Keeping code authentic and classrooms honest
Codequiry is a source code plagiarism and AI-detection platform built for one purpose: making sure the code that earns the grade is actually the student's own work.
We started Codequiry because integrity in computer science was quietly eroding. Copying an answer off the web takes seconds, AI can now write an entire assignment in one prompt, and older tools were blind to both. We built a platform that catches all of it — so educators can trust what they grade and students are rewarded for the work they actually do.
Why this exists
Built to stop cheating before it counts
Every submission runs through a 3-layer check — peer-to-peer, web and historical sources, and AI-generated code — with 20+ engines analyzing the structure and logic of the code, not just matching text. Results come back in minutes instead of hours.
Why we built Codequiry
Like many computer science instructors, we watched code plagiarism slip through the cracks. Existing tools were expensive, slow, or simply couldn't keep up with the volume of assignments a modern class produces — and worse, they only compared students against each other. The moment code came from the web, or from an AI model, they saw nothing.
That gap matters. When cheating goes undetected, honest students are penalized, grades stop meaning anything, and instructors lose trust in their own results. We built Codequiry to close that gap — to make authenticity the default and give educators proof they can stand behind.
We started small, working alongside a handful of instructors and teams to learn what they actually needed. Today Codequiry is trusted by universities and engineering teams worldwide, and we keep sharpening it with every check that runs through the platform.
Three layers of detection on every check
Authenticity has more than one enemy, so Codequiry checks for all of them at once. Every submission passes through three independent layers of analysis:
1. Peer & historical detection
Compares each submission against everyone else in the class — and against past semesters — to catch shared, reused, or resubmitted code.
2. Web & source scanning
Scans across the open web, including GitHub, Stack Overflow, tutorials, and forums, to surface copying that student-to-student tools miss entirely.
3. AI-generated code detection
Flags code that looks machine-written — from tools like ChatGPT, GitHub Copilot, Claude, and Gemini — so AI submissions don't slip past as original work.
Behind every check, 20+ engines analyze the structure and logic of the code rather than just matching text — so renamed variables and reshuffled lines don't fool it. Instructors see exactly where matches occur and how strong they are, with the evidence to make a fair, defensible call.
Why Codequiry is the best at this
Plenty of tools claim to catch plagiarism. Codequiry is built to catch what the others can't — and to make the answer clear enough to act on.
Coverage nothing else matches
Peer, web, and AI-generated code detection in one platform. Most tools do one; Codequiry does all three on every submission.
Understands code, not just text
20+ engines analyze logic and structure, so renamed variables, reordered functions, and cosmetic edits don't hide copied work.
Built for real class sizes
Hundreds of submissions processed in minutes, not hours — a modern MOSS alternative that keeps up with how CS courses actually run.
Evidence you can defend
Side-by-side matches and clear similarity scores give instructors the proof they need for a fair, transparent integrity case.
Trusted by universities and engineering teams worldwide, and supporting 65+ programming languages — from Python, Java, and C/C++ to whatever your students are writing in this semester.
Programming languages we support
We work with most common programming languages that are taught in computer science courses:
Need support for a language we don't have yet? Just let us know and we'll see what we can do.
The challenge we're solving
Computer science instructors have always struggled with code plagiarism. With so much code available online and large class sizes, it's nearly impossible to manually check every assignment for copied work.
Traditional tools like MOSS were designed for smaller classes and don't handle modern programming practices well. Many are also difficult to use or have long waiting times.
We wanted to build something that works better for today's computer science education environment.
What instructors tell us
"I can finally focus on teaching instead of spending hours trying to figure out if students copied their code."
Computer Science instructor at a large public university"The web scanning catches things I would never find on my own. It's really opened my eyes to how much copying happens."
Programming course instructor"Setup was straightforward and the results are easy to understand. My TAs can use it without any training."
CS department headWant to try it out?
See how Codequiry fits your workflow
If you're an instructor dealing with code plagiarism in your classes, we'd be happy to show you how our system works.
No setup fees.