"Cursor has launched version 2.0 of its AI-driven code editor, featuring Composer, a new model that enables developers to write and modify code through natural language interaction. The update redefines how Composer manages prompts, context, and code generation, focusing on speed and consistency across large projects. Composer is Cursor's in-house AI model built specifically for low-latency, agentic coding. It was trained using reinforcement learning techniques and a set of custom tools, including codebase-wide semantic search"
"The model operates in short interaction cycles, completing most turns in under 30 seconds. This allows developers to iterate rapidly, test code, and correct errors without leaving the editor. Composer is also tightly integrated with Cursor's multi-agent architecture, enabling it to coordinate with other agents that handle tasks like code review, testing, and documentation. Over time, the model builds contextual awareness of the project, remembering past edits and design patterns to provide more consistent suggestions."
Composer is an in-house, low-latency AI model designed for agentic coding and natural-language edits across large codebases. It was trained with reinforcement learning and custom tooling, including codebase-wide semantic search and structured feedback loops, to improve understanding of complex repositories. Composer completes most interaction turns in under 30 seconds, enabling rapid iteration, testing, and error correction inside the editor. The model integrates with a multi-agent architecture so specialized agents can handle writing, testing, review, and documentation in parallel. The system uses isolated git worktrees or remote environments to manage concurrent processes and compare results. Composer accumulates project context and remembers past edits and design patterns to deliver more consistent suggestions.
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