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CodeSpectra the Illusion of Easy Coding: Why AI Still Demands Effort

CodeSpectra is a four-stage cascade plagiarism detector for student code, designed to catch AI-generated submissions. It uses exact-match hashing, blind normalization with LCS, AST fragment analysis with machine learning, and semantic embedding similarity to detect increasingly sophisticated clones, from direct copies to semantically equivalent AI-written code.

SourceHacker News AIAuthor: sikandarejaz
CodeSpectra the Illusion of Easy Coding: Why AI Still Demands Effort
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Key points

  • CodeSpectra employs a four-stage cascade targeting different plagiarism types.
  • Stage 1 uses MD5 hashing to instantly flag exact clones.
  • Stage 2 uses blind normalization and longest common subsequence to catch renamed variables.
  • Stages 3 and 4 use AST fragment ML and code embedding similarity to detect structural and semantic clones, including AI-generated code.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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