Take-Home Coding Tests That Actually Measure Skill
Unsupervised take-homes are nearly meaningless now that ChatGPT and Copilot exist. ClarityHire adds AI-proof integrity detection so take-homes produce real signal again.
Code coherence detection
Candidates on their schedule
MCQ + coding test cases
Languages supported
Take-homes, without the cheating problem
Async-friendly scheduling, real coding environment, and integrity detection that catches AI-generated answers.
Timezone-friendly deadlines
Candidates work on their schedule within a window you set. Automated reminders keep things moving.
Full Monaco editor, 30+ languages
Same editor that powers VS Code, with syntax highlighting, IntelliSense, and integrated execution.
Live code execution
Candidates run code against test cases inside the assessment — no local setup, no dependency hell.
Code coherence AI
Claude-powered analysis of edit patterns catches ChatGPT/Copilot-generated code with explainable flags.
Keystroke biometrics
XGBoost-based typing-rhythm analysis detects if someone else takes the keyboard mid-session.
Paste detection
Every paste event is logged with code-size correlation — suspicious bulk pastes get flagged.
AI-assisted grading
Automated test-case pass/fail plus Claude-powered review of code quality, style, and approach.
Automated reminders
Resend-powered email sequence nudges candidates without you lifting a finger.
Why teams pick ClarityHire for this
Real workflow, built-in integrity, end-to-end pipeline — in one platform.
Take-homes without the trust problem
The take-home format has always been great for async teams and senior candidates — until ChatGPT broke it. ClarityHire's code coherence AI brings take-homes back as a reliable signal.
- Edit pattern analysis (type → test → refactor)
- Paste event correlation with code size
- Per-signal authenticity score per submission
Every signal, every session
Keystroke biometrics, face continuity, gaze analysis, and code coherence AI run silently throughout every assessment. Every signal feeds a per-candidate authenticity score you can review or automate on.
- Ten signal types including keystroke, gaze, face, paste events
- Per-signal authenticity score per submission
- Human-readable explanations on every flag
One platform, not five tools
Job boards, assessments, live video interviews, candidate tracking, structured feedback, and PDF reports — all in ClarityHire. Stop paying for five vendors.
- Replaces ATS + assessment + interview + proctoring
- Kanban pipelines with stage automations
- PDF hiring reports for stakeholders
How it works
Build the test
Start from a template or library question. Set time window, integrity level, and deadlines.
Send invites
Email candidates or bulk CSV — each gets a unique, revocable token-protected link.
They code on their schedule
Candidates work async in Monaco. Integrity signals run silently in the background.
Review graded results
AI scores arrive automatically. Flagged submissions come with evidence and explanations.
Frequently asked questions
How do you catch ChatGPT-generated take-home answers?+
Code coherence AI analyzes the edit pattern of every session. LLM-generated code arrives as large clean pastes with no iterative debugging — those patterns get flagged with evidence. Paste events, keystroke rhythm, and final code structure all feed the signal.
Can candidates still use Google or Stack Overflow?+
Yes — that's fine. Real engineers use references. The integrity signal is about whether the candidate wrote the code, not whether they looked something up.
Does this feel invasive to candidates?+
No. ClarityHire runs no browser lockdown extensions — everything works in a normal tab. Candidates see a session recorder indicator; they can pause if they need a break. Most don't notice integrity is running.
How long should a take-home assessment be?+
2–4 hours is the sweet spot — long enough for real signal, short enough to respect candidate time. ClarityHire's time-per-question analytics help you calibrate.
What languages are supported?+
30+, including JavaScript, TypeScript, Python, Java, Go, Rust, C/C++, C#, Ruby, PHP, Kotlin, Swift, Scala, SQL — anything Monaco Editor supports.
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