Codequiry

Codequiry stands as a premier technical solution for source code plagiarism detection, utilizing a sophisticated multi-layered analysis engine that goes beyond simple text matching. By 2026, its architecture has evolved to include specific forensic markers for AI-generated code, distinguishing between human logic and LLM-synthesized patterns. The platform operates by performing three distinct types of checks: Peer-to-Peer (comparing submissions within a group), Database (checking against historical repositories), and Web-scale (crawling billions of lines of public code across GitHub, Bitbucket, and GitLab). Technically, it leverages Abstract Syntax Tree (AST) comparison and logic-based fingerprinting, allowing it to detect similarities even when variables are renamed, comments are altered, or code structure is slightly refactored. This makes it an essential tool for both global educational institutions ensuring academic honesty in Computer Science programs and enterprise-level software firms seeking to protect intellectual property or verify the originality of vendor-submitted code. Its 2026 market positioning emphasizes the 'Verified Human Logic' standard, providing granular percentage-based reports and side-by-side visual comparisons that are defensible in both academic hearings and legal IP disputes.