The Meta AI-enabled coding interview is a roughly 60-minute onsite round, reported since October 2025, in which you work on a multi-file project in CoderPad with an AI assistant that Meta builds into the environment. It replaces one of the two standard coding rounds, so you still get one traditional coding interview without AI. What gets scored is familiar: how you solve the problem, the code you produce, how you verify it and how you communicate. Prompting skill on its own is not the point.
Meta has said very little about this round in public, so this guide keeps three kinds of information apart: what Meta has confirmed, what Meta's own prep guides say, and what prep sites and candidates report, all as of October 2026. Your recruiter's instructions override all of it, including anything on this page.
What Meta has confirmed, and what it hasn't
The round first surfaced in July 2025. Business Insider, following a report by 404 Media, described an internal Meta post about a new type of coding interview in which candidates have access to an AI assistant. A Meta spokesperson confirmed to the outlet that the company was testing how to provide AI tools to applicants during interviews, pointing out that Meta already uses AI to help its engineers with their day-to-day work. According to the reporting, the internal post gave two reasons: the format is closer to how Meta engineers actually work, and it makes outside chatbot help less useful. Meta also asked employees to sit the format as mock candidates while the questions were still being developed.
Meta's public prep material has not caught up. The full loop prep guide on Meta Careers still describes four to six 45-minute interviews covering coding, design and behavioral, and it does not mention an AI-enabled round. It does set the ground rule that matters most here: Meta asks you not to use any unauthorized outside assistance during interviews, and it lists AI tools such as ChatGPT as one example.
Put together, the rule is simple. In the AI-enabled round you may use the assistant Meta puts in front of you, and nothing else. In every other round, the standard no-outside-help rule applies.
The format, as candidates and prep sites report it
Most of the detail below comes from Hello Interview's write-up, which is based on conversations with candidates, with additional points from interviewing.io and Prepfully. Treat every line as a report, not a guarantee.
| Element | What's reported | Reported by |
|---|---|---|
| Length | About 60 minutes | Hello Interview, interviewing.io, Prepfully |
| Place in the loop | Replaces one of the two onsite coding rounds; the other stays traditional, and your recruiter tells you which is which | Hello Interview |
| Who gets it | Software engineer and engineering manager loops, reported up to E7 and M2. Prepfully frames it mainly around E4 and E5, so ask | Hello Interview, Prepfully |
| Environment | CoderPad with three panels: file explorer, code editor, and the AI chat with the instructions. The project already contains classes, data models and logic you didn't write | Hello Interview |
| The assistant | It can read the project files but answers only in the chat panel. It can't edit your files, so you write or paste every line yourself. Candidates can switch between several models | Hello Interview, Prepfully |
| Languages | Java, C++, C#, Python, Kotlin and TypeScript | Hello Interview |
| Running code | You can run the code and its tests. In Meta's standard coding rounds, the guide says the interviewer will not compile your code | Hello Interview; Meta's guide |
| Practice | Meta offers a practice environment with a sample problem candidates call "the puzzle," usually through your recruiter | Hello Interview, interviewing.io |
The biggest shift from a standard Meta coding round is scale. Meta's guide tells candidates to expect about two problems in about 40 minutes, written without running anything. The AI-enabled round is one extended problem inside an existing codebase, and reading that codebase quickly is a large part of the work.
The three phases of the problem
Hello Interview describes one problem that unfolds in three phases. Candidates report a small pool of problems, such as a maze solver, so the advice everywhere is to prepare for the format rather than memorize solutions.
- Find and fix a bug. The existing code fails a test because of a non-algorithmic mistake, such as a type that gets cast incorrectly, an off-by-one error or a wrong conditional. Some interviewers also ask you to explain what the tests do or the complexity of the existing code. Candidates repeatedly say their biggest regret was skipping the reading and jumping straight to the fix.
- Implement the core feature. This is the main event and the phase where using the AI is explicitly expected. Candidates describe the implementation as substantial, well over a hundred lines.
- Optimize. Larger, tiered test inputs break the phase 2 solution. Sometimes the fix is a faster version of the same idea; sometimes it means switching algorithms entirely, for example from a greedy approach to a trie.
Finishing all three is not a hard requirement, according to candidate reports: several who ran out of time in phase 3 still received offers. Time is tight, though. After reading the code and fixing the bug, Hello Interview estimates you have roughly 30 minutes for implementation and optimization, so knowing the common algorithms cold still matters.
How the round is scored
Meta's official guide lists four focus areas for its coding interviews, and Hello Interview reports that the AI-enabled round is graded on the same four. The difference is in what good evidence looks like when an assistant is in the room.
| Focus area | What Meta's guide asks for | What it looks like with an AI assistant |
|---|---|---|
| Communication | Ask for requirements and clarity; treat the interview as a conversation | Say why you're prompting, what you asked for, and what you'll check in the answer |
| Problem solving | Explain your reasoning, compare solutions, choose data structures, discuss complexity, optimize | Pick the approach yourself before you prompt. Use the AI to speed up a plan, not to choose one |
| Coding | Turn a solution into organized, executable code | Every pasted line is yours to own. Keep changes to the existing code small and readable |
| Verification | Consider test cases, argue correctness, find your own bugs | Run the tests, read AI output for edge cases and for methods that don't exist in this codebase, and explain the fix |
Interviewing.io's guide adds a useful warning. It says Meta's materials describe using the AI as optional, but that in practice interviewers watch how well you use it, and that leaning on it as a crutch counts against you. Hello Interview reports a recruiter saying much the same thing. Both point toward a balanced approach: use the assistant where it saves time, and show at every step that you understand the code.
How to work with the assistant
- Read before you prompt. Spend the first few minutes on the data models and the failing test. Five minutes of reading usually saves more than five minutes of debugging.
- Say your plan out loud first. Then hand the assistant well-defined pieces: a helper function, a parser for the input file, extra test data, or a check of your plan's complexity.
- Review everything it returns. Look for off-by-one errors, missed edge cases, a visited set that never gets updated, and calls to methods this project doesn't have.
- Never paste code you can't explain. If an answer confuses you, say so and write that part yourself.
- Have a fallback. Several candidates told Hello Interview the assistant was less helpful in the real interview than in practice. Be ready to carry the algorithm yourself.
Here are three example prompts we wrote to show the level of specificity that tends to work. They are illustrations, not prompts Meta publishes:
Here is my plan: BFS from the start cell with a visited set, storing parents to rebuild the path. What is the time and space complexity for an R x C grid?Write a helper that reads maze.txt into a list of lists of chars. Don't change any other file.Give me five edge-case grids for this function: no path, start equals end, a single row, and two equally short paths.
A two-week prep plan
This plan assumes you're already comfortable with core data structures in one language. Your recruiter can tell you which of your coding rounds is AI-enabled; prepare for both.
| Days | Focus | What to do |
|---|---|---|
| 1–3 | Fundamentals, no AI | Arrays, hash maps, BFS and DFS, heaps, trees. Meta's guide says it doesn't ask dynamic programming questions in its coding interviews, so spend that time elsewhere. Our Meta coding interview questions guide has worked examples |
| 4–6 | Reading unfamiliar code | Open a small open-source project, pick a failing test or an issue, and find the cause in 10 minutes. Narrate what each file does |
| 7–9 | AI-assisted sessions | Run 60-minute sessions on a multi-file starter project: fix a planted bug, add a feature, then make it handle a much larger input. Follow the same rule as the real round: you type or paste every line and explain it |
| 10–11 | Weak-AI drills | Repeat a session with the assistant switched off, to rehearse carrying the algorithm yourself |
| 12–13 | The real environment | Work through Meta's practice environment from your recruiter at least twice, then do one full spoken rehearsal |
| 14 | Logistics | Confirm your language, which round is AI-enabled and any accommodation, and test your camera, microphone and connection |
The part most people under-practice is talking while they work. A free AI mock interview in CoPilot Interview helps with that: in the desktop app you set coding as the mix, choose your language and add a focus such as debugging, and it reads each question aloud, waits while you think (coding questions never auto-submit), then scores your spoken answer out of 10 with what to fix and a model answer. Take the interview yourself and follow the employer's rules, including Meta's instructions on which AI tool is allowed — use CoPilot Interview to practice beforehand.
For the rest of the loop, see the Meta software engineer interview process, and for running code against a live interviewer, our CoderPad interview tips. The free coding interview cheat sheet and Big-O complexity visualizer help with the phase 3 trade-off conversation.
Questions to ask your recruiter
- Is one of my coding rounds AI-enabled, and which one?
- Can I get access to the practice environment, and when?
- Which languages are supported in that round?
- Which AI models or tools will be available, and is anything else allowed?
- How do I request an accommodation, if I need one?
Write the answers down. If anything you read online, including this guide, conflicts with what your recruiter says, follow the recruiter. More ideas are in our list of questions to ask a recruiter.
Rehearse explaining your code out loud
CoPilot Interview's free Mock Interview builds coding questions from your résumé and the job description, lets you think without a timer forcing a submit, and scores each spoken answer out of 10. You get 15 free minutes every day, with no credit card.
Try a free AI mock interviewFAQ
What is the Meta AI-enabled coding interview?
It is a roughly 60-minute onsite coding round, reported since October 2025, where you work on a multi-file CoderPad project with an AI assistant built into the environment. It replaces one of the two standard coding rounds, and the other round stays traditional.
Does every Meta candidate get the AI-enabled round?
No. Prep sites report it for software engineer and engineering manager onsite loops, with level ranges that differ between sources. Your recruiter tells you whether your loop includes it and which coding round it replaces.
Can I use ChatGPT or my own AI tools in a Meta interview?
No. Meta's prep guide asks candidates not to use unauthorized outside assistance, including AI tools like ChatGPT. In the AI-enabled round, use only the assistant Meta provides inside the interview environment.
How is the Meta AI-enabled round scored?
Hello Interview reports the same four focus areas Meta's guide lists for coding interviews: communication, problem solving, coding and verification. Using the assistant well helps; using it as a crutch, or pasting code you can't explain, hurts.
Do I need to finish all three phases?
Not necessarily. Candidates report receiving offers without finishing the optimization phase. Interviewers look at your approach, the quality of your code and how you verify it, so make steady progress rather than rushing.
How should I practice for the AI-enabled round?
Practice reading unfamiliar code, run timed sessions where you fix a bug, add a feature and then optimize, rehearse with the AI turned off, and use the practice environment your recruiter can share. Practice explaining each step out loud.