Introducing Composer 1.5

Composer 1.5, the latest version of the agentic coding model, represents a significant advancement in coding ability by enhancing both speed and intelligence for everyday use. Developed by scaling reinforcement learning 20 times further on the same pretrained model, Composer 1.5 surpasses its predecessor in performance, particularly on challenging coding tasks, as evidenced by internal benchmarks. It introduces "thinking tokens" that allow the model to reason through a user’s codebase and plan the next steps, balancing quick responses for simpler problems with more thoughtful consideration for complex ones. Composer 1.5 also features self-summarization capabilities, enabling it to maintain accuracy as context length varies by generating useful summaries when the available context runs out. This recursive self-summarization process contributes to its robustness, making Composer 1.5 a highly recommended tool for interactive coding tasks, showcasing the potential of scaling reinforcement learning for continuous intelligence improvements in coding models.

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