Expired65% confidenceFactExact time
Large language models are limited by the context window size when processing code, and even the most advanced models can only 'see' a limited amount of code at one time.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Claude Code + Codex: The Most Reliable Division of Labor — A Three-Phase Approach of Planning, Execution, and Review
bilibili阿森编程日记6/6/2026
Related Claims
UnverifiedLarge language models naturally tend to generate code that looks complete, including various defensive programming patterns, abstraction layers, and extension points, which are often unnecessary for current requirements.81% similarUnverifiedThe context window is one of the fundamental limitations of current large language models, as a model can only process a limited number of tokens in a single inference.77% similarVerifiedLarge language models' performance in code generation is highly dependent on the scale and quality of pre-training data.72% similarPartially VerifiedBy 2024, large language models could understand complex code logic, perform multi-step reasoning, and handle large-scale codebases, while mainstream coding tools were still limited to single-line autocomplete or simple Q&A72% similarUnverifiedLarge models perform better when processing decompiled pseudocode (such as C-like pseudocode output by Ghidra), because the training corpus contains a large amount of high-level language code, while their ability to understand raw assembly instructions is relatively limited.71% similar
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