to find out.

New on the Anthropic Engineering blog: tips on how to build more efficient agents that handle more tools while using fewer tokens. Code execution with the Model Context Protocol (MCP):