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GitHub Copilot Code Detector

Paste a snippet to check whether it looks like GitHub Copilot or another AI assistant wrote it. Free, instant, no sign-up.

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Why Copilot is not like ChatGPT

Most AI code detection advice assumes someone asked a chatbot for a complete answer and pasted it in. Copilot's original and most common mode is different: it suggests the next line or block as grey text inside the editor, and the developer presses Tab to accept it. The suggestion is built from the open file, so it reuses the names, formatting and patterns already there. The result is mixed authorship at the level of individual lines, with the AI deliberately imitating the human around it. That is much harder to separate than a pasted block with its own voice.

Patterns that inline completion leaves

  • Comment, then implementation. A plain-English comment describing what a function should do, immediately followed by a complete body. Developers write the comment as a prompt and accept what comes next.
  • Repetition with small variations. Test cases, switch branches or mapping entries that follow each other with one value changed each time, continuing past the point the task needed.
  • Plausible but slightly off details. A completion that fits the pattern of the file but uses a field name, parameter order or API version that does not quite exist in this project.
  • Uneven polish inside one function. A few lines in the developer's usual rough style next to a block that is noticeably tidier and more complete.

Chat and agent output is closer to ChatGPT

Copilot also has a chat panel, an agent mode in the editor, and a coding agent on GitHub. According to GitHub's documentation, the coding agent can take a task, create a branch, write the commits and open a pull request itself, so the pull request history around that work tells you more than the code does. Chat and agent output arrives in whole functions or files, with the explanatory comments and defensive checks typical of assistant code, and the detector reads it the same way it reads output from any chatbot.

For any Copilot result, paste a whole function rather than a few lines, and read the stated reasons against what you know about the author. A low score on a short snippet means little, since a single accepted line rarely carries enough style to read.

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Frequently asked questions

Can it tell that Copilot, rather than another assistant, wrote the code?

No. Copilot runs on models from several providers and shares its habits with other assistants. The detector estimates whether code looks AI-written, not which product produced it.

Why is Copilot code harder to detect than ChatGPT code?

Inline completions are short and are generated from the code around them, so they copy the developer's own naming and style. A function where a person wrote half the lines and accepted completions for the rest has no clean boundary to find.

Is using Copilot against the rules?

That depends entirely on your course, employer or project. Many teams use it openly. The detector only estimates authorship; whether that matters is a policy question.

Does it work on code from Copilot Chat or agent mode?

Yes, and that is where it works best, because chat and agent output is generated in larger blocks that carry more assistant style than a single accepted line.

Is my code stored?

No. The snippet goes to a third-party AI model provider (Groq, with Google Gemini as a fallback) for the analysis and the result comes straight back to you. We do not save the code or write it to our logs.