Cursor launches Composer 1.5 with upgrades for complex tasks

What's new? Composer 1.5 uses 20x more RL steps and a thinking tokens system for code reasoning; it applies self summarization to manage long context lengths;

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Cursor

Composer 1.5, the latest agentic coding model from the team at Cursor, introduces several updates that set it apart from its predecessor, Composer 1. The model targets software developers, coding professionals, and organizations seeking automated code generation and reasoning tools. Composer 1.5 is now available for public use, with information about its pricing accessible on Cursor's official documentation.

This release features a substantial increase in reinforcement learning scale, being trained with 20 times more RL steps than before. Technical upgrades include:

  1. Improved handling of complex coding tasks.
  2. A new system for generating 'thinking tokens' that enable the model to plan and reason through problems.
  3. An advanced self-summarization capability, allowing Composer 1.5 to manage longer context lengths by recursively summarizing its own process to maintain accuracy even when memory becomes constrained.

Compared to previous versions, Composer 1.5 demonstrates sharper performance, especially on difficult or multi-step coding challenges.

Cursor, the company behind Composer, has focused on applying reinforcement learning at scale to coding models, aiming for continuous and predictable gains in problem-solving ability. The company positions Composer 1.5 as a daily-use tool, balancing quick response times for simple tasks while deploying deeper reasoning for more challenging code issues. Early user feedback within developer forums has noted improvements in both speed and the ability to tackle more intricate programming scenarios.

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