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CoderForge-Preview: SOTA open dataset for training efficient coding agents

Together AI 25 February 2026, 00:00

A research team released CoderForge-Preview, an open dataset containing 258,000 test-verified coding agent trajectories spanning 51,000 tasks across 1,655 repositories. A Qwen 32B model fine-tuned on this data achieved 59.4% pass@1 on SWE-Bench Verified, ranking first among open-data models in the ≤32B parameter range. The dataset enables open-source researchers to train and improve coding agents without relying on proprietary data sources.

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TLDRocket 21 July 2026

The open-weight AI model market hit an inflection point today as Alibaba and Kimi released trillion-parameter competitors that challenge the closed-model orthodoxy—just as Washington moved to restrict them. Alibaba's Qwen 3.8 Max (2.4 trillion parameters) and Kimi K3 (2.8T) are going open-weight, with K3 ranking first on Frontend Web App Arena and fourth on agentic benchmarks, signaling that scale and transparency can coexist. The timing matters: while U.S. policymakers weigh layered restrictions on Chinese open models, technical experts are pushing back hard, arguing that closed gardens actually hurt security and competition more than they help. The real fragmentation risk isn't technical—it's regulatory.

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CoderForge-Preview: SOTA open dataset for training efficient coding agents

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