Canva AI-Assisted Coding Interview: Format and Prep

Canva's AI-assisted coding interview is a technical round where you are expected to use AI tools, such as Copilot, Cursor or Claude, to solve a realistic, ambiguous product problem. Canva announced it in June 2025 in its engineering blog post "Yes, You Can Use AI in Our Interviews. In fact, we insist". It applies to backend, machine learning and frontend engineering candidates, and replaces the computer science fundamentals screen for backend and frontend roles. Canva does not state the duration in either of its posts, so confirm timing with your recruiter. Information here is current as of October 2026.

At a glance

Question	Short answer
Does Canva let you use AI in interviews?	Yes. Canva says it now expects backend, ML and frontend candidates to use AI tools
Which tools?	Canva names Copilot, Cursor and Claude, and tells you to use your preferred AI-integrated IDE
Which roles?	Backend, machine learning and frontend engineering
What does it replace?	The computer science fundamentals screen for backend and frontend roles
How long is it?	Canva does not say in its posts. Ask your recruiter
What kind of problem?	Realistic, ambiguous product problems that cannot be solved with a single prompt
What is graded?	Problem solving, technical depth and ownership, and how effectively you collaborate with AI
Do I still need fundamentals?	Yes. Canva says it still assesses CS fundamentals and expects full ownership of your code

What Canva has said publicly

Two Canva engineering posts are the primary sources, and I read both.

The announcement (June 11, 2025, by Simon Newton). Canva says almost half of its frontend and backend engineers are daily active users of an AI-assisted coding tool, and that its own tests showed AI tools could solve its traditional CS fundamentals questions quickly. So it moved to an interview that reflects the work. Candidates are told in advance that AI use is expected and are encouraged to practise. Canva describes the rollout as a pilot and reports early results: the interviews feel more engaging and give "strong predictive signals," which it frames as early findings.

The interviewer's guide (October 20, 2025, by Karl Hörnlund). "AI Interview Success: An Interviewer's Inside Guide" gives the clearest picture of what Canva's interviewers want. It is the single most useful thing to read before your interview.

Format and the kind of problems

Canva says the problems are more complex and ambiguous than the old algorithm questions and cannot be solved with one prompt. Its published example: "Build a control system for managing aircraft takeoffs and landings at a busy airport."

I found no official Canva list of questions, and I would be wary of any page that claims one. What the posts do tell you about the shape of the round:

You choose your own AI-integrated development environment.
Canva's guide advises setting up a basic project structure in your chosen language before the interview.
The round moves through planning, development and discussion.

Example question types (illustrative, not Canva's actual questions)

To practise the shape, try prompts like these:

Design and implement an elevator scheduling system with a simple API and tests.
Build a small booking service that prevents double-booking and handles cancellations.
Implement a rate limiter with configurable policies, then discuss how it would run across several servers.
Build a mini design-editor model: shapes, layers, undo and redo.

Each is open-ended, has edge cases the AI will not volunteer, and invites a discussion about scaling.

What Canva grades

Canva's interviewer guide lists three areas.

Engineering problem-solving. Break down ambiguous problems, make scope and prioritization decisions, consider edge cases and business context.
Technical depth and ownership. Understand your code, spot potential issues, explain architectural choices, and meet production standards.
AI collaboration effectiveness. Use AI for appropriate tasks while keeping technical control, and critically evaluate and refine its output.

The announcement post adds specifics: when and how to use AI effectively, breaking down complex requirements, sound technical decisions with AI as a productivity aid, identifying and fixing issues in AI-generated code, and ensuring solutions meet production standards.

How to approach the round (from Canva's guide)

Canva's guide splits the interview into three phases.

Planning. Clarify requirements and scope, state your assumptions, and sketch your architecture before coding.

Development. Use AI for skeleton code, researching unfamiliar APIs and routine tasks. Pause to assess complex or unfamiliar suggestions. Write code that could pass peer review.

Discussion. Explain each decision, weigh trade-offs, and describe what would need work in production.

More tips from the same guide: think aloud about trade-offs and improvements; if the interviewer asks you a question, give your own answer before turning to AI; review and understand all generated code; and at the end be ready to discuss what you built, why, what you would improve with more time, and how it would scale.

Common mistakes Canva names

Canva's guide calls out three failure patterns:

AI showcase. Focusing on advanced prompting or AI features instead of the engineering task.
Feature marathon. Rushing to implement many features and accepting AI output without careful review.
Hands-off. Letting AI generate the whole solution instead of staying actively engaged.

Add two that follow directly from the grading criteria: skipping the plan, and being unable to explain your own code when the interviewer asks "why did you do it this way?"

Preparation plan

7 days

Day 1: Read both Canva posts. Pick your tool and your language. Create an empty project template with a test runner so setup takes minutes on the day.
Day 2: Do one small product problem end to end. Plan first, then build with AI. Notice where the AI went wrong.
Day 3: Repeat with a different domain. This time write the requirements and assumptions out loud before any prompt.
Day 4: Review drill. After building, read every line the AI produced. Fix or rewrite anything you cannot explain.
Day 5: Fundamentals refresh. Canva still assesses CS fundamentals, so solve two or three medium problems without AI. The DSA patterns sheet is a quick way to cover the main patterns.
Day 6: Timed full run with a narrated screen recording. Watch it back. Did you plan? Did you test?
Day 7: Defend it. Have a friend ask what you would change for production, how it would scale, what could break. Answer without the AI.

3 days

Day 1: set up and one full run. Day 2: review drill plus fundamentals. Day 3: timed run and defending your solution.

Rules and fairness

Canva has told candidates in advance that AI is expected, so there is nothing to hide here. Still, follow the instructions you are given in your interview invitation, use the tools they describe, and practise under the same conditions.

Practising with Thita, honestly

Thita's AI mock interview at /ai-interview is not an AI-pair-coding simulator and does not reproduce Canva's format. It practises the end of a Canva-style round: explaining and defending code. A spoken, adaptive interviewer asks follow-up questions, runs your code against test cases for coding problems, and produces a written report. Use it for Day 7 above and for your fundamentals. The Starter plan is free. For the overall picture of the format across companies, read our AI-assisted coding interview guide; for Meta's version, see the Meta guide. Also see how to pass an AI interview.

FAQ

Does Canva allow AI in coding interviews?

Yes. Canva's engineering blog says it now expects backend, machine learning and frontend candidates to use AI tools like Copilot, Cursor and Claude during technical interviews.

What is the Canva AI-assisted coding interview?

It is a round where you solve a realistic, ambiguous product problem with AI tools, and are graded on problem solving, ownership of the code and how well you collaborate with AI. For backend and frontend roles it replaces the computer science fundamentals screen.

What are the Canva AI-assisted coding interview questions?

Canva has published one example: building a control system for managing aircraft takeoffs and landings at a busy airport. Beyond that, no official list exists, so treat third-party lists as unverified.

Which AI tools can I use at Canva?

Canva names Copilot, Cursor and Claude, and tells candidates to use their preferred AI-integrated IDE. Confirm specifics with your recruiter before the interview.

How long is the Canva AI-assisted interview?

Canva's posts do not state a duration. Ask your recruiter, and plan for a full session that covers planning, building and discussion.

How do I prepare for Canva's AI-assisted interview?

Read Canva's interviewer guide, set up a project template in your language, practise planning before prompting, review every line the AI writes, and rehearse explaining trade-offs and production concerns.

What mistakes should I avoid?

Canva lists three: showcasing AI instead of solving the problem, rushing features and accepting output without review, and letting AI generate the whole solution while you stay hands-off.

Do I still need to know data structures and algorithms?

Yes. Canva says the new format still assesses CS fundamentals and expects full ownership of all code, so keep your fundamentals current.

Is the Canva interview only for engineers?

The posts name backend, machine learning and frontend engineering candidates. They do not describe other roles.

Canva AI-Assisted Coding Interview (2026): What It Is and How to Pass