Fixing faulty code – how AI transforms the debugging process

AI can automate and simplify the debugging process – pinpointing bugs, explaining errors, and suggesting fixes.

Imagine you’re working on a Node.js project that involves several modules. One of the modules is designed to handle user authentication. However, while testing, you notice that the application crashes whenever a new user tries to sign up. The error message indicates a type error, but due to the complexity of the code base, you’re having difficulty locating the source of this error.

So, here’s how you can solve this issue with the help of AI prompting.

Prompt:

The following code is generating an error. The error message indicates a type error.
Code:
`database.js`:
const users = [];
function addUser(user) {
      users.push(user);
}
function getUser(username) {
      return users.find(user => user.username...