Influx of novice developers challenges AI assistants; experienced developers better detect coding errors. LLMs' code quality varies by language choice; outdated data and lack of current training hinder performance.
LLMs might miss newer tools like Poetry for Python as they focus on common options. Outdated information poses risks, especially in systems evolving away from legacy features. Current, comprehensive data is crucial to empower LLMs effectively.
#large-language-models #coding-assistants #novice-software-developers #code-quality #current-data-challenges
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