Question

A developer needs Copilot Chat to generate a function that parses raw log lines into structured JSON objects following a very specific field-mapping and naming convention used only inside their company. Their first zero-shot attempt ("Write a function to parse log lines into JSON") produced code that guessed at field names and used an inconsistent output shape. What is the most effective prompt-engineering adjustment to get output matching the company convention?

Accepted Answer

Provide two or three concrete examples in the prompt showing a sample input log line and the exact desired JSON output, then ask Copilot to write the parsing function.

Answer

Repeat the same zero-shot prompt several times and accept whichever suggestion happens to match the convention most closely.

Answer

Add the word 'please' and 'production-ready' to the prompt to signal higher quality expectations.

Answer

Increase the length of the prompt by describing the entire history of the logging system in prose without showing any sample data.