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AI Code Detector
About AI Code Detector
AI Code Detector is a static analysis tool designed for reviewers who need to assess whether code submissions contain AI-generated patterns, copied examples, or quality hazards before making grading, hiring, or deployment decisions. The tool accepts pasted code or uploaded files and performs either a Quick Scan or Deep Scan without executing the code. It generates a risk score between 0 and 100, categorizing results as Low, Review Recommended, or High Risk, and provides line-level evidence such as tutorial narration in comments, generic naming, weak exception handling, or fabricated dependencies. The output is structured into authorship, similarity, security, maintainability, and completeness signals, which reviewers can export as Markdown or JSON for further documentation. The console is intended to reduce noise in high-stakes review processes by highlighting specific patterns that warrant human follow-up rather than making automatic judgments. It is used by education teams to trigger student explanations, hiring teams to route suspicious take-home exercises, and engineering teams to catch generated-code risks before production deployment.
Key features
- Authorship risk scoring (0-100)
- Line-level evidence highlighting
- Quick Scan and Deep Scan modes
- Markdown and JSON report exports
- Security and maintainability risk flags
- Source-similarity detection
- Static analysis without runtime execution
- Review queue and submission history
Use cases
- Grading disputes in education settings
- Hiring screen triage for take-home exercises
- Engineering code-quality audits before deployment
Pros
- Static analysis without code execution
- Provides line-level evidence and risk scoring
- Exports reports in Markdown and JSON formats
- Supports both Quick Scan and Deep Scan modes
- Free tier available with limited scans
Cons
- No free tier beyond initial guest or signed-in scans
- Limited to static analysis; does not run code
- No API access mentioned
- Pricing tied to dashboard access only
Frequently asked questions about AI Code Detector
What does AI Code Detector do?
AI Code Detector analyzes code submissions to identify potential AI-generated patterns, copied examples, or quality hazards without executing the code. It provides a risk score and line-level evidence to support human review decisions.
Who should use AI Code Detector?
The tool is designed for education teams, hiring managers, engineering leads, and assessment vendors who need to review code in high-stakes scenarios such as grading disputes, hiring screens, or production deployments.
How does the scanning process work?
Users paste code or upload a file, then choose between a Quick Scan or Deep Scan. The tool generates a risk score and highlights specific lines with evidence, which can be exported as Markdown or JSON for further documentation.
Does AI Code Detector replace human judgment?
No, the tool is designed to reduce noise in review processes by providing structured evidence and risk signals, but it does not make automatic decisions or replace human review.
What types of risks does it detect?
It flags authorship risks like tutorial narration in comments, generic naming, and weak exception handling, as well as quality hazards such as fabricated dependencies, unsafe dynamic execution, and incomplete implementations.
How can I get started with AI Code Detector?
Users can open the free console to perform scans. Guests receive a limited number of free scans, while signed-in reviewers get additional scans. The process involves pasting code, running analysis, and exporting a report for review.