InterviewMentor: Claude Mocks

Most technical interviews still have a weird bottleneck: you can read 200 pages alone, but you usually need another person’s calendar to practice the part where someone interrupts you, changes the question, and asks why you picked Redis over PostgreSQL. (github.com) That is the gap new tools like InterviewMentor are trying to fill by turning Anthropic’s Claude into a mock interviewer instead of a chatbot. The open-source project describes itself as a collection of specialized interview “skills” for Claude Code and other assistants. (github.com) A mock interview is different from a study guide because the hard part is not just knowing the answer. The hard part is thinking out loud for 45 minutes while someone keeps pushing on trade-offs, edge cases, and missing assumptions. (bytebytego.com) System design interviews are the clearest example. Alex Xu’s widely used book teaches a step-by-step framework because companies are not grading one perfect diagram; they are grading how you scope a vague problem and make choices under pressure. (books.google.com) InterviewMentor’s GitHub repo says its agents cover different domains, role types, and difficulty levels, including entry-level software engineering topics and system design tracks. The repo also lists adaptive difficulty, a four-level hint system, progress tracking, and distinct interviewer personas. (github.com) The consumer site for Interview Mentor pitches the same idea in a simpler form: voice-based practice, instant feedback, skill selection, and no scheduling. It says users can practice topics like React, TypeScript, JavaScript, Node.js, and Python, then review scores and skill mastery over time. (interviewmentor.app) That “no scheduling” part is the real product. A human mock interview usually means finding a friend, matching time zones, and hoping they know how to probe your answer; software can start at 11:40 p.m. and never get tired after the third “design a rate limiter” run. (interviewmentor.app) Claude is a sensible model for this because Anthropic is already publishing interview-practice workflows on its own site. One official example shows Claude building a consulting case practice environment with structured guidance and feedback, which is the same basic pattern now being pushed into software interview prep. (claude.com) The timing also fits a broader interview-prep wave around system design. ByteByteGo still sells a dedicated system design interview course, and its public “System Design 101” repository says it exists for both interview prep and understanding how large systems work. (bytebytego.com) (github.com) So the shift here is not that candidates suddenly have more reading lists. The shift is that the reading list, the interviewer, the hints, and the postmortem are starting to collapse into one on-demand tool that can run a coding round, a machine learning round, or a system design round whenever you open your laptop. (github.com)