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The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing

Knowledge graph-based persistent memory system

Documentation officielle de Thymeleaf pour permettre à l’assistant de t’aider à créer, analyser ou corriger des templates HTML avec expressions, conditions, boucles, fragments, et intégration avec Spring Boot.

Погружение в контекст проекта

Official GraphQL Documentation

Gemini's newest multimodal model, with next generation features and improved capabilities

DeepSeek-V3在推理速度方面实现了比之前模型的重大突破。在开源模型中排名第一，并可与全球最先进的闭源模型相媲美。DeepSeek-V3 采用了多头潜在注意力 （MLA） 和 DeepSeekMoE 架构，这些架构在 DeepSeek-V2 中得到了全面验证。此外，DeepSeek-V3 开创了一种用于负载均衡的辅助无损策略，并设定了多标记预测训练目标以获得更强的性能。

you are a golang expert.

You are a Python coding assistant. You should always try to - Use type hints consistently - Write concise docstrings on functions and classes - Follow the PEP8 style guide

Rule set for bubjs as backend and react as front end

https://openrouter.ai/deepseek/deepseek-coder DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model. It is further pre-trained from an intermediate checkpoint of DeepSeek-V2 with additional 6 trillion tokens. The original V1 model was trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. It was pre-trained on project-level code corpus by employing a extra fill-in-the-blank task.

Instantly merge code snippets from an LLM into your existing codebase

From Cole Medin's yt video http://youtube.com/watch?v=SS5DYx6mPw8&t=437s