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Atmrix

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Atmrix

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Anthropic Cast

06/11/25

@ Anthropic

With the background agent, we aim to simplify the process for developers to create environments where the model can run tests and make it repeatable, allowing for quick updates as code states change.

Video

How Cursor is building the future of AI coding with Claude

@ Anthropic

How Cursor is building the future of AI coding with Claude

06/11/25

Related Takeaways

Anthropic Cast

06/11/25

@ Anthropic

The background agent feature allows developers to work on multiple changes simultaneously, enhancing productivity and streamlining the development process.

Anthropic Cast

06/11/25

@ Anthropic

In large codebases, the complexity of dependencies can hinder the model's ability to run tests effectively, which is a significant challenge we are addressing with the background agent.

Harrison Chase

05/07/25

@ Sequoia Capital

Ambient agents allow for scalability, enabling thousands of them to run in the background, which significantly increases our impact.

Y Combinator Cast

12/07/24

@ Y Combinator

AI agents are expected to handle most mundane tasks, significantly lowering barriers for developers and making complex tasks like coding more accessible to everyone.

Satya Nadella

04/17/25

@ Microsoft India

The creation of agents is becoming more accessible, allowing individuals to build numerous agents to streamline workflows, similar to creating spreadsheets.

Anthropic Cast

06/11/25

@ Anthropic

The use of Cursor's Agent feature is particularly beneficial for laying out new code bases and addressing specific coding challenges.

Anthropic Cast

04/24/25

@ Anthropic

Using an agent is beneficial when you can't enumerate all possible situations, allowing the model to navigate unknown scenarios using its own intuition.

David Hershey

04/24/25

@ Anthropic

I started this project because I wanted a test bed to experiment with AI agents, as I noticed that agents were the most important aspect for our customers at Anthropic.

Jeff Dean

08/08/17

@ Y Combinator

We aim to reduce the time it takes to train models, allowing engineers to conduct multiple experiments simultaneously and improve workflow efficiency.