Anthropic Acquires Bun to Boost Claude Code Performance

Dec 3, 2025
Anthropic has acquired developer tool startup Bun to enhance the performance and stability of its coding agent Claude Code, following the tool’s rapid growth to $1 billion in annualized revenue.

Anthropic has acquired Bun, a developer tool startup, announced in a press release. The acquisition follows the rapid growth of Claude Code, which reached $1 billion in annualized revenue six months after its public release.

Founded in 2021 by Jarred Sumner, Bun is an all-in-one JavaScript toolkit that combines runtime, package manager, bundler, and test runner functions. The software is known for improving speed and reliability in modern software development and has over seven million monthly downloads. Bun will remain open source under the MIT license.

Anthropic stated that integrating Bun will improve Claude Code’s performance and stability, offering faster execution and better workflows for developers. The Bun team will join Anthropic to continue developing its technology while supporting Claude Code’s infrastructure.

The company said Bun has been instrumental in scaling Claude Code since its launch and will continue to underpin the platform’s developer-focused capabilities as Anthropic expands its enterprise AI offerings.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

AI Funding News AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.