Claude Code favors online verification over memory

A developer highlights an interesting behavioral nuance in Claude Code, where the CLI agent explicitly avoids relying purely on pretraining memory and instead opts to verify information via online retrieval. Because standard LLM generation predicts tokens from learned training weights, treating internal knowledge as fallible memory and actively fetching real-time data ensures higher accuracy and reduces hallucinations during complex software development tasks.