AI TOOL PROFILE
Codequiry: Code Plagiarism and AI Detection Software
- Software Development
- Code Analysis
- Computer Science Professors
- Technical Recruiters
- HR Departments
- Engineering Managers
- Academic Institutions
Pricing
Pricing starts at $900 for a one-time Primo plan. Other tiers include Advanced ($2,300) and CQ Advanced ($2,800), with an optional CQ Go add-on available for $40/month.
At a glance
- Best for
- Computer Science Professors, Technical Recruiters, HR Departments, Engineering Managers, Academic Institutions
- Key use cases
- Academic Integrity Monitoring, Technical Candidate Screening, AI Content Verification, Vendor Code Audits, IP Protection
- Integrations
- Canvas, Blackboard, Moodle
- Official website
- Visit codequiry official website
How AI is used
Codequiry is a tool designed to detect plagiarism and AI-generated content within source code. It uses AST-based analysis to identify logical similarities even when variables have been renamed or code has been restructured.
The platform is intended for computer science educators, technical recruiters, and engineering leads who need to verify the integrity of code submissions. It scans against web sources, including GitHub and Stack Overflow, as well as internal peer groups.
It helps users identify whether code was written by a human, generated by AI tools such as ChatGPT and Claude, or copied from another student or public repository. The platform provides evidence through side-by-side comparisons and clustering graphs.
Buyers should confirm which plan they need, as certain engines and unlimited scanning options are available in the Advanced and CQ Advanced tiers.
Key Features
AI-Written Code Detection
Identifies patterns associated with AI assistants such as ChatGPT, GitHub Copilot, and Claude.
AST-Based Analysis
Uses Abstract Syntax Tree tokenization to find structural similarities, regardless of variable renaming or whitespace changes.
Web and Repository Scanning
Checks submissions against web sources, including GitHub, GitLab, and Stack Overflow.
Peer-to-Peer Comparison
Analyzes a group of submissions against each other to detect collaboration or collusion.
Side-by-Side Comparison
Provides a line-by-line diff viewer with syntax highlighting to compare matched code sections.
Base Code Detection
Supports the recognition and exclusion of starter code or templates to help reduce false positives.
REST API
Supports the integration of plagiarism detection into custom workflows or automation pipelines.
Use Cases
Academic Integrity Monitoring
Checking student programming assignments for plagiarism from peers or the web.
Technical Candidate Screening
Verifying the originality of take-home coding challenges during the hiring process.
AI Content Verification
Identifying if a submission was generated by an AI tool rather than written by a human.
Vendor Code Audits
Checking that code delivered by contractors or outsourced teams is original and not copied from public sources.
IP Protection
Scanning codebases for potential license violations or unauthorized use of web snippets.
Integrations
- Canvas
- Blackboard
- Moodle
FAQ
What programming languages does Codequiry support?
- Codequiry supports over 60 programming languages, including Python, Java, C++, JavaScript, Go, and Rust.
Can it detect code written by AI?
- Yes, it is designed to identify patterns from AI tools such as ChatGPT, Claude, and GitHub Copilot.
Does Codequiry integrate with Learning Management Systems?
- Yes, it supports integration with Canvas, Blackboard, and Moodle.
Which plan is right for users needing unlimited scans?
- Users requiring unlimited web, AI, and similarity scans should consider the CQ Advanced plan or the CQ Go add-on.
Source category: Software Development
Source subcategory: Code Analysis
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