Cursor, the coding IDE developer, has announced a major update to its flagship product with the introduction of a new coding model and a multi-agent interface. According to the company, these features are designed to speed up development processes and provide more efficient workflows.
The new coding model, dubbed Composer, is said to be a frontier model that is four times faster than similarly intelligent models. It was built using reinforcement learning and a mixture-of-experts architecture. While Cursor claims that Composer outperforms top-tier open models and speed-oriented frontier models in intelligence, it underperforms compared to the "best frontier" model.
The emphasis on speed appears to be a key focus for Cursor with this update. The company is hoping that Composer will not only perform better but also adhere to best practices and achieve accurate results.
To address potential concerns about accuracy and capability, Cursor has introduced a new multi-agent interface that allows developers to run multiple models in parallel without interference. This feature can be powered by git worktrees or remote machines, enabling the use of multiple models for the same task and comparing their results before selecting the best one.
While some developers have expressed enthusiasm for Composer, others have raised concerns about its perceived capability gap with established frontier models like Anthropic's Claude. However, the interface is being made available to allow users to try Composer and let its capabilities speak for themselves.
The update also includes other new features and fixes in the changelog, which can be found on the Cursor website.
				
			The new coding model, dubbed Composer, is said to be a frontier model that is four times faster than similarly intelligent models. It was built using reinforcement learning and a mixture-of-experts architecture. While Cursor claims that Composer outperforms top-tier open models and speed-oriented frontier models in intelligence, it underperforms compared to the "best frontier" model.
The emphasis on speed appears to be a key focus for Cursor with this update. The company is hoping that Composer will not only perform better but also adhere to best practices and achieve accurate results.
To address potential concerns about accuracy and capability, Cursor has introduced a new multi-agent interface that allows developers to run multiple models in parallel without interference. This feature can be powered by git worktrees or remote machines, enabling the use of multiple models for the same task and comparing their results before selecting the best one.
While some developers have expressed enthusiasm for Composer, others have raised concerns about its perceived capability gap with established frontier models like Anthropic's Claude. However, the interface is being made available to allow users to try Composer and let its capabilities speak for themselves.
The update also includes other new features and fixes in the changelog, which can be found on the Cursor website.