Paste the error. Get the why, not just the fix.
Stack traces, mystery functions, "why is this undefined" — paste it below and get an explanation you can actually learn from. Free, no account.
Where a chat assistant beats the docs
Documentation explains the API. Stack Overflow explains someone else's problem from 2019. What neither explains is your code, with your variable names, doing the wrong thing right now.
That's the niche this fills. Paste the failing function and the error together, and you get an answer about your actual situation: what the error means, which line triggers it, and — the part worth slowing down for — why the language behaves that way. Ask the follow-up ("what's a closure, actually?") and the debugging session quietly turns into the lesson you were skipping.
It's solid across the mainstream stack — JavaScript/TypeScript, Python, SQL, Java, C#, Go, shell scripts, regex archaeology — and good at the translation jobs: convert between languages, modernize old syntax, explain what a snippet from a tutorial actually does before you paste it into production.
Two habits make it dramatically more useful. Include the error message and the surrounding code, not just one. And when the fix works, ask "why did that fix it?" — that's the rep that makes you faster next time. As with all AI code: run it, test it, and treat confident-sounding output with the usual verification.
Learning to code, not just unblocking it
If you're earlier in the journey — the errors aren't the obstacle, the whole language is — flip over to Learn Mode. Tell it "teach me Python from zero" or "I know JS, teach me TypeScript" and it builds a step-by-step roadmap, teaches one concept at a time, and checks you understood before moving on. Debugging chat for the daily fires, the tutor for the foundation; they share a brain, so you can hop between them.
Related guides
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- How-to
How to Fact-Check AI Answers and Catch Hallucinations
AI chatbots sound just as confident when they are wrong as when they are right. Here is the verification habit I actually use to catch hallucinations before they bite me.
- Use Cases
How to Use AI as a Daily Productivity Assistant: 15 Real Workflows
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Frequently asked questions
Is it free for unlimited coding questions?
Yes — no message cap for normal use, no "pro" tier holding back the good model. Paste as many stack traces as your day produces.
Which languages does it know?
All the mainstream ones well — JavaScript/TypeScript, Python, Java, C#, C/C++, Go, Rust, SQL, PHP, Ruby, Swift, Kotlin, shell — plus frameworks, regex, and config formats. The more niche the stack, the more you should test its output.
Can I paste my company's code into it?
That's your employer's call, not ours — many companies restrict pasting proprietary code into external AI tools. For personal projects, learning, and open source, paste away. When in doubt, reproduce the problem in a minimal snippet instead.
How is this different from GitHub Copilot?
Copilot lives in your editor and autocompletes as you type — great for writing new code, and worth paying for if you code daily. This is a free conversation: better for debugging, explaining, converting, and learning why. Plenty of people use both.
Will the code it writes actually work?
Usually, for well-trodden problems; not always, for anything subtle. Treat it like a fast pair-programmer: its draft, your review, your tests. Never ship code you don't understand — ask it to explain until you do.