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Agentic Coding

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Sunday, 26 July 2026

KwaiKAT Team Releases KAT-Coder-V2.5: An Agentic Coding Model Trained on 100,000+ Verifiable Repository Environments

MarkTechPost 2 months ago 13

Kuaishou's KwaiKAT team released KAT-Coder-V2.5, an AI coding model trained on over 100,000 verifiable repository environments where it learns to operate inside real, executable codebases rather than generate isolated code snippets. The model was trained using 100,000+ environments spanning 12 languages built by AutoBuilder, which improved environment construction success from 16.5% to 57.2%, and infrastructure fixes reduced sandbox-induced training failures from 16% to below 2%. KAT-Coder-V2.5 now ranks first on PinchBench (94.9) and second on SWE-Bench Pro (65.2), with an open-weight variant released on Hugging Face under Apache 2.0.

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Open-Weight Models Agentic Coding

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