Sign in required before running this tool.

AI Code Detector

Code classification is closed while language-specific calibration and false-positive evidence are missing.

BetaEstimated 0 CreditsTemporarily unavailable

Temporarily unavailable

This tool is temporarily unavailable. Please check back soon.

You won't be charged any Credits.

What is AI Code Detector?

AI Code Detector remains a closed evaluation surface. Programming language, formatter, framework, and copied boilerplate can shift classifier signals, so modcov will not expose a score before those effects are measured with reviewed data.

Abstract code classification gate with a closed indicator.

Shared coding patterns can look deceptively uniform.

A reliable review needs language-aware evidence instead of stylistic guesses about authorship.

How to use AI Code Detector

  1. 1

    Wait for validation

    The gate opens only after synthetic and reviewed code benchmarks pass.

  2. 2

    Review the language boundary

    Each language and framework needs its own false-positive evidence.

  3. 3

    Keep human review primary

    Future signals may prioritize review but cannot decide authorship.

Examples

Calibration boundary

A synthetic TypeScript sample reserved for a future benchmark.

Unavailable until language and repository-style effects are measured.

Use cases

Future repository triage

A possible aid for manual review, never proof of who wrote code.

Benchmark framework scaffolds

Measure how generated project templates affect classifier errors.

Study formatter effects

Compare identical logic after automated formatting and lint fixes.

Why use AI Code Detector?

Unavailable until calibrated

Requests stop before any classifier or Credit activity.

Language-specific evidence

A generic writing heuristic cannot qualify as code calibration.

No authorship decision

The proposed boundary excludes identity and misconduct conclusions.

Limits

Current state
No executable classifier
Required evidence
Language and false-positive calibration

FAQ

Why is code detection unavailable?

Formatting, frameworks, generated scaffolds, and shared conventions can mislead classifiers; reviewed calibration is not yet available.

Would one programming language be enough for launch?

No. A useful release needs separate evidence across languages, formatters, frameworks, and copied scaffolds.

Could a result establish who wrote the code?

No. Style signals cannot establish identity or authorship.

Does this gate reserve Credits?

No. Requests stop before classification or billing begins.

Related tools

Start using AI Code Detector now

Code classification is closed while language-specific calibration and false-positive evidence are missing.