Composer 2 Technical Report
On the map: LLM agents and tool use → Software engineering coding agents
Abstract (arXiv)
Composer 2 is a specialized model designed for agentic software engineering. The model demonstrates strong long-term planning and coding intelligence while maintaining the ability to efficiently solve problems for interactive use. The model is trained in two phases: first, continued pretraining to improve the model's knowledge and latent coding ability, followed by large-scale reinforcement learning to improve end-to-end coding performance through stronger reasoning, accurate multi-step execution, and coherence on long-horizon realistic coding problems. We develop infrastructure to support training in the same Cursor harness that is used by the deployed model, with equivalent tools and structure, and use environments that match real problems closely. To measure the ability of the model on increasingly difficult tasks, we introduce a benchmark derived from real software engineering problems in large codebases including our own. Composer 2 is a frontier-level coding model and demonstrates a process for training strong domain-specialized models. On our CursorBench evaluations the model achieves a major improvement in accuracy compared to previous Composer models (61.3). On public benchmarks the model scores 61.7 on Terminal-Bench and 73.7 on SWE-bench Multilingual in our harness, comparable to state-of-the-art systems.
Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 62 of its 83 references that are in the map. First posted on arXiv 25 Mar 2026.
Builds on
62 of 83 references.
Closest ancestors · 5
Same direction, newest first
- 2026GLM-5: from Vibe Coding to Agentic Engineering17 Feb
- 2025SWE-smith: Scaling Data for Software Engineering Agents30 Apr
- 2024OpenHands: An Open Platform for AI Software Developers as Generalist Agents23 Jul
- 2024SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering6 May
- 2023ChatDev: Communicative Agents for Software Development16 Jul
Other references · 57
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50 most cited of 57 All 57 (JSON)
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Citing papers per year: 2026: 20.
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