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How a CS Professor Spots Refactored Code Plagiarism in Java Labs General 11 min
Dr. Sarah Chen Dr. Sarah Chen · 1 month ago

How a CS Professor Spots Refactored Code Plagiarism in Java Labs

This is the workflow Dr. Sarah Chen uses every week to catch plagiarism that survives renaming, reordering, and refactoring. It layers token normalization, AST comparison, and a smart review queue, then walks through what to look for in a diff before talking to a student.

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."

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.

How Token-Based Fingerprinting Drives Contractor Code Verification General 8 min
Alex Petrov Alex Petrov · 1 month ago

How Token-Based Fingerprinting Drives Contractor Code Verification

A logistics company needed to know whether a contractor's 14,000-line Python service was original before paying the final invoice. Token-based fingerprinting showed exactly how much had been lifted from an open source repo and rewritten just enough to hide. What the team learned about normalization, thresholds, and the limits of similarity scoring applies to any company that accepts outside code.

What 238 License Violation Tickets Taught Me About Open Source Compliance General 10 min
Alex Petrov Alex Petrov · 1 month ago

What 238 License Violation Tickets Taught Me About Open Source Compliance

As a bootcamp instructor and open-source maintainer, I've closed hundreds of license-related pull requests. Most were copy-paste fixes where someone dropped a Stack Overflow function into a GPL project. This walks through what actually triggers license tickets, which scanners catch what, and where source similarity tools save you from silent compliance failures.

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.

AI Code Detector False Positives on Boilerplate General 8 min
Rachel Foster Rachel Foster · 1 month ago

AI Code Detector False Positives on Boilerplate

AI code detectors are producing false positives on the most ordinary submissions in CS1: code that looks the same because the assignment required it. This reported piece examines the data, the workflow changes instructors are making, and why combining AI detection with structural similarity reduces the error rate.

A TA's Method for Refactoring-Resistant Plagiarism Checks General 9 min
James Okafor James Okafor · 1 month ago

A TA's Method for Refactoring-Resistant Plagiarism Checks

Line diffs collapse when students rename variables, reorder functions, and extract methods. Here's how token fingerprints and AST normalization catch refactored copies, and how to triage hundreds of similarity reports without drowning in false positives.

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.

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.

Similarity Score Distributions Across Four Intro CS Languages General 12 min
Priya Sharma Priya Sharma · 1 month ago

Similarity Score Distributions Across Four Intro CS Languages

A three-semester analysis of 4,100 CS1 submissions shows why a 70% similarity score means different things in Python, Java, C++, and JavaScript. I break down percentile thresholds, boilerplate effects, false positives, and how to pair similarity checks with AI detection.