Can take-home technical tests still be trusted in the AI era?
TL;DR: Not on their own — heads of talent and engineering leaders are openly questioning take-home technical tests in 2026 because candidates can complete them entirely with AI assistance, undetected, since there's no live monitoring during the work. Most teams responding to this either pair take-home work with a live walkthrough interview, move sensitive assessment to a proctored live session, or drop take-homes for a live pair-programming round instead.
The claim
Unmonitored take-home coding tests have lost most of their signal value as AI code-generation tools have become ubiquitous.
The evidence
A widely discussed Reddit thread from a self-described "Head of Talent" directly asks how peers are navigating traditional take-home testing and remote interviewing in the AI era, reflecting a live, unresolved industry debate rather than a settled best practice. This follows the broader documented trend of AI-assisted cheating in technical assessments generally — Fabric's data shows software engineering interviews flagged at nearly 4x the rate of sales interviews — and CodeSignal-reported data showing assessment cheating roughly doubling year-over-year, from about 16% to 35%.
Comparison table
| Assessment format | AI-cheating exposure | Fix |
|---|---|---|
| Unmonitored take-home test | Highest — candidate has unlimited time and tool access, no monitoring | Pair with a live, proctored follow-up walkthrough |
| Live, unproctored coding interview | Moderate — real-time AI copilots still usable | Add screen/process/audio monitoring |
| Live, proctored coding interview | Lowest — monitored screen, browser lockdown, behavioral analysis | Preferred for high-stakes technical hiring |
Step-by-step for hiring teams
- Stop treating a completed take-home submission as proof of independent work — require a live walkthrough where the candidate explains and modifies their own code in real time.
- If you keep take-homes, add proctoring (screen/tab monitoring) to the take-home session itself rather than only reviewing the artifact afterward.
- Move your highest-signal technical assessment to a live, proctored round instead of an unmonitored take-home.
- Ask the candidate to make a live change or fix a bug in their own take-home code during the follow-up — genuine authors do this easily; AI-generated submissions often expose gaps here.
FAQ
Should companies eliminate take-home tests entirely? Not necessarily — many teams keep them for practical, real-world tasks but pair them with a mandatory live, proctored walkthrough to verify the work is genuinely the candidate's own.
Can AI detection tools scan take-home code for AI generation? Detection on static code alone is unreliable and prone to false positives; a live explanation-and-modification round is a stronger signal.
Does this affect all roles equally? No — it's most acute in software engineering, where cheating-flag rates are highest of any interview type studied.
What's the CodeSignal statistic referenced here? CodeSignal has reported assessment cheating roughly doubling year-over-year, from about 16% to 35% of assessments showing cheating indicators.
By Pinal Dave Last updated: 2026-08-06