Coding interview guide
Meta coding interview: the classic and AI-enabled rounds
A Meta software engineering loop can now include two kinds of coding interview: the classic round (two algorithm problems, fast, no AI) and a newer AI-enabled round where you work in a multi-file codebase with an AI assistant built into CoderPad. Here's what Meta says officially, what candidates report, and how to prepare for both.
Meta publishes a hiring-process FAQ and an engineering interview prep post, but not its scoring rubric. Round-level details below come from those pages plus candidate reports and prep sites (sources at the end). Reports conflict in places, which we flag. Your recruiter is the authoritative source for your loop.
The Meta SWE process at a glance
| Stage | What to expect |
|---|---|
| Recruiter call | Background, role fit, level and timeline. Meta says the whole process typically takes about 2 to 3 months. |
| Technical screen | About 45 minutes with a Meta engineer: a few minutes of introductions, roughly 35 minutes of coding (usually two problems), then your questions. |
| Full loop (onsite, usually virtual) | Coding rounds (one may be the AI-enabled format), a design round (system design or product architecture), and a behavioral round. Senior candidates often get more design. |
Meta's official prep post describes 45-minute coding interviews in the full loop that are "typically harder than the initial interview." Some reports describe extra steps at senior levels, and staff-level loops look different again, so ask your recruiter for your exact rounds.
The classic coding round
This is the format most people mean by "the Meta coding interview." Candidates and prep sites describe it consistently:
- Two problems in about 35-40 minutes. Usually LeetCode medium level, sometimes an easier warm-up plus a harder follow-up. Meta's own prep post says its questions are meant to take 10-30 minutes each and that it doesn't ask trick questions.
- No code execution. Many reports say you write code in CoderPad with execution turned off (or a plain editor), so you must test by tracing examples yourself. Minor syntax slips are usually tolerated; missing logic is not.
- Speed matters. With two problems in one slot, there's little time for long exploration. One prep site sums it up as "speed wins": an incomplete algorithm usually doesn't pass.
- Common topics. Arrays and strings, hash maps, two pointers, sliding window, stacks and queues, binary trees, graphs (BFS/DFS), heaps and intervals. Two prep sites say dynamic programming is rarely or never asked.
Meta's guidance is explicit about what earns credit: "It's better to have non-optimal but working code than just an idea," and interviewers "pay a lot of attention to the way you solve problems."
The AI-enabled coding round
Meta began piloting this format in October 2025, according to several prep sites, and its hiring page now confirms that "many of Meta's interviews now include an AI assistant built into the interview environment."
What Meta says officially
- The assistant is built into CoderPad and includes Claude, ChatGPT, Gemini and Meta's own models; candidates can pick a model.
- "Candidates are expected to use this AI assistant as part of the interview."
- "No outside AI tools or assistance are authorized." Only tools inside the interview environment are allowed.
- Prep materials, including a practice session in the same tool, are available through your Career Profile. Meta suggests getting comfortable "reading, debugging, and building on existing code."
- Supported languages listed: Python, Java, TypeScript, C++, C#, Kotlin, Swift, Rust and Go.
What candidates and prep sites report
- 60 minutes, replacing one of the two onsite coding rounds; the other stays classic.
- One extended problem in a multi-file codebase you didn't write, often a few hundred to a few thousand lines. Reports describe phases such as fixing a bug, implementing a core feature, then optimizing, plus questions about complexity and trade-offs.
- You can run code and tests, unlike the classic round. One report says the assistant answers in the chat panel and you write or paste code yourself.
- Grading looks familiar. Reports say interviewers still assess problem solving, code quality, verification and communication. Blindly accepting AI output is a common failure mode; you should be able to explain every line you submit.
Where reports conflict: the exact model list (it changes, and Meta's FAQ names model families, not versions), which levels get the round (some sources say E4/E5, others say most levels, with staff and manager candidates getting only the AI-enabled round), and whether it's still a limited pilot or broadly rolled out. Check with your recruiter.
Design and behavioral rounds
The design round is usually either system design or product architecture, and Meta says design interviews "almost never involve coding." Its hiring FAQ adds that design interviews run in CoderPad with Mermaid diagrams and the same AI assistant. For how the two design flavors differ, see System Design LLM's Meta product architecture vs system design guide. For the behavioral round, Meta recommends concrete STAR-style examples, including honest ones about failures.
A six-week prep plan
- Weeks 1-2: patterns. Work a standard list (see Blind 75 vs NeetCode 150), weighting arrays, strings, hash maps, trees and graphs. Learn each pattern, not each problem.
- Weeks 3-4: Meta pacing. Do two mediums back to back in 40 minutes, in a plain editor with no run button. Say your approach out loud, then dry-run your code on a small input before declaring it done.
- Week 5: AI-enabled practice. Open an unfamiliar multi-file project, fix a bug and add a feature using an AI assistant. Practice reading code fast, writing tight prompts, and checking every suggestion with a test. Use Meta's practice environment from your Career Profile as soon as you have access.
- Week 6: mocks and review. Run at least two full mocks with a peer, revisit problems you got wrong, and prepare four or five behavioral stories.
For solo practice, you can screenshot a problem in Interview LLM to get a worked solution with time and space complexity, then close it and re-solve the problem from scratch. Keep outside tools out of the real interview: Meta only allows what's in its own environment.
Sources (checked Nov 14, 2026)
- Meta Careers, "Hiring process" (including the AI interview FAQ): metacareers.com/hiring-process
- Meta Careers, "Preparing for your software engineering interview at Meta": metacareers.com/blog/preparing-for-your-software-engineering-interview-at-meta
- interviewing.io, "Meta interview questions and process": interviewing.io/meta-interview-questions
- Hello Interview, "Meta's AI-enabled coding interview": hellointerview.com/blog/meta-ai-enabled-coding
- Prepfully, "Meta AI-assisted coding interview": prepfully.com/interview-guides/meta-ai-assisted-coding-interview
- Prepfully, "Meta SWE coding interview": prepfully.com/interview-guides/meta-swe-coding-interview
FAQ
Does every Meta candidate get the AI-enabled coding round?
No. Meta's hiring page says select roles now include an AI assistant in CoderPad. Prep sites report it replacing one of the two onsite coding rounds for many software engineering candidates, but which levels get it varies by report. Your recruiter will tell you which formats are in your loop.
Can I run my code in Meta's coding interviews?
In the classic rounds, candidates and prep sites consistently report that code execution is off, so you trace through examples by hand. In the AI-enabled round, reports say you can run code and tests. Confirm with your recruiter, since environments change.
Does Meta ask dynamic programming questions?
Two prep sites say dynamic programming is rarely or never asked in Meta's classic coding rounds, with arrays, strings, hash maps, trees and graphs much more common. Treat that as a weighting, not a guarantee.
Can I use my own AI tools in the AI-enabled round?
No. Meta's hiring FAQ says only the tools inside the interview environment may be used, and no outside AI tools or assistance are authorized.