Unverified50% confidenceFactExact time
LLM在处理大型代码库时面临上下文窗口容量瓶颈，curl超过15万行的代码库无法一次性完整输入，分析必须分块进行
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/4/2026
First Seen
Valid until: 12/3/2026
Sources
Related Entities
Related Claims
Unverified当前大多数LLM的上下文窗口即便扩展到100K token也难以一次性容纳一个中等规模微服务系统的全量代码73% similarUnverifiedThe codebase of large projects often far exceeds the capacity of even a 200K token context window73% similarUnverified即使是支持200K Token上下文窗口的模型，面对大型代码库（数十万行代码）时也无法一次性加载所有文件72% similarUnverifiedLLM的上下文窗口从数千token扩展到数十万token，使模型得以看到整个代码仓库而非单个文件片段72% similarUnverified早期大模型的上下文窗口极为有限，一次只能处理数千个Token的信息，无法容纳完整项目代码量69% similar
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