AI Can Help You Find Bugs in Code

When code does not work, paste it in AI with the error and ask 'what is wrong?' AI is great at spotting bugs.

Some examples

• Paste the code AND the error message together.
• Say 'I expected X but it did Y.'
• AI may spot a missing comma or typo in seconds.
• AI may suggest the exact one-line fix.

Try it!

If you ever code, save the error you see. Paste code + error in AI and ask for the fix.

Why is it called a 'bug' anyway?

The word 'bug' in coding comes from 1947, when a real moth got stuck inside a computer and caused it to malfunction. A computer scientist named Grace Hopper taped it into her logbook and called it a 'bug.' The name stuck! 🦋 Today, a bug just means any mistake in code that makes it do the wrong thing. Bugs can be sneaky. Sometimes code crashes with a big scary error. Sometimes it runs fine but gives the wrong answer. Sometimes it only breaks in weird situations, like when the number is zero or when a name has a special character. All of these are bugs, and finding them is called debugging. AI is one of the best debugging tools ever invented. The trick is giving AI the right information. Always give it: (1) the code itself, (2) the error message if there is one, and (3) what you expected to happen versus what actually happened. With all three, AI can often find the bug in seconds. But here's something even better — use AI to learn from bugs! After AI finds the bug, ask 'why did this cause a problem?' and 'how do I avoid this mistake in the future?' Understanding WHY a bug happened is way more valuable than just getting the fix. Every bug you understand makes you a stronger coder who makes fewer bugs in the future!

• Always give AI: the code + the error + what you expected 🐛
• Bugs crash code, give wrong answers, or hide in edge cases
• After the fix, ask WHY the bug happened
• Understanding bugs helps you avoid them next time
• Debugging is one of the most important coding skills there is