Marauder Bot

If your mental model of coding interviews was formed before 2023, parts of it are stale. If it was formed from this year's discourse, parts of it are overcorrected — the "LeetCode is dead" posts keep being written, and the LeetCode-style screens keep being sent. Here's a grounded picture of what candidates are actually walking into in 2026.

The funnel, stage by stage

Resume screen → recruiter call. Largely unchanged, except that AI reads many resumes before a human does.

The online assessment. Still the workhorse filter for high-volume pipelines — typically 60–120 minutes on HackerRank, CodeSignal, or a company's own platform, mixing algorithm problems with multiple-choice sections. What's changed is the trust model: because modern AI can solve most of these outright (we've written about that shift), companies now sit on a spectrum from unproctored-and-unbothered to webcam-proctored lockdown. Read your invitation email carefully — it tells you which world you're in and what you're agreeing to.

Live technical rounds. The 45-minute algorithm interview is alive and well, but it has company: debugging rounds ("this code has three bugs, find them"), code-review rounds ("critique this PR"), and pair-programming sessions on realistic codebases are all growing, because they're harder to game and closer to the job.

System design. Still the make-or-break round for mid-level and senior candidates, and increasingly asked of juniors too. The format hasn't changed; the bar has crept up. (Primer here.)

Behavioral. Unchanged in format, heavier in weight than most engineers assume.

The big variable: AI policy

The single biggest difference between two companies' processes in 2026 is their stance on AI assistance:

Prohibited and enforced — proctored assessments, an explicit no-tools agreement, sometimes an in-person final round. Common at companies burned by AI-assisted screens.
Prohibited on paper, unenforced — the largest group. The same unproctored assessments as 2020, with a line in the instructions.
Explicitly allowed or required — a fast-growing minority. Some interviews now hand you an AI assistant and grade how well you direct it, on the theory that this is the job now.

Practical advice: know which regime you're in before every stage, and honor what you agree to. The variance also means your preparation has to cover both performances — working raw, and working fluently with AI.

What to prepare, given all this

The fundamentals still pay. Data structures, algorithm patterns, complexity analysis: every stage assumes them, whatever the AI policy. The three question types haven't changed.

Add the newer formats to your practice. Reading unfamiliar code fast, spotting bugs, critiquing a PR out loud. If your prep is 100% fresh-problem solving, the debugging round will feel foreign.

Practice the performance, not just the content. Thinking aloud, pacing a 45-minute slot, testing your own code before declaring done — the classic failure modes are all performance failures, and they're trainable.

Build a fast review loop. The candidates improving fastest in 2026 share one habit: tight attempt-review cycles. Do a timed session, then immediately study worked solutions against your own attempt. That review step is what Marauder Bot is built for — it reads a practice or assessment page and returns structured answers for every question on it (code with unit tests, MCQ answers with explanations, design writeups), so the review starts seconds after the attempt ends instead of after an evening of forum archaeology.

The honest summary

Expect a funnel that looks mostly traditional, with sharply increased variance company to company — in formats, in proctoring, in AI policy. Prepare the fundamentals, rehearse the performance, know each company's rules, and keep your feedback loop short. If the review loop is the piece you're missing, the free trial is 15 page analyses over 7 days — enough to run it on a week of practice sessions.