KAT-Coder-V2.5-Dev: An Open Agentic Coding Model
Overview
KAT-Coder-V2.5-Dev is a Mixture-of-Experts (MoE) coding model built by Kwaipilot for autonomous software engineering tasks within executable repositories. The model contains 35B total parameters with 3B activated per token, operating as a text-only model compatible with Hugging Face Transformers, vLLM, SGLang, and KTransformers. Built on the Qwen3.6-35B-A3B base model, it underwent supervised fine-tuning on 127K examples followed by reinforcement learning training to optimize tool use and eliminate pathological behaviors like excessive parallel tool calls and content repetition. The critical distinction from typical code generators is that this model operates as an agentic tool that can execute commands, read repository files, and iteratively solve tasks within real sandboxed environments rather than generating code in isolation. The open-weight release excludes vision and multimodal components, providing language-model weights only. Apache 2.0 license permits commercial use.
Best use cases
Software repository-level bug fixing and issue resolution.This model excels at autonomous patch generation...
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