Debugging is a loop: paste the error, try the fix, paste the next error. A message cap ends that loop before the bug does. Carpathian AI helps with it all.
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Debugging is a loop: paste the error, try the fix, paste the next error. A message cap ends that loop before the bug does. Unlimited AI help means you can keep going for as many rounds as the problem takes. Carpathian AI chat runs its free models with no message quota, no account and no card, and the one limit is a short burst limit on requests per minute that typing doesn't reach. Below is how to get good coding help out of it, and the mistakes to watch for.
Paste three things: the code, the full error, and what you expected instead. Most bad answers come from a model guessing at whichever of the three is missing. A stack trace with the top line cut off, or "it doesn't work" without saying what it did, sends the model after a different bug from yours.
A request that tends to get a useful answer:
The language, the version and the framework: "Python 3.12, FastAPI."
The smallest piece of code that still shows the problem.
The exact error text, the whole thing.
What you've already tried, so it doesn't suggest it again.
A long paste is fine. Past the message box's size, the chat sends the text up as a file rather than refusing it, so a long log or a whole module goes through. Keep secrets out: strip API keys, passwords and connection strings before you paste, the same as you would on a public forum. Free AI Chat: What to Check Before You Paste Work Data covers the rest of that question.
When should you turn thinking on?
Turn it on when the bug involves more than one moving part: a race condition, a wrong result three function calls down, a query that's slow for no obvious reason. On a model that supports it, a picker above the message box switches between Instant and Thinking, with a level of Light, Medium or Deep. Thinking gives the model room to trace the problem before it answers.
Leave it on Instant for syntax questions, a regular expression, or "what does this flag do." Thinking is slower, and for a one-line answer the wait buys nothing.
How do you read code you didn't write?
Paste a file and ask for a walk-through at the level you need: "Explain what this function does, line by line, for someone who knows JavaScript but not this library." Then ask about the parts that still don't make sense, one at a time. Because the chat doesn't count messages, you can go through an unfamiliar codebase a file at a time without rationing questions.
Ask it to name what each piece depends on, too: "Which of these functions touch the database, and which only transform data?" That gives you a map before you change anything.
How do you get a small script written?
Describe the input, the output and one example of each. "Read a CSV with columns date and amount, sum the amount per month, print one line per month. Here are five sample rows." An example pins down the edge cases a description leaves open, like what a date looks like and whether a blank amount is zero.
Run what it gives you on the sample before anything that matters, then ask for the changes. If you want the script as a file, say "save it as a file," and a model that can use tools writes a document you can download instead of pasting it into the reply.
Which model should you use for code?
Start on a free model, since for a single bug or a short script it's usually enough. The model menu in the chat says what each model is for, and AI Chat Models has a page on each, including how much text it can hold in view at once. That matters when you paste a large file. Move to a larger model when the problem spans several files or the free model keeps proposing fixes that don't compile. The larger models come with an AI plan, and the free ones stay unlimited either way.
What will it get wrong?
It writes code that looks right and doesn't run. It invents function names and library options that don't exist, especially for newer or less common libraries. It fixes the symptom you described rather than the cause. And it's confident about all of it.
Treat every answer as a suggestion to test, not a fix to paste. Run it, read the diff, and when it names an option or a function you haven't seen, check the library's own documentation before you build on it.
Free AI for Coding And Software Development | Carpathian
