Expired80% confidenceFactExact time
Even 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).
6
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Building a Coding Agent from Scratch: Creating a Codex-like AI Programming Tool
bilibili前端AI指南6/24/2026
Related Claims
Unverified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76% similarUnverifiedThe codebase of large projects often far exceeds the capacity of even a 200K token context window76% similarUnverifiedEven 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.74% similarVerifiedA context window of 200K tokens can ingest approximately 150,000 lines of code at once, equivalent to the entire source code of a medium-sized commercial project.72% similarUnverifiedLLMs 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.72% similar
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