Tendril

Tendril · Explorers · AI-Assisted Coding

Use AI to Fix Code That Does Not Work

When your code breaks, AI is amazing at finding the problem. Way faster than just staring at it.

40 min · Reviewed 2026

The big idea

When your code does not work, do not just stare at it. Show it to AI. AI is amazing at spotting bugs — typos, missed brackets, logic errors.

Some examples

'My code does not run. Here is the error message and the code.'
'My code runs but does not do what I expected. What went wrong?'
'I think my loop is wrong. Help me see why.'
'Why does this work for some inputs but not others?'

Try it!

Next time your code breaks, paste it into AI with the error. Notice how fast AI spots the issue.

The best way to describe a bug to AI

Showing broken code to AI is like taking a sick plant to a gardener — the more info you give, the better the diagnosis. Just pasting code and saying 'it doesn't work' rarely gives the best results. The magic formula is three parts: the code itself, the exact error message, and what you expected to happen versus what actually happened. 'My Python says NameError: name x is not defined on line 7, but I already defined x on line 3' gives AI everything it needs to spot that you defined x inside a function and then tried to use it outside (a scope problem). Without that context, AI has to guess. Beyond fixing bugs, AI can also explain why the bug happened and how to avoid the same type of error in the future. This is how good coders learn — not just by fixing the current bug, but by understanding the category of mistake so they can recognize it faster next time.

Always include the exact error message — don't paraphrase it
Paste the smallest chunk of code that reproduces the bug, not your entire project
Tell AI what you expected to happen and what actually happened instead
After the fix, ask 'why did this error happen?' to learn the concept, not just the answer

How AI Helps You Find Sneaky Bugs in Code

The big idea

Bugs are small mistakes in code that make stuff break. They can be sneaky! AI is super helpful for hunting bugs because it can read your code carefully and point to where things look wrong.

Some examples

AI spots a typo like 'pirnt' instead of 'print'.
AI catches a missing bracket or quote mark.
AI notices when you use a variable that doesn't exist yet.
AI explains why the bug is causing trouble.

Try it!

Ask a parent or teacher to write a small piece of code with one mistake. Try to spot it yourself first. Then ask AI to find it. Did you both find the same thing?

Coders Explain Their Code to a Rubber Duck — Now AI

The big idea

Did you know coders keep rubber ducks on their desks? They explain their code to the duck — and finding the bug becomes easy. AI is a duck that talks back. Even better!

Some examples

You: 'My code adds wrong numbers.'
AI: 'Show me the line.'
You read it out — and spot the bug yourself!
Even just typing it out helps.

Try it!

Got a tricky problem (any kind)? Try explaining it to AI step by step.

Here's why "Coders Explain Their Code to a Rubber Duck — Now AI" matters: AI can help you write, fix, and understand code faster than ever — even if you're just learning. Saying your bug out loud helps you find it — AI is the ultimate rubber duck — and knowing how to apply this gives you a concrete advantage.

Learn what "debugging" means and why it's important
Learn what "explaining" means and why it's important
Learn what "stuck" means and why it's important

Ask AI to explain what a 'loop' does in simple words
Try asking AI to fix a bug in a few lines of code
Ask AI to write a simple 'Hello World' program in any language

How AI Spots a Typo in Your Code

The big idea

AI is amazing at spotting tiny typos in code — even ones humans miss for hours.

Some examples

Missing a comma? AI finds it fast.
Wrong word like 'pirnt' instead of 'print'? AI catches it.
Brackets in the wrong place? AI sees it.
AI can save coders hours of typo-hunting.

Try it!

If you ever try coding with a grown-up, ask AI 'find any typos in this code.' Watch it work!

Here's why "How AI Spots a Typo in Your Code" matters: AI can help you write, fix, and understand code faster than ever — even if you're just learning. AI is great at finding tiny code mistakes — and knowing how to apply this gives you a concrete advantage.

Learn what "debugging" means and why it's important
Learn what "typos" means and why it's important
Learn what "AI coding" means and why it's important

Ask AI to explain what a 'loop' does in simple words
Try asking AI to fix a bug in a few lines of code
Ask AI to write a simple 'Hello World' program in any language

Why You Still Need to Understand Code AI Writes

The big idea

Even if AI writes the code, you have to read it to catch mistakes. AI's code can have bugs or do the wrong thing.

Some examples

AI might write code that runs but does the WRONG thing.
AI might use a function that doesn't exist (a hallucination).
Reading the code teaches YOU how it works.
If you don't understand AI's code, you can't fix it later.

Try it!

If AI writes code for you, ask 'Explain this code to me line by line.' Then YOU teach it back to a friend!

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-explorers-ai-coding-AI-fix-my-code

What is the FIRST thing you should do when your code doesn't work?
1. Delete all the code and start over
2. Read the error message carefully — it usually tells you what went wrong
3. Show your code to a friend without reading the error
4. Restart your computer
When asking AI to fix your code, what three things should you always include?
1. Your name, your school, and your grade
2. The broken code, the exact error message, and what you expected to happen
3. The code only — AI doesn't need error messages
4. Just the error message — AI doesn't need the code
Why is AI especially good at fixing bugs?
1. It has seen millions of similar error patterns and recognizes them instantly
2. It writes code without errors itself
3. It guesses randomly until something works
4. It has access to your computer's files
A Python error says 'NameError: name x is not defined on line 7.' Where should you look first?
1. Line 100
2. The last line of the file
3. Lines 5-9 — around where the error occurred
4. The first line of the file
After AI fixes your bug, what should you do before copying the code?
1. Copy it immediately without reading
2. Ask AI to explain why the bug happened so you understand the concept
3. Delete your original code first
4. Post the fixed code online
What is a 'SyntaxError' in code?
1. The code runs but gives a wrong answer
2. The code has a typo or formatting mistake that prevents it from being read
3. The internet connection is broken
4. The computer is out of memory
Why is debugging compared to being a detective?
1. Both involve wearing a hat
2. Both involve following clues (error messages, line numbers) to find the source of a problem
3. Both are done in the dark
4. Both require special equipment
What is the benefit of giving AI the SMALLEST chunk of code that reproduces a bug?
1. Smaller code is free to debug
2. It focuses AI on exactly the problem area without distracting context
3. AI can't read long code
4. It makes AI work faster for all future questions
What does a 'logic error' mean?
1. The code doesn't run at all
2. The code runs but produces a wrong or unexpected result
3. The code is too long
4. The internet is down
You run your code and get 'IndexError: list index out of range.' What does this mean?
1. Your list is too short
2. You tried to access a position in a list that doesn't exist
3. The list has too many items
4. The list is in the wrong order
After AI fixes your code, you run it and get a NEW error. What should you do?
1. Give up — AI can't fix it
2. Paste the new error and code back to AI and repeat the process
3. Delete everything and start over
4. Ignore the new error
What is 'scope' in programming?
1. The size of your code file
2. Where a variable is accessible — inside a function vs. outside it
3. The number of errors in your code
4. How fast your code runs
Why is AI faster than staring at broken code alone?
1. AI reads faster than humans
2. AI has seen millions of error patterns and recognizes them without trial and error
3. AI always knows what the user intended
4. AI can run code on its own computer
What does it mean to use AI as a 'teacher' rather than just a 'fixer'?
1. Asking AI to fix your code automatically without showing you
2. Asking AI to explain WHY the bug happened so you understand the concept
3. Letting AI write all your code from scratch
4. Using AI to grade your code
What is the best prompt to get AI to explain a bug?
1. 'Fix this'
2. 'Help'
3. 'Here is my code [paste], here is the error [paste], I expected [X] but got [Y]. What caused this and how do I fix it?'
4. 'Why doesn't my code work?'

← Back to interactive lesson

Tendril · Explorers · AI-Assisted Coding

Use AI to Fix Code That Does Not Work

When your code breaks, AI is amazing at finding the problem. Way faster than just staring at it.

40 min · Reviewed 2026

The big idea

When your code does not work, do not just stare at it. Show it to AI. AI is amazing at spotting bugs — typos, missed brackets, logic errors.

Some examples

'My code does not run. Here is the error message and the code.'
'My code runs but does not do what I expected. What went wrong?'
'I think my loop is wrong. Help me see why.'
'Why does this work for some inputs but not others?'

Try it!

Next time your code breaks, paste it into AI with the error. Notice how fast AI spots the issue.

The best way to describe a bug to AI

Always include the exact error message — don't paraphrase it
Paste the smallest chunk of code that reproduces the bug, not your entire project
Tell AI what you expected to happen and what actually happened instead
After the fix, ask 'why did this error happen?' to learn the concept, not just the answer

How AI Helps You Find Sneaky Bugs in Code

The big idea

Bugs are small mistakes in code that make stuff break. They can be sneaky! AI is super helpful for hunting bugs because it can read your code carefully and point to where things look wrong.

Some examples

AI spots a typo like 'pirnt' instead of 'print'.
AI catches a missing bracket or quote mark.
AI notices when you use a variable that doesn't exist yet.
AI explains why the bug is causing trouble.

Try it!

Ask a parent or teacher to write a small piece of code with one mistake. Try to spot it yourself first. Then ask AI to find it. Did you both find the same thing?

Coders Explain Their Code to a Rubber Duck — Now AI

The big idea

Did you know coders keep rubber ducks on their desks? They explain their code to the duck — and finding the bug becomes easy. AI is a duck that talks back. Even better!

Some examples

You: 'My code adds wrong numbers.'
AI: 'Show me the line.'
You read it out — and spot the bug yourself!
Even just typing it out helps.

Try it!

Got a tricky problem (any kind)? Try explaining it to AI step by step.

Learn what "debugging" means and why it's important
Learn what "explaining" means and why it's important
Learn what "stuck" means and why it's important

Ask AI to explain what a 'loop' does in simple words
Try asking AI to fix a bug in a few lines of code
Ask AI to write a simple 'Hello World' program in any language

How AI Spots a Typo in Your Code

The big idea

AI is amazing at spotting tiny typos in code — even ones humans miss for hours.

Some examples

Missing a comma? AI finds it fast.
Wrong word like 'pirnt' instead of 'print'? AI catches it.
Brackets in the wrong place? AI sees it.
AI can save coders hours of typo-hunting.

Try it!

If you ever try coding with a grown-up, ask AI 'find any typos in this code.' Watch it work!

Learn what "debugging" means and why it's important
Learn what "typos" means and why it's important
Learn what "AI coding" means and why it's important

Ask AI to explain what a 'loop' does in simple words
Try asking AI to fix a bug in a few lines of code
Ask AI to write a simple 'Hello World' program in any language

Why You Still Need to Understand Code AI Writes

The big idea

Even if AI writes the code, you have to read it to catch mistakes. AI's code can have bugs or do the wrong thing.

Some examples

AI might write code that runs but does the WRONG thing.
AI might use a function that doesn't exist (a hallucination).
Reading the code teaches YOU how it works.
If you don't understand AI's code, you can't fix it later.

Try it!

If AI writes code for you, ask 'Explain this code to me line by line.' Then YOU teach it back to a friend!

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-explorers-ai-coding-AI-fix-my-code

What is the FIRST thing you should do when your code doesn't work?
1. Delete all the code and start over
2. Read the error message carefully — it usually tells you what went wrong
3. Show your code to a friend without reading the error
4. Restart your computer
When asking AI to fix your code, what three things should you always include?
1. Your name, your school, and your grade
2. The broken code, the exact error message, and what you expected to happen
3. The code only — AI doesn't need error messages
4. Just the error message — AI doesn't need the code
Why is AI especially good at fixing bugs?
1. It has seen millions of similar error patterns and recognizes them instantly
2. It writes code without errors itself
3. It guesses randomly until something works
4. It has access to your computer's files
A Python error says 'NameError: name x is not defined on line 7.' Where should you look first?
1. Line 100
2. The last line of the file
3. Lines 5-9 — around where the error occurred
4. The first line of the file
After AI fixes your bug, what should you do before copying the code?
1. Copy it immediately without reading
2. Ask AI to explain why the bug happened so you understand the concept
3. Delete your original code first
4. Post the fixed code online
What is a 'SyntaxError' in code?
1. The code runs but gives a wrong answer
2. The code has a typo or formatting mistake that prevents it from being read
3. The internet connection is broken
4. The computer is out of memory
Why is debugging compared to being a detective?
1. Both involve wearing a hat
2. Both involve following clues (error messages, line numbers) to find the source of a problem
3. Both are done in the dark
4. Both require special equipment
What is the benefit of giving AI the SMALLEST chunk of code that reproduces a bug?
1. Smaller code is free to debug
2. It focuses AI on exactly the problem area without distracting context
3. AI can't read long code
4. It makes AI work faster for all future questions
What does a 'logic error' mean?
1. The code doesn't run at all
2. The code runs but produces a wrong or unexpected result
3. The code is too long
4. The internet is down
You run your code and get 'IndexError: list index out of range.' What does this mean?
1. Your list is too short
2. You tried to access a position in a list that doesn't exist
3. The list has too many items
4. The list is in the wrong order
After AI fixes your code, you run it and get a NEW error. What should you do?
1. Give up — AI can't fix it
2. Paste the new error and code back to AI and repeat the process
3. Delete everything and start over
4. Ignore the new error
What is 'scope' in programming?
1. The size of your code file
2. Where a variable is accessible — inside a function vs. outside it
3. The number of errors in your code
4. How fast your code runs
Why is AI faster than staring at broken code alone?
1. AI reads faster than humans
2. AI has seen millions of error patterns and recognizes them without trial and error
3. AI always knows what the user intended
4. AI can run code on its own computer
What does it mean to use AI as a 'teacher' rather than just a 'fixer'?
1. Asking AI to fix your code automatically without showing you
2. Asking AI to explain WHY the bug happened so you understand the concept
3. Letting AI write all your code from scratch
4. Using AI to grade your code
What is the best prompt to get AI to explain a bug?
1. 'Fix this'
2. 'Help'
3. 'Here is my code [paste], here is the error [paste], I expected [X] but got [Y]. What caused this and how do I fix it?'
4. 'Why doesn't my code work?'

← Back to interactive lesson