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AI prompting: zero-shot Ruby

This course covers zero-shot prompting for Ruby code: getting a correct, usable answer to the first request instead of going through a correction loop. It works through three levers. Name the exact method signature and return shape, give concrete input-to-output examples, and state edge cases such as nil, empty or boundary input. A worked example compares a vague prompt with a precise one for an Article method. The course closes by explaining why even a well-prompted answer still needs a review checklist.

What you'll learn

  • ✓What zero-shot means and what a correction loop costs
  • ✓Naming the exact method signature and return type in a request
  • ✓Using one input-to-output example per branch to fix a format
  • ✓Stating edge cases like nil, empty strings and time boundaries
  • ✓Comparing a vague prompt with a precise one on the same method
  • ✓Reviewing a good AI response with a four-question checklist
Free preview · Lesson 1 2 min read

What zero-shot means

"Write a method that checks if an article is old" gets an answer. It's rarely the right one on the first try, so a habit forms: read it, say "no, I meant based on published_at, not created_at," read the next attempt, say "no, return a boolean, not a string," and repeat. Zero-shot means something…

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Curriculum

7 lessons
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