Are you allowed to use AI in coding interviews in 2026?

It depends on the round. Take-home assignments increasingly allow and expect AI use. Some companies (Google pilot, Canva, Meta) now run dedicated work-with-the-AI rounds where Copilot, Cursor, or Claude are required. But live shared-editor rounds often run in "AI-off" mode, and using a hidden AI feeder there counts as cheating.

Which AI tools are allowed in interviews?

When AI is permitted, companies typically allow mainstream assistants like GitHub Copilot, Cursor, and Claude, and ask you to share your screen so they can see your real-time interactions. Always confirm with your recruiter which tools and rounds allow AI.

Will companies know if I secretly use AI in an interview?

Increasingly yes. Anti-cheat tools used in 2026 track eye gaze, window switching, and keystrokes, and a 2026 study found 38.5% of candidates flagged. Even when undetected, scripted AI answers read as obvious monotone and damage your evaluation.

Can You Use AI in Coding Interviews in 2026? The Real Rules

Google, Canva, and Meta now allow or expect AI tools in technical interviews — but the rules differ by round. Here is exactly when you can use Copilot or Cursor, when you cannot, and how to win the work-with-the-AI round.

Yes — sometimes you're now expected to use AI in coding interviews, and sometimes it's still banned. The rules changed fast in 2025–2026, and they differ by round. Using Copilot in the wrong one is cheating; refusing to use it in the right one makes you look slow. Here's the real breakdown.

The short answer, by round

Round type	AI allowed?	What's tested
Live shared-editor coding (Zoom/CoderPad)	Usually no (AI-off mode)	Raw problem-solving
Take-home assignment	Increasingly yes / expected	Your choices and judgment
Dedicated "work-with-the-AI" round	Yes — required	How you collaborate with AI
AI voice / phone screen	N/A (the AI is interviewing you)	Communication, fit

The single biggest mistake is assuming the rule is uniform. Confirm with your recruiter which rounds allow AI before you start.

Who's actually allowing it?

This isn't theoretical:

Google piloted an AI-assisted coding interview that lets candidates use an approved assistant during the coding round.
Canva announced in 2025 that it expects candidates for backend, frontend, and ML engineering roles to use tools like Copilot, Cursor, or Claude in technical interviews.
Meta has been extending an AI-assisted format toward more engineering roles through 2026.
Stripe, Shopify, and a wave of startups now say outright on take-homes: "use whatever tools you'd use on the job, including AI — we'll ask you about your choices."

The throughline: leading companies decided that hiring someone who can't use AI well is the bigger risk.

Where AI is still off

Live, shared-editor rounds are the holdout. CoderPad, HackerRank, and CodeSignal all added "AI-off" modes that disable Copilot-style autocomplete, and most companies switch them on for the live round. In those rounds, running a hidden AI feeder isn't an edge — it's the thing a 2026 cheating study found gets 38.5% of candidates flagged, via eye-gaze and window-switch detection.

How to win the work-with-the-AI round

When AI is allowed, the round isn't testing whether you can prompt — it's testing your judgment. The metric shifted from lines of correct code to choices made, tests written, and reasoning shown. Strong candidates:

Narrate out loud. "I'll ask the model for a first pass, then check the edge cases myself." Make your thinking visible.
Verify, don't trust. Catching the model's mistake is the highest-value signal in the room.
Write the tests. Show you'd ship this safely, not just that it runs.
Own the architecture. Use AI for the tedious parts; own the design decisions yourself.
Know when not to use it. Reaching for the model on a trivial step looks worse than just doing it.

The engineer who says "I accepted this, rejected that, and here's why" wins over the one who silently pastes whatever the model returns.

The take-home has changed too

Because models beat classic take-homes, companies redesigned them. Anthropic found that by May 2025, most candidates would have done better delegating their take-home entirely to Claude Code, so they moved to novel, AI-resistant work. The new expectation, per AI engineers who design these tests: deliver an evaluation harness alongside the model — extraction, results, and eval tables — to prove you "think like an engineer," not just a prompter.

The ethical line

Smart prep and cheating are not the same thing:

Smart prep: using AI to learn concepts, generate practice problems, and run mock interviews; using allowed tools openly in the rounds that permit them.
Cheating: real-time answer feeders, second-screen reading, and hidden assistants in AI-off rounds.

The second one fails twice — it's detected ~38.5% of the time and it reads as obvious monotone to hiring managers even when undetected. The reputational cost lands later, in rescinded offers.

The reliable edge is being genuinely good at the new format — which you get by drilling it, not faking it. That's exactly what we built landed. to do.

landed. runs realistic mock interviews for the AI-native format — including work-with-the-AI rounds — and gives you the feedback to actually get better. Run a mock interview →

Sources: Northeastern Careers (Google AI-assisted coding interview); Exponent; techinterview.org (2026 AI coding interview rules); Anthropic Engineering; Towards AI; Fabric 2026 cheating study.