Expired50% confidenceFactExact time
Traditional large language models are limited by context window sizes, typically handling only a few thousand to tens of thousands of tokens, making it impossible to process an entire project at once.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Claude Code Deep Dive: Why Full-Project Context Understanding Crushes Other AI Coding Assistants
bilibili学大模型的小爆6/14/2026
Related Claims
UnverifiedThe context window of large language models is limited, and the length of text that can be processed in a single inference is typically tens of thousands to hundreds of thousands of tokens.79% similarUnverifiedLarge language models' context windows have expanded from a few thousand tokens in early versions to hundreds of thousands or even millions of tokens75% similarUnverifiedCurrent large language models have context window limitations and attention decay issues, meaning that even with support for a 200K token context window, information in the middle of the window is easily overlooked.75% similarUnverified对话式编程的核心瓶颈在于大语言模型的上下文窗口限制，面对数十万行代码的企业级项目无法一次性加载全部代码库70% similarUnverifiedLarge language models do not possess true memory; during each request, the model can only see all the text passed in with that request and is subject to a maximum context length limit.70% similar
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