Lesson 282 of 1234
AI Coders Make Mistakes Too: How to Spot Them
Just like AI can give wrong answers, AI can write buggy code. Here is what to watch for.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The big idea
- 2bugs
- 3AI mistakes
- 4code review
Concept cluster
Terms to connect while reading
Section 1
The big idea
AI is great at writing code that LOOKS right. But sometimes the code does not actually work. Or it works but does the wrong thing. You have to test the code to be sure.
Some examples
- AI might use a function that does not exist (made-up).
- AI might write code that runs but gives the wrong answer.
- AI might forget to handle a special case (like what if there are zero items in a list).
- AI might use an old way of writing code that does not work anymore.
Try it!
Next time you (or a grown-up) tries AI-coded help, give it a hard test on purpose. Try giving it nothing, or a huge number, or a weird input. See what breaks.
Key terms in this lesson
End-of-lesson quiz
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