AI-assisted code generation can rapidly produce functional code, significantly accelerating the initial development process. However, this speed introduces a new challenge for engineers: addressing the "leftover hard parts"—the nuanced decisions about product behavior and edge cases that AI models often miss. This shift highlights the increasing importance of higher-level engineering skills like problem understanding, trade-off analysis, and ultimately, taking responsibility for the final product, as the focus moves beyond simply writing code.
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