The correct option is State the input type list of ticket objects, the filter rule such as priority equals "high", and the expected return value which is the filtered array.

This approach gives Copilot the essential context it needs to generate the intended function. By specifying the structure of the input data, the exact filtering rule, and the desired output shape, you constrain the solution space and help Copilot produce a function that matches your requirements. Clear intent, concrete types, and an explicit success condition consistently lead to higher quality completions.

Keep the prompt short and generic so Copilot can infer intent from the rest of the project is ineffective because vague prompts force Copilot to guess which increases the chance of off target code. You will get more predictable results when you provide precise details.

Depend on Copilot's automatic understanding of your needs from the open file and project and do not change the prompt puts too much weight on ambient context. While Copilot uses surrounding code, refining the prompt is often necessary to correct or steer the result.

Cloud Functions is unrelated to prompting Copilot for code generation in a Node.js utility. It refers to a compute platform concept rather than a prompting strategy, so it does not address how to guide Copilot to produce the correct function.

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