Codejudge is a technical-assessment platform, and its cheating detection comes in two very different layers that employers enable separately: session monitoring (watching you take the test) and code analysis (examining what you submitted). Which ones run on your assessment depends on how the employer configured it.
Layer 1: session monitoring
When enabled, Codejudge can capture:
- Webcam snapshots or video during the coding session.
- Screen recording of the test environment.
- Tab-switch and focus events — leaving the assessment window is logged with timestamps.
- Copy/paste events, including large pastes into the code editor, which is the single most common integrity signal on coding tests.
These features are configuration choices. A Codejudge test with monitoring off records none of it — the platform will not ask for camera permission if it is not active.
Layer 2: code originality analysis
This is the layer that catches more submissions than the camera ever will, and it usually runs regardless:
- Plagiarism matching across submissions — near-identical solutions in the same cohort get flagged together, even if typed independently-looking at different times.
- Internet-source matching — solutions that mirror public repositories, Stack Overflow answers, or tutorial code are detected by structure and naming, not just string equality.
- Generation-pattern signals — code that appears complete in one paste, has comment styles inconsistent with the rest of the submission, or exhibits the naming fingerprints of LLM output reads differently in the timeline than incrementally developed code.
- Editor activity history — the fine-grained record of how the solution evolved: attempts, deletions, refactors. A file assembled in three pastes tells a story.
Reviewers are typically shown the flags plus the code timeline. That means the honest-but-struggling submission — visible edits, failed runs, gradual fixes — is the safe one, even when it's messier.
How to sit a Codejudge assessment cleanly
- Write in the editor, compile and test iteratively. Your process is part of the assessment.
- If you must reference material, know what the rules say; open-book is sometimes explicitly allowed and sometimes not.
- Do not paste a finished solution from anywhere, including your own earlier work in another environment if the rules say fresh.
- Close background apps that steal focus — Slack pings mid-exam generate focus events reviewers can see.
- Test your camera early if monitoring is enabled, so permissions don't eat your timer.
If you're flagged incorrectly — for instance you genuinely write in a style that matches a popular tutorial — ask to explain your approach on a video call. Employers almost always accept a candidate who can walk through their own code line by line, because that's the thing the flags were proxying for anyway.
For hiring teams configuring Codejudge
The camera layer is expensive to review and off-putting at volume; the code-analysis layer does most of the real work — originality and process signals predict job performance better than surveillance coverage. Enable monitoring where the role's risk justifies it, disclose whatever you enable, and treat flags as triage, not verdicts. Turning submission signals into a defensible ranking is a design problem: which checks, which weights, which human review. AI candidate evaluation covers assembling assessment outputs into one scored shortlist instead of disconnected yes/no gates.
Bottom line
Yes — Codejudge detects cheating on two axes: session monitoring (webcam, screen recording, focus and paste events) when the employer enables it, and code originality analysis (cross-submission plagiarism, internet-source matching, editor-timeline forensics) that runs on the work itself. Write incrementally in the editor, keep your room and taskbar clean, and know that a struggling honest timeline beats a polished pasted one.