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How Code Plagiarism Detection Algorithms Ignore Renamed Variables General 9 min
Marcus Rodriguez Marcus Rodriguez · 4 weeks ago

How Code Plagiarism Detection Algorithms Ignore Renamed Variables

A student renames every variable and converts for loops to while loops. MOSS still flags 94%. This guide builds a minimal winnowing detector in Python 3.11 so you can see exactly why code plagiarism detection algorithms survive refactoring. We then look at where the approach breaks and how AST matching fills the gap.

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Why a 400-Student Intro Course Adopted Layered Code Checks General 11 min
Dr. Sarah Chen Dr. Sarah Chen · 4 weeks ago

Why a 400-Student Intro Course Adopted Layered Code Checks

One CS department's switch from a single similarity tool to a layered detection workflow changed what they could see in student code. Peer copying, web sources, and AI-generated submissions each required different signals, and combining them revealed more than any one check alone.

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Scanning 9,301 Python Files for Stack Overflow Copy-Paste General 10 min
James Okafor James Okafor · 1 month ago

Scanning 9,301 Python Files for Stack Overflow Copy-Paste

A practical, code-level guide to batch-scanning Python files for web-sourced code. We walk through token normalization, fingerprinting, uploading to Codequiry, interpreting web match URLs, and stacking an AI check on flagged files. Built for CS professors auditing assignments and engineering managers verifying contractor code.

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AI Code Detector Comparison Across Codequiry, GPTZero, and Copyleaks General 10 min
Dr. Sarah Chen Dr. Sarah Chen · 1 month ago

AI Code Detector Comparison Across Codequiry, GPTZero, and Copyleaks

A CS professor ran 1,200 Java submissions through three AI code detectors. Codequiry caught 94% of known AI files and flagged only 3.5% of pre-LLM human code, while the other tools posted two to three times that false positive rate. The full numbers and methods are below.

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What 41,000 Code Submissions Reveal About Similarity Score Thresholds General 9 min
Priya Sharma Priya Sharma · 1 month ago

What 41,000 Code Submissions Reveal About Similarity Score Thresholds

Across 41,000 student submissions at a large public university, an 85% token-level similarity score between two students predicted confirmed misconduct 92% of the time in introductory courses. This guide walks through the exact calibration workflow, score distributions by language, and tiered review thresholds that worked for my assessment team.

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Web Code Plagiarism Detection Through Source Fingerprinting General 11 min
Marcus Rodriguez Marcus Rodriguez · 1 month ago

Web Code Plagiarism Detection Through Source Fingerprinting

Peer-based plagiarism checkers miss code copied from GitHub and Stack Overflow. This analysis walks through how web source fingerprinting works, what a 214-submission Java audit found, and where the approach breaks down. Includes a method comparison table and a practical review workflow.

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From Manual Google Searches to Automated Stack Overflow Code Detection General 10 min
Alex Petrov Alex Petrov · 1 month ago

From Manual Google Searches to Automated Stack Overflow Code Detection

Quoted Google searches used to be the standard way to catch a Stack Overflow lift. I tracked the shift across tools, fingerprints, and live web corpora, and why modern checks need to pair source matching with AI detection. The short version: the web changed the question from "who copied whom" to "where did this code come from."

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Automating Code Plagiarism Checks in GitHub Actions General 11 min
Emily Watson Emily Watson · 1 month ago

Automating Code Plagiarism Checks in GitHub Actions

A practical walkthrough for CS instructors and TAs: wire Codequiry's peer similarity and AI detection into a GitHub Actions workflow, get CSV results on every commit, and triage suspicious submissions in under a minute each.

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What 2,312 CS1 Python Submissions Revealed About Code Copied General 10 min
Alex Petrov Alex Petrov · 1 month ago

What 2,312 CS1 Python Submissions Revealed About Code Copied

A direct walkthrough of a Python code plagiarism audit across three bootcamp cohorts. Learn which thresholds actually caught copied code, why starter-code exclusion matters, and how to stack web and AI detection into one honest review pass.

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Perplexity Thresholds for Detecting AI Code General 9 min
Alex Petrov Alex Petrov · 1 month ago

Perplexity Thresholds for Detecting AI Code

A bootcamp instructor explains how token-level perplexity works as an AI code signal, what thresholds we actually use in Java review, and why a single statistical score is never enough on its own.

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Automating Code Plagiarism Detection in GitHub Actions With Codequiry General 6 min
Rachel Foster Rachel Foster · 1 month ago

Automating Code Plagiarism Detection in GitHub Actions With Codequiry

Set up an automated code plagiarism detection pipeline in GitHub Actions using Codequiry's REST API. Follow precise steps to write a workflow YAML and a Python script that submits student code, receives similarity scores, flags suspicious pushes, and optionally detects AI-generated code. Includes threshold tuning, result interpretation, and false positive handling.

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