Localization of AI prompts (Chinese language support) for Claude Code. Token optimization for domestic models.

This issue reveals a critical need for localization in AI development tools, specifically for the Chinese market. The request for full Chinese prompt support addresses both user convenience and potential token efficiency with domestic LLMs. This indicates developers actively seek to integrate these tools with local AI infrastructure, suggesting market demand for region-specific optimizations. The hypothesis about reduced token usage with optimized tokenizers for Chinese models highlights a performance and cost-driven pain point. This also implies that generic, English-centric AI tools may not fully leverage the capabilities or cost efficiencies of localized models, creating an opportunity for specialized, region-aware AI development platforms.