The article discusses the evolving landscape of code writing in the context of large learning models (LLMs). It emphasizes the importance of prompt engineering—crafting precise queries to elicit high-quality code from AI like ChatGPT. The author shares insights from two years of experimenting with code generation, particularly in languages like PHP and JavaScript, while highlighting that clear input is critical since AI cannot infer missing context like a human can. This paradigm shift in coding practices requires developers to adapt to new methodologies for effective AI interaction.
The most important rule to remember when interacting with an AI prompt for code generation is that the quality of the input you provide is directly related to the quality of the output.
Even as models advance, there will always be fundamental core concepts for interacting with an AI prompt like ChatGPT or Claude.
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