Meta AI-Assisted Coding Interview (2026): Format, Tools and How to Prepare

Meta's AI-enabled coding interview is an onsite coding round, started in October 2025, where you get a built-in AI assistant while you work in CoderPad. It replaces one of the two traditional coding rounds; you still get a classic problem without AI. Candidates report about 60 minutes on a multi-file project with phases such as fixing a bug, implementing a feature, and optimizing. Meta has said little publicly, so most detail below is candidate-reported and labelled that way. This page is current as of October 2026.

At a glance

Question	Short answer
Does Meta allow AI in coding interviews?	Yes, in one specific round: the AI-enabled coding round, in a CoderPad environment with a built-in assistant
When did it start?	October 2025 (Meta's recruiting team and CoderPad's announcement)
Which roles and levels?	Reported for software engineers and engineering managers on the onsite loop; one source says up to E7 and M2. Early reports mentioned E4 and E5
Does it replace a round?	Reportedly replaces one of two coding rounds. The other stays a no-AI problem
How long?	Candidates report about 60 minutes (not officially confirmed)
Which AI models?	Varies by report: GPT, Claude, Gemini and Llama models have all been listed. Not official
Can the AI write code into the editor?	Candidates report it can see files but not edit them, so you write or paste the code
What is graded?	Problem solving, code quality, verification and communication (reported)

What is official and what is reported

Be careful with this topic, because a lot of what circulates is second-hand.

Official. CoderPad's October 30, 2025 post describes a pilot of AI-enabled coding interviews on its platform where candidates use the same kinds of AI tools Meta engineers use. It quotes Meta's recruiting team: "It's not 'cheating,' it's how the job is evolving." That post gives no duration, rubric or model list. CoderPad is a vendor, so read it as marketing plus Meta quotes.

Reported by candidates and prep sites. Hello Interview's write-up is the most detailed I found. It cites an internal Meta message describing "a new type of coding interview in which candidates have access to an AI assistant," and separates what recruiters said from what candidates report. Everything about duration, phases and models below is in the candidate-reported category.

Where sources disagree. The level range is one example: early coverage framed this around E4 and E5 candidates, while Hello Interview reports it covers software engineer and engineering manager loops up to E7 and M2. Model lists also differ between write-ups and appear to change over time. Treat both as moving targets and ask your recruiter.

Format: what candidates report

Per Hello Interview's compilation of candidate reports (not confirmed by Meta):

• Length. About 60 minutes, including 5 to 6 minutes of orientation.
• Environment. A three-panel CoderPad layout: files, editor and test runner, and AI chat. The AI can read your project files but cannot edit them, so you write or paste all code.
• Languages. Java, C++, C#, Python, Kotlin and TypeScript were reported.
• Phases. (1) Fix a bug in existing code, often without AI. (2) Implement the core feature with AI allowed, typically 120 or more lines. (3) Optimize against larger, tiered test data.
• Completion. Some candidates reportedly received offers without finishing all three phases.
• Practice environment. Recruiters reportedly give candidates with scheduled interviews access to a practice environment with a sample problem. Ask for it.

The no-AI round is separate. Recruiters tell you which interview is which.

Tools available in the environment

The environment is CoderPad with an AI assistant sidebar. Reported models include GPT-4o mini, GPT-5, Claude Haiku and Sonnet variants, Gemini 2.5 Pro and Llama 4 Maverick, with a model switcher. One newer write-up lists later model versions, so the list has clearly changed over time and I will not give a definitive one. What matters is that you can choose among several models, and candidates report that behaviour differs between practice and the live round.

That last point is worth planning around. Several candidates told Hello Interview the AI was less helpful in the real interview than in practice; one E7 candidate said a Claude model "worked brilliantly in practice but gave wrong answers repeatedly during the interview." The author's guess, which is unconfirmed, is that the assistant may be configured not to point out bugs or hand over full solutions unprompted. Do not build a plan that depends on the AI being brilliant.

Example problem types (as reported)

Hello Interview lists five commonly reported problems, and an internal source estimated about nine in the pool. These are candidate reports, not an official list:

• Maze solver with path printing
• Maximize unique characters from a word list
• Card game: find three cards summing to 15
• Friend recommendation system
• Maze pathfinding algorithm

Notice the pattern: familiar graph, search and combinatorics ideas wrapped in a small multi-file codebase with tests, and then a performance phase. The skills overlap with Meta's standard coding rounds, so our Meta interview questions and process guide and Meta coding interview patterns still apply. For the patterns Meta asks most, see the Meta DSA patterns page.

How it is graded

Meta has not published a rubric. Hello Interview reports Meta assesses the same four competencies as in traditional coding interviews:

1. Problem solving. Understand the problem, reason about edge cases, choose a suitable algorithm.
2. Code quality. Clean, efficient code, and understanding what the AI generated.
3. Verification. Run code often, check AI output, test edge cases.
4. Communication. Narrate your process and manage the conversation with both the AI and the interviewer.

An internal source summarized the standard as "Don't prompt your way out of it." In other words, the AI is a tool, and the interviewer is looking at you.

How to prepare

Step 1: Get the practice environment

Ask your recruiter for the practice session. Use it to learn the layout, the chat, the model switcher and the test runner so none of that costs you time on the day.

Step 2: A 7-day plan

• Day 1: Re-solve two classic medium problems (graphs and search) with no AI, because the bug-fix phase is often without it.
• Day 2: Take a small multi-file project and read it before changing anything. Candidates are advised to review the codebase before debugging.
• Day 3: Practise phase 1: find and fix a planted bug by reading code and running tests.
• Day 4: Practise phase 2. State the algorithm first, then use an assistant for boilerplate and well-known data structures. Write specific prompts with full context.
• Day 5: Practise phase 3. Ask the assistant to confirm your complexity estimate, then optimize against a bigger input and measure.
• Day 6: Full 60-minute timed run, narrating throughout.
• Day 7: Explain your solution to someone who asks follow-ups. Can you justify every line without opening the chat?

Step 3: Habits that Hello Interview's candidates recommend

• State your approach before coding, then use AI to implement it.
• Use AI for boilerplate, complexity analysis and benchmarking, not for finding the core insight.
• Verify each step by running code before moving on.
• Do not paste code you cannot explain.
• Manage time. Optimization carries weight, and finishing every phase is not required.

Rules

Use only the assistant provided in the environment unless told otherwise, and follow the instructions your recruiter gives you. Practise under the same conditions you will be tested in.

Common mistakes

• Asking the AI to solve the whole problem and pasting the result.
• Skipping the bug-fix phase's reading step and jumping straight to prompts.
• Trusting a confident but wrong AI answer without running tests.
• Going silent while waiting on the AI.
• Neglecting the no-AI round, which still exists.
• Running out of time before the optimization phase because you over-polished phase 2.

Practising with Thita, honestly

Thita's AI mock interview at /ai-interview is not an AI-pair-coding simulator and does not replicate Meta's CoderPad environment or its assistant. It practises explaining and defending code: a spoken, adaptive interviewer asks follow-up questions, runs your code against test cases for coding problems, and gives a written report. That is useful for the communication and "do you understand what you wrote" part of Meta's rubric, and for your no-AI round. Starter is free; Pro adds more mocks and company kits. For the broader picture, see our AI-assisted coding interview guide.

FAQ

What is the Meta AI-enabled coding interview?

It is an onsite coding round, started in October 2025, in which you get an AI assistant inside a CoderPad environment. It is graded on the same four competencies as a normal coding round, according to reports.

Does Meta allow AI in coding interviews?

Yes, but only in that dedicated round. Meta's recruiting team told CoderPad it is "not 'cheating,' it's how the job is evolving." Your other coding round is reportedly a normal no-AI interview.

What are the Meta AI coding interview questions?

Candidates report maze solving with path printing, maximizing unique characters from a word list, a three-cards-summing-to-15 game, and a friend recommendation system. These come from candidate reports and are not an official list.

How long is Meta's AI-enabled coding interview?

Candidates report about 60 minutes, including a few minutes of orientation. Meta has not published the duration.

Which AI models does Meta's interview use?

Reports list several models from OpenAI, Anthropic, Google and Meta, and the lists differ by date. Meta has not published an official list, so check your practice environment.

How do I prepare for the Meta AI coding interview?

Get the practice environment from your recruiter, rehearse reading a multi-file codebase, fixing bugs, implementing a feature and optimizing, and practise narrating. Keep your no-AI fundamentals sharp.

Does the Meta AI assistant write code for you?

Candidates report it can read your files but not edit them, so you write or paste code yourself. It also may not hand over full solutions.

Do I need to finish all the phases?

Reportedly no. Some candidates received offers without finishing all three phases, but this is anecdotal.

Is there a Meta AI-assisted coding interview on Reddit or Blind?

Yes, candidates discuss it there, and those threads are the source of many details. Treat them as reports, not facts.