Can You Use AI in a Coding Interview? The 2026 Rules, by Interview Type
Short answer: it depends on the interview, and guessing wrong costs you the offer. Here is how to tell which of the three AI policies you are sitting in, and what to do in each.
Short answer: it depends entirely on which of three interview types you are sitting in, and the cost of guessing wrong is the offer. Some employers ban AI and detect it. Some tolerate it but do not score it. A growing number hand you the AI deliberately and score how well you use it. Your first job in any interview is to find out which one you are in.
This guide is written for candidates. It covers how to identify the policy before you start, what to do in each case, and what happens if you break the rule you did not know about.
The three AI policies, and how to tell them apart
| Policy | What it looks like | What they measure | What you should do |
|---|---|---|---|
| Banned | Locked browser, webcam proctoring, "do not use external tools" in the instructions, screen recording | Recall and unaided implementation speed | Do not use AI. Not in another window, not on your phone |
| Tolerated but unscored | Take-home with no monitoring, "use whatever you would use at work" | The final artifact only | Use AI freely, but be ready to defend every line in the follow-up call |
| Scored | You are given AI in the environment, and told the transcript is part of the evaluation | How you direct, verify and correct the model | Use AI out loud, deliberately, and check its output in front of them |
The tell is almost always in the instructions email. If it is not, ask. "Am I allowed to use AI assistance during this exercise, and is that part of what you are evaluating?" is a completely normal question in 2026 and no reasonable employer penalises it. Asking removes the single biggest source of accidental disqualification.
Why the ban is losing
The reason the policy is in flux is that the ban stopped describing the job. In Stack Overflow's 2024 Developer Survey, 76% of developers were using or planning to use AI tools in their development process, and 62% were already using them. Banning AI in the assessment means testing a version of the job that no longer exists — the assessment measures memory under artificial constraint, while the job measures judgment with tools.
That gap produces two expensive failures for the employer, which is why more of them are abandoning the ban:
- False negatives. Strong engineers who work fluently with tools get filtered out for forgetting an algorithm they would never write by hand.
- False positives. Candidates who memorised the pattern set pass the test and then cannot ship in an AI-heavy codebase.
What "scored AI use" actually means
In an interview that scores AI collaboration, the model is not a shortcut you are getting away with. It is the instrument being observed. The distinction that separates candidates is not whether they used AI, it is whether they stayed in charge of it.
Two candidates produce identical working code. The transcript tells completely different stories:
Candidate A — pastes the problem statement verbatim, accepts the first response, runs it, moves on. When the code fails an edge case, pastes the error and accepts the next response. No hypothesis, no verification, no ownership.
Candidate B — states the constraint the model does not know ("this runs inside a transaction, so it cannot retry"), asks for a specific approach, reads the output, catches the thing the model got wrong, and says why. Then tests it.
Both shipped. Only one demonstrated engineering. If you are being scored on AI collaboration, your prompts and your corrections are the work product.
Practical rules for each policy
If AI is banned
- Take the ban literally. Proctored platforms ship plagiarism detection and behavioural signals — HackerRank, Codility and CodeSignal all sell proctoring as a feature, and a paste of unusually idiomatic code that you cannot explain is the easiest flag in the world to raise.
- Practise unaided. If you have spent two years pair-programming with a model, your unassisted recall has decayed, and that is normal — it just needs deliberate rehearsal before a banned-AI loop.
- The explanation round is where bans are actually enforced. If you cannot walk through your own solution line by line, the result is the same as being caught.
If AI is tolerated but unscored
- Use it, and then audit the output as if a reviewer will read it, because one will.
- Delete what you do not understand. Unexplained code in a take-home is worse than less code.
- Assume a follow-up call where someone asks "why this approach and not the obvious one". Have the answer.
If AI use is scored
- Narrate your intent before you prompt. "I am going to ask it for the retry wrapper, but I do not trust it to get the backoff right, so I will check that myself."
- Give the model the context it cannot see. Constraints, existing patterns, the failure mode you are worried about. Context-giving is the single most visible skill in a transcript.
- Reject something visibly. Every strong transcript contains at least one moment where the candidate says "no, that is wrong, because…". Its absence reads as passivity.
- Verify, do not trust. Run it. Test the edge case. Say what you expected and whether it happened.
- Do not stop asking your own questions. Independence trend — whether you need less help as you learn the codebase — is a real scored dimension.
Is using AI in an interview cheating?
Using AI is cheating only when the rules said not to. It is not an ethical grey area, it is a compliance question with a clear answer that you can obtain by asking. The genuine integrity failure is different and older: passing off work you cannot explain as your own understanding. That was cheating before AI existed and it still is.
The practical test: could you defend every decision in your submission in a live conversation tomorrow? If yes, you used the tool. If no, the tool used you, and that is what gets caught.
How we do it at InterviewLM
We are on one side of this, and we should say so plainly: our assessments hand candidates AI on purpose and score the collaboration. Prompt quality, critical evaluation of what comes back, code quality, and independence trend are separate scored dimensions, not one number. We publish the full rubric rather than making candidates guess at it.
If you want to see what a scored-AI interview feels like without a job on the line, the open engineering roles on our marketplace run the same format, cost candidates nothing, and produce a shareable evidence card whether or not you get hired.
FAQ
Can I use ChatGPT or Claude during a coding interview?
Only if the employer allows it, and you should ask rather than assume. Proctored assessments on platforms like HackerRank or Codility typically prohibit it and monitor for it. Take-home exercises usually permit it. Assessments that explicitly score AI collaboration require it. One clarifying email removes the risk entirely.
Will they know if I used AI?
Often, yes. Proctored environments record the screen and flag paste events and behavioural anomalies. But the most reliable detector is not technical: it is the follow-up conversation. Code you cannot explain in your own words is the signal every experienced interviewer reads.
Do companies still ban AI in technical interviews in 2026?
Many do, particularly large enterprises with standardised proctored screens. But the direction of travel is clear, because with 62% of developers already using AI daily according to Stack Overflow's 2024 survey, a banned-AI test measures a task that no longer resembles the job.
Does using AI make me look like a weaker engineer?
In a scored-AI interview, the opposite: refusing to use the tool reads as either unfamiliarity or rule-following over judgment. What makes you look weak is uncritical acceptance — taking the first answer, never verifying, never correcting the model.
What if I am not allowed to use AI but I have forgotten how to code without it?
That is a real and common problem, and the fix is rehearsal, not panic. Spend a week solving problems with the assistant closed. The recall comes back quickly because the underlying understanding is still there; only the retrieval habit has decayed.
How should I talk about AI use in the behavioural round?
Concretely. "I used it to scaffold the migration, then caught that it had missed the composite index and added it" beats "I use AI to be more productive" every time. Specific correction stories demonstrate judgment; general enthusiasm demonstrates nothing.
Sources
- AI tool adoption among developers: Stack Overflow 2024 Developer Survey — AI section
- Proctoring and plagiarism detection features: HackerRank, Codility, CodeSignal
Want to sit a scored-AI interview with no job attached? [Browse open marketplace roles](/jobs/interviewlm/backend-engineer) — free for candidates, one 35-minute interview, and you keep the evidence card either way.