Week 23 · Professional practice

Testing, debugging and using AI coding tools responsibly

Professional developers do not just write code — they prove it works, with automated tests. Today many of them also use AI assistants. That makes tests more important, not less: an AI can write code that looks right and is wrong. Today you fix buggy code with tests, call an "AI API" from Python safely, and judge an AI's suggestion the way a professional would.

Software, data and AI90 minutesAdvancedLevel 3 module

In this lesson you will

Tick them off as you read. This is a preview check-list.

Write and run automated tests with pytest and use them to find bugs
Debug systematically using test failures and error messages
Call a text-generation API from Python with the key kept out of the code
Evaluate AI-suggested code with tests instead of trusting it
Follow privacy and honesty rules when using AI tools

Your check-list0 of 5

Ticks here aren't saved until you sign in.

The full lesson is for enrolled students

Enrolled students get the complete notes: essential theory, key terms, a step-by-step practical walkthrough, an independent challenge, check-your-understanding questions and the take-home task.

Testing, debugging and using AI coding tools responsibly

In this lesson you will

Keep track of your learning

The full lesson is for enrolled students

This lesson is waiting for you