Learning Outcome
Ask for safer tests, smaller refactors, and actionable review comments.
Core Ideas
- Unit test: Small automated check of one behavior.
- Regression test: Test that prevents an old bug from returning.
- Refactor: Improve structure without changing behavior.
- Review comment: Specific risk or improvement suggestion.
Career Use Case
An engineer can ask AI for missing edge cases and review comments while keeping final judgement with the code owner.
Practical Workflow
- Start by naming the outcome: what should improve after using AI for Tests, Refactors and Code Review?
- Add the input material, constraints, and success criteria before asking for output.
- Ask for assumptions and uncertainty when the answer affects a real decision.
- Verify important claims, numbers, and policy statements before publishing or acting.
Hands-On Mini Task
- Ask AI to propose tests for a function, then mark which tests protect real behavior.
- A good review is specific, reproducible, and tied to user-visible risk.
- Before moving on, explain how Unit test and Regression test change the decision.
Common Mistakes
- Using a generic prompt when the task needs clear context.
- Accepting polished wording as proof of accuracy.
- Sharing private data without redaction or approval.
- Skipping a final human review for important decisions.
Quick Revision
Module 5: AI For Coding lesson 14 is about practical judgement: use AI to increase speed, but keep the goal, context, evidence, and accountability clear.
FAQs
Is AI for Tests, Refactors and Code Review only for technical users?
No. The course treats AI as a practical workplace and learning skill, with technical depth only where it improves judgement.
Should I trust AI output immediately?
No. Use AI to accelerate work, then verify facts, privacy, source fit, and reasoning before relying on the result.
What should I practice after this lesson?
Ask AI to propose tests for a function, then mark which tests protect real behavior.
How does the linked practice quiz help?
The practice quiz checks the lesson concepts immediately with feedback, while the paid mock bundle uses separate assessment questions.