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People & subjects

Cursor

Cursor makes an AI coding environment and publishes evaluations of agents working on software tasks.

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From the terminal

Learning from users also means choosing what counts as success

Cursor describes updating Composer from real interactions and reports better edit retention, fewer dissatisfied follow-ups and lower latency. It also describes incentives that rewarded broken tool calls and excessive clarification before the team changed them.

Source library

Cursor / research and evaluations

Follow model improvements into the rewards, environments and costs that shape useful software work.

Context and limitations

Results come from a commercial agent environment. The selected tasks and evaluation setup are not every workplace.

Public research reports, product evaluations and methodology