The risk here is being assessed as shallow on both sides. Pick a depth to demonstrate — usually the backend — and be explicit about where your expertise thins out rather than bluffing across the whole stack.
Engineering loops are the most structured of any discipline, and the most predictable. Expect a recruiter screen, one or two technical rounds, a system design conversation at mid-level and above, and a behavioural round that is usually underestimated.
The technical rounds are rarely won on the answer. They are won on narration — whether the interviewer can follow your reasoning while you work, and whether you say the trade-off out loud instead of silently picking one.
MockLive AI runs a spoken Full-Stack Engineer mock interview — behavioral, live coding, system design and technical deep-dive rounds — with an AI interviewer who asks questions like “Which half are you stronger in, and what does the weaker half cost you?”, follows up on what you actually say and scores you on a fixed rubric; the first 7-minute interview is free. How it compares with other AI interview tools →
Each round is run by the interviewer built for it, with its own scoring axes — not one generic interviewer asked to change subject.
A balanced round across experience and role-specific topics.
Scored on: Technical communication · Engineering depth · Ownership & collaboration
Past experience, STAR stories, collaboration, and conflict.
Scored on: Technical communication · Engineering depth · Ownership & collaboration
Solve a coding problem in the editor, out loud.
Scored on: Problem-solving communication · Engineering correctness · Adaptability & craft
How the live coding round works →Architecture, scale, data models, and trade-offs.
Scored on: Technical communication · Engineering depth · Ownership & collaboration
Drill into your resume projects and domain fundamentals.
Scored on: Problem-solving communication · Engineering correctness · Adaptability & craft
Six you can expect, in the register interviewers actually use. Answer them out loud before you read the next section — reading a question and answering one are different skills, and only the second is marked.
The gap between these two is most of your score, and it is easier to see than to be told.
“Which half are you stronger in, and what does the weaker half cost you?”
"I'm comfortable across the whole stack." Interviewers hear this constantly and read it as a candidate who is mid at both and cannot self-assess.
Pick one, name it, and be concrete about the gap — 'backend; I can build the interface but I would not be the person choosing the state management approach for a large app, and here is what I do about that.' Calibrated self-assessment scores; breadth claims do not.
The post-mortem nobody sends you. These are specific to this loop rather than general interview advice.
For Full-Stack Engineer roles, a general round runs with Kai — system design, trade-offs, and war stories from production. It is the fastest way to find out which round you actually need to work on. The first session is free.
Practise a Full-Stack Engineer interview →Before you practise, it is worth reading how the common rounds are marked: tell me about yourself, behavioural questions and STAR, and system design.
Questions like these: “Which half are you stronger in, and what does the weaker half cost you?” “Walk me through a feature end to end — schema to pixels.” “Where do you put business logic, and why not the other side?” “How do you decide an API shape when you are also writing the client?” “Tell me about a time the frontend and backend assumptions diverged.” “How do you keep types honest across the boundary?”
Expect General / Mixed (A balanced round across experience and role-specific topics), Behavioral (Past experience, STAR stories, collaboration, and conflict), Live Coding (Solve a coding problem in the editor, out loud), System Design (Architecture, scale, data models, and trade-offs) and Technical Deep-Dive (Drill into your resume projects and domain fundamentals). The risk here is being assessed as shallow on both sides. Pick a depth to demonstrate — usually the backend — and be explicit about where your expertise thins out rather than bluffing across the whole stack.
Bluffing depth on both sides, which collapses the moment one pointed question lands. Describing the feature as a sequence of tasks rather than a set of decisions with an owner. No opinion on where logic belongs, which suggests you have never been on the wrong side of that choice.
Out loud, with someone who follows up. MockLive AI's interviewer for this role asks these questions, pushes back on thin answers and scores you on a fixed rubric, with the transcript and every answer replayable. The first 7-minute interview is free and needs no card.