Code Intelligence Hub

General 11 min

James Okafor · 1 week ago

How Similarity Detection Learned to See Through Refactoring

Renaming variables and restructuring control flow used to be the cheat code for copying a classmate's submission. It hasn't been for years, and the techniques that closed that door are worth understanding before LLM rewrites move the goalposts again. A practical look at what each family of code similarity detection actually compares, and where all of them still fail.

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General 12 min

David Kim · 2 weeks ago

Can a CI Gate Detect AI-Generated Code in a Pull Request?

A DevSecOps lead's field notes on putting AI-generated code detection inside a real CI pipeline: what the detector actually measures, which files produce false positives on day one, and why the gate should warn on pull requests but only block on release. Includes the config we run and the numbers we got.

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General 9 min

Emily Watson · 2 weeks ago

Telling AI-Generated Code Apart From Peer Copying

When a whole class prompts the same model, peer similarity scores climb even though nobody copied anybody. Here is how to read an AI detection score, a clustering pattern, and a genuine copy pair as three different things, and how I triage 200 submissions in under two hours without accusing the wrong students.

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General 17 min

Dr. Sarah Chen · 2 weeks ago

How Cross-Language Code Plagiarism Detection Works

A student submits Python. Their partner submits Java. A line diff reports 0% identical text, and the plagiarism checker stays quiet. Cross-language copying is a semantic clone problem, and it needs a different kind of comparison than the token matching most tools provide. Here is how the detection actually works, where it fails, and what to put in your syllabus before next term.

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General 15 min

Dr. Sarah Chen · 2 weeks ago

When Does Copied Code Become an Open Source License Violation?

Dependency scanners read manifests. They cannot see the 300 lines someone pasted into a file with the header deleted. This piece walks through what actually constitutes an open source license violation, why SBOM tooling goes blind at exactly the wrong moment, and how provenance checks catch copied code before counsel does.

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General 12 min

Dr. Sarah Chen · 2 weeks ago

Where Should You Set the Code Plagiarism Score Threshold?

A mid-size CS department got 41 similarity flags from a single assignment and no written policy for what any of them meant. This is the calibration exercise they ran, the AI cluster that confused everyone, and the starter-file mistake that produced 61 false 100% matches.

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General 9 min

Alex Petrov · 2 weeks ago

Running a Mid-Cohort AI and Plagiarism Sweep on 300 Submissions

A week-by-week account of the three-signal sweep one bootcamp runs at week 7 of every cohort: peer similarity, web matching, and AI detection in one batch. Includes the ignore-list mistake that cost us two evenings, what LLM-shaped student code actually looks like, and how to turn a flag into a conversation instead of a verdict.

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General 10 min

Alex Petrov · 2 weeks ago

How One Bootcamp Screens 400 Take-Homes for AI Code

387 files, three scores, one hiring round. Here's what a 12-week bootcamp learned after moving take-home review from three exhausted instructors to an automated pass that checks peer similarity, public web sources, and AI generation, including the false positives we cleared and the two assignment changes that mattered more than any detector.

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General 9 min

Rachel Foster · 3 weeks ago

Token, AST, and Fingerprint Matching on Refactored Student Code

Renaming a variable, extracting a helper, and swapping a for loop for a while loop are the three moves students reach for when they want a copied submission to look original. Some similarity engines shrug them off, and some lose the match entirely. This piece walks through how token hashing, AST subtree matching, and fingerprinting each behave against a deliberately refactored Python pair, then compares what MOSS, JPlag, Dolos, and Codequiry actually reported on the same cohort.

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General 12 min

David Kim · 3 weeks ago

A Triage Framework for AI Code Detection in Student Work

An AI detection score is a signal, not a verdict. This is the four-stage triage I borrowed from a fintech incident pipeline to decide which alerts deserve a conversation, which deserve a case file, and which deserve to be closed.

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General 11 min

Rachel Foster · 3 weeks ago

How a Lecturer Catches Code Translated Between Languages

MOSS and JPlag compare Java to Java and Python to Python, which means a translated submission can score in single digits while the logic stays identical. This is how one lecturer, a TA, and a department chair handle ports, and what they've learned about the tooling that catches them.

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General 15 min

Alex Petrov · 3 weeks ago

Can a Python Submission Be Traced Back to a Java Repository?

Two Python submissions scored 4% against each other and in the 70s against a Java gist from 2017. Cross-language plagiarism is the fastest-growing blind spot in academic integrity because translation destroys the text while preserving everything that matters. Here's what survives a translation, what detectors actually see, and where the false positives come from.

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