Meta interview breakdown and Claude mock
A recently shared candidate breakdown outlines Meta's interview flow — recruiter screen, LeetCode‑medium tech screens, onsite coding, system‑design emphasis on scalability, and behavioural rounds that focus on quantified stories. Separately, a public repository that turns Claude into a FAANG‑style interviewer promises timed, rubricled practice for coding, system design, ML and behavioural rounds. (x.com) (x.com)
A candidate breakdown circulating online sketches a Meta software engineering loop that still starts with coding and ends with judgment on scale, ownership, and story quality. (prepfully.com) Recent Meta interview guides describe a recruiter screen of about 30 to 45 minutes, followed by a 45 to 60 minute coding screen in CoderPad and then onsite technical rounds. One 2026 guide says candidates are judged on arrays, strings, hash maps, trees, recursion, edge cases, and how clearly they explain tradeoffs. (prepfully.com) Former interviewers and prep platforms describe the onsite as two or three coding rounds, a system design round for mid-level and senior candidates, and a behavioral interview. A separate 2026 guide says Meta expects engineers to discuss scalability, efficiency, stability, autonomy, and ambiguity. (hellointerview.com) (igotanoffer.com) That lines up with the advice candidates keep repeating in public notes: coding questions often look like LeetCode-style problems, but the hiring signal widens as level rises. Prepfully’s 2026 guide says recruiter screens test whether a candidate can turn past work into problems, constraints, scale, and outcomes before any code is written. (prepfully.com) The second half of the story is the practice market forming around that format. A public GitHub project called “AI Interview Simulator” says Claude can run technical, behavioral, system design, and human resources or culture-fit sessions, ask follow-ups in real time, and score answers on clarity, depth, relevance, and communication. (github.com) The repository says users pick a target company such as Meta, a role such as software engineer or data scientist, and a level from junior to staff or principal. Its README says a session runs for 5 to 10 questions and then returns a scored review, with the user supplying an Anthropic application programming interface key stored in local browser storage. (github.com) That setup mirrors the shift in interview prep from static question banks to simulated loops. Meta-specific prep guides published in 2026 now describe not only coding and design rounds, but also a newer artificial-intelligence-enabled coding round in some processes, suggesting candidates are preparing for a wider mix of formats than the old phone-screen-plus-onsite model. (igotanoffer.com) The common thread is that both the company process and the mock tools reward structured explanation, not just correct answers. Meta guides emphasize narration, self-debugging, clarifying questions, and quantified results from past work; the Claude-based mock tools turn those same habits into repeatable drills. (prepfully.com) (github.com)
