Microsoft interview LeetCode prep

You have probably seen the advice to finish several hundred problems before applying, and you want to know whether that number means anything. This section separates what LeetCode genuinely trains from what it leaves untouched, so you can spend the hours where they pay. The short version: it builds the recall you need and skips the performance you are scored on.

What it trains well is real. Recognising which data structure a problem wants, writing correct code without a compiler in front of you, and knowing the complexity of what you just wrote are all necessary, and repetition is how they become automatic.

What it leaves out is everything social. Nobody interrupts your solution to ask why you chose a hash map. Nobody adds a constraint halfway through and watches how you react. You never have to say a wrong idea out loud and then correct it while a stranger listens. That is the part a Microsoft round is built to observe.

Coverage matters more than volume, and the recurring patterns are a short list:

• Two pointers and sliding window. On arrays and strings, often with an in-place requirement.
• Hash maps. Where the difficulty is deciding what to key on, not the lookup.
• Tree traversal. Depth-first and breadth-first, path sums, lowest common ancestor.
• Graph search. Grid problems, connected components, shortest path on unweighted graphs.
• Linked lists. Reversal, merge, and cycle detection.
• Approachable dynamic programming. One-dimensional state, the coin change and stairs family.

A useful stopping test: pick a solved problem at random and explain, out loud, why that pattern applies and what would break the alternative. If you can do that across the list above, more volume adds little. Other companies' loops are broken down on the company interviews topic hub.

Four differences change how you should practise. You talk before you type, since interviewers expect an approach and a complexity estimate before code appears. Constraints arrive mid-problem, and the follow-up is the real question. There is no submit button, so you reason about edge cases yourself instead of reading a failure message. And the whole thing happens on Microsoft Teams, usually in a shared editor, while somebody watches.

A candidate preparing for a mid-level role had cleared well over two hundred problems and still stalled in the loop. The recording of a practice session showed the cause: eleven minutes of silence before the first line of code. The fix was not more problems, it was solving three of the ones they had already done while narrating every decision.

Running that kind of timed spoken rehearsal against an AI interviewer works on the mock interview page.

Turn the last stretch of preparation into performance practice. Re-solve familiar problems out loud on a timer, state the approach before typing, and force yourself to give the complexity unprompted. Record a session and listen for the silences, since those are what an interviewer experiences.

SubcueAI is built for the spoken rounds of a loop rather than for the coding round. The native macOS and Windows app captures system audio plus your microphone and shows suggestions in a floating local overlay; the browser extension's Side Panel does live assist for a meeting tab on Chromium browsers, capturing that tab's audio only. No meeting bot joins the call, and nothing is injected into the meeting page.

The limit is worth stating plainly. A Microsoft coding round normally means sharing your screen, and anything on your screen is inside that share. Where an assistant applies is the recruiter conversation, the behavioral rounds, and the design discussion. What it captures and stores in those rounds is on the security page.