Code Intelligence Hub

General 10 min

Priya Sharma · 3 weeks ago

How a Lead TA Triages 400 Similarity Reports Before Grades Post

A lead TA at a mid-sized CS department gets 412 similarity pairs back from a single algorithms assignment and has six days to decide which ones matter. This is the triage method she uses: score stacking, cohort-normalized thresholds, and a written rubric that has survived two grade appeals.

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General 13 min

Alex Petrov · 3 weeks ago

A Checklist for Auditing Take-Home Code for AI Generation

We ran 412 bootcamp take-home submissions through four independent detection signals and followed 63 flagged candidates to a live code interview. This is what we found about which signals actually predict AI-generated code, which ones just predict "this person read a tutorial," and how to build an audit you can defend when a candidate pushes back.

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General 10 min

Marcus Rodriguez · 3 weeks ago

A Contractor Code Provenance Checklist for CTOs

Meridian, a 40-person benefits SaaS, had 340,000 lines of contracted code and no way to answer question 34 on a diligence questionnaire. Here's the five-gate provenance audit that followed, what the tools actually found, and the clause in the MSA that would have made all of it cheap.

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General 10 min

Alex Petrov · 3 weeks ago

Stack Overflow, GitHub, and Course Sites Across 4,000 Submissions

I ran 4,000 bootcamp submissions through web-source matching and 22% matched something public. Most of those matches were harmless. Here's what a real Stack Overflow diff looks like, why GitHub matches almost always come with a receipt, and how I stopped flagging half my class with false positives.

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General 12 min

Alex Petrov · 4 weeks ago

Do AST Plagiarism Detectors Beat Token Matching on Refactored Code?

I seeded 48 known-copy pairs into 1,247 real bootcamp submissions and ran them through MOSS, JPlag, Dolos, and Codequiry. Token-based engines held up against renaming and reformatting, then collapsed once control flow changed. Here's the data, the methodology, and where every engine breaks.

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General 17 min

Rachel Foster · 4 weeks ago

Teaching Open Source License Compliance Across the CS Curriculum

Most CS departments teach students to cite what they copy but never to read the license attached to it. This reported guide walks through the licenses that actually show up in student repositories, the four failure modes that recur in grading, and a provenance rubric that separates academic honesty from legal obligation.

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General 10 min

James Okafor · 1 month ago

Token Fingerprinting vs AST Matching on 900 Refactored Submissions

Take 30 hand-written Java solutions, push them through five levels of mechanical refactoring, and you get a controlled ladder for asking a simple question: how much does each similarity engine actually see? The answers differ by nearly a factor of four, and the differences map cleanly onto how we should be designing assignments.

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General 11 min

James Okafor · 1 month 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 · 1 month 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 · 1 month 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 · 1 month 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 · 1 month 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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