Chapter review questions and explanatory answers

Attempt each chapter's review questions before reading its answers. The questions and explanations remain with the relevant worked example, so the evidence context is not lost. Use the course module quizzes for a separate five-item self-check.

• 1. AI at the Embedded Workbench

• 2. How LLMs Work: The Useful Mental Model

• 3. Give AI an Engineering Brief

• 4. Set Up Your AI Workbench

• 5. Git Without the Mystery

• 6. Put Your Project on GitHub

• 7. Experiment, Review, and Recover

• 8. Markdown as an Engineering Notebook

• 9. Build a Useful Project Knowledge Base

• 10. Write AGENTS.md for an Embedded Project

• 11. Turn a Repeated Procedure into a Skill

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• 16. Build Your Reusable Engineering Toolkit

• 17. Capstone: Ship a Documented Sensor Monitor

• 18. Maintain the Workflow and Choose What Comes Next