"Context drift is the gradual loss, distortion, or misalignment of information in LLM. Symptoms include Claude ignoring earlier instructions, generic outputs, and increased hallucinations."
"Even with ~200k tokens, performance drops when context is noisy, leading to significant challenges in maintaining the quality of generated responses."
The context window in Claude Code serves as the model's working memory, allowing it to generate responses based on visible information. With a capacity of approximately 200K tokens, performance can decline due to context drift, which results in symptoms such as ignored instructions, generic outputs, and increased hallucinations. Effective management of the context window is essential to maintain clarity and relevance in responses. Real-time tracking of context window usage is recommended, especially when using the command-line interface.
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