Unverified50% confidenceFactExact time
LLMs face a context window capacity bottleneck when processing large codebases; curl's codebase of over 150,000 lines cannot be fully input at once, and analysis must be performed in chunks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/4/2026
First Seen
Valid until: 12/3/2026
Sources
Related Entities
Related Claims
UnverifiedEven when the context window of most current LLMs is extended to 100K tokens, it is difficult to fit the full codebase of a medium-sized microservice system in a single pass.73% similarUnverifiedThe codebase of large projects often far exceeds the capacity of even a 200K token context window73% similarUnverifiedEven models that support a 200K token context window are unable to load all files at once when faced with large codebases (hundreds of thousands of lines of code).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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