Kode's technical architecture realizes intelligent scheduling of multiple large language models. It can simultaneously configure models with different specialties such as DeepSeek, Kimi, GLM, Qwen Coder, etc., and automatically selects the optimal model based on task characteristics. The system works in two ways: it directly calls the specified model when the user @ask a specific model; in automatic mode, the built-in scheduling algorithm analyzes the type of task (e.g., architecture design, code writing, algorithm optimization, etc.) to match the most competent model.
This mechanism creates a synergistic effect of 1+1>2. For example, when designing a microservice architecture, we may invoke the O1 model, which is good at abstract thinking, and switch to the Qwen Coder, which is more capable of coding, when realizing specific functions. empirical measurements have shown that combining multiple specialized models improves the quality of task completion by an average of 231 TP3T compared with a single model.
This answer comes from the articleKode: Claude Code Open Source Optimized VersionThe
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