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Introduction to chapter 2

Welcome to the heart of the reactor: prompt engineering.

If chapter 1 was the theory, chapter 2 is pure practice. For the MagicFridge QA team, knowing how to "speak" to AI has become a skill almost as critical as knowing how to code or write Gherkin.

A bad question yields a bad answer. In this chapter, we will learn how to structure our requests to obtain reliable, precise, and actionable test results.

🗺️ Chapter roadmap

This chapter is extensive. We will break it down into three major blocks:

  1. The art of prompting (section 2.1): how to structure a perfect prompt and use advanced techniques (few-shot, chaining).
  2. Application to testing (section 2.2): using AI for analysis, design, automation, and monitoring.
  3. Continuous improvement (section 2.3): how to measure the quality of AI responses and refine prompts.

Get your keyboard ready, we are going to transform natural language into a formidable testing tool.🤩


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