Cursor cloud agents can now run on customer-managed machine pools
Cursor announced that its cloud agents can now execute on dynamically scheduled pools of machines within customers' own networks, giving teams control over infrastructure while agents are still managed from Cursor. The company noted that cloud agents now create over 60% of internally merged pull requests and are taking on a growing share of software work at large enterprises.
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Cursor cloud agents can execute on dynamically scheduled pools of machines inside your network. You manage the underlying infrastructure, while agents are still started and managed from Cursor. This gives teams more control over where agents execute and what infrastructure they use. Agents can work next to internal services and source control, run on custom hardware, or use operating systems and build pipelines that are difficult to package as a Cloud Agent build. Cloud agents now create more than 60% of the pull requests we merge internally and are taking on a growing share of software work at many of the largest enterprises we work with. As their role expands, the machines they run on matter more too. These new capabilities make it practical for teams to provide and manage that infrastructure at scale. > With Lambda MicroVMs as the compute layer for Cursor Cloud Agents, developers can run AI-powered coding agents in their own AWS account. Each machine launches near-instantly from a s
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