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  • Frequent incorrect code and basic errors, leading to extra time spent debugging.
  • Difficulty understanding poorly documented systems.
  • Limited knowledge of the latest libraries, often resulting in outdated or deprecated code

suggestions.

  • Lack of familiarity with individual coding styles, necessitating edits to their outputs and reintroducing updated

Cursor seems to offer a potential solution for the issue of coding style, while the other challenges stem from the inherent nature of how language models are developed and trained, focusing on estimating responses based on their existing

training data.