AI prompts for tech interviews help US software engineers, data engineers, ML engineers, and product managers rehearse the specific rounds that make up a modern tech loop: leetcode-style coding, system design, take-home code review, behavioral STAR, and product sense. Every template below is anchored to real interview constraints — 25-minute coding rounds, 45-minute system design walkthroughs, and the 'tell me about a time you disagreed with a decision' question that shows up in almost every engineering behavioral loop.
The templates assume US tech recruiting context: FAANG-and-adjacent loops with a phone screen, virtual onsite of 4–6 rounds, and a hiring committee review afterward. Coding rounds are typically language-of-your-choice on CoderPad, HackerRank, or a shared IDE; system design rounds are on Excalidraw or a whiteboard; behavioral rounds use STAR scoring rubrics. The prompts below produce material that fits each of those formats without reinventing your prep every cycle.
This content is educational only and is not a substitute for solving real problems on LeetCode, Grokking the System Design Interview, or Educative — the AI helps you rehearse and pattern-match, but you still need to write real code and design real systems on a whiteboard. Never share confidential problems from your current employer or from a prior loop under NDA.
AI prompts for tech interviews help US software engineers, data engineers, ML engineers, and product managers rehearse the specific rounds that make up a modern tech loop: leetcode-style coding, system design, take-home code review, behavioral STAR, and product sense. Every template below is anchored to real interview constraints — 25-minute coding rounds, 45-minute system design walkthroughs, and the 'tell me about a time you disagreed with a decision' question that shows up in almost every engineering behavioral loop.
The templates assume US tech recruiting context: FAANG-and-adjacent loops with a phone screen, virtual onsite of 4–6 rounds, and a hiring committee review afterward. Coding rounds are typically language-of-your-choice on CoderPad, HackerRank, or a shared IDE; system design rounds are on Excalidraw or a whiteboard; behavioral rounds use STAR scoring rubrics. The prompts below produce material that fits each of those formats without reinventing your prep every cycle.
This content is educational only and is not a substitute for solving real problems on LeetCode, Grokking the System Design Interview, or Educative — the AI helps you rehearse and pattern-match, but you still need to write real code and design real systems on a whiteboard. Never share confidential problems from your current employer or from a prior loop under NDA.
Guides, tips, and deep dives for this prompt category
Create stunning Studio Ghibli-style AI art with 50 free prompts for ChatGPT. Magical landscapes, characters, food scenes, and cozy interiors in Miyazaki style.
Read moreCollectionDesign stunning logos using AI - no designer needed. 35 free prompts for minimal, vintage, tech, food & luxury brand logos. ChatGPT, Midjourney & Gemini tested.
Read moreCopy any prompt below, paste into ChatGPT, Claude, Gemini, or Copilot, and fill in the placeholders in [brackets].
Act as a US tech interview coach. Walk me through this leetcode-style problem in the 6-step interview structure: [paste problem]. Restate the problem, list input constraints, propose a brute-force approach with complexity, propose the optimal approach with complexity, write the code in [language], and dry-run one normal input and one edge case out loud.
Act as a US Staff Engineer interviewer. Produce a one-page system design brief for a [URL shortener / news feed / real-time chat / rate limiter] handling [Y] QPS at peak with [Z] million DAU. Cover: functional and non-functional requirements, capacity estimation, API design, data model, high-level architecture (LB, app tier, cache, DB, CDN), and 2 deep-dive components with trade-offs.
Act as a US engineering hiring manager. Draft a 90-second STAR-format behavioral answer to 'Tell me about a time you disagreed with a technical decision.' Anchor to a real project as a [role] at [company or team], describe the specific decision I disagreed with, the data or argument I brought, how I escalated or de-escalated, and the measured outcome.
Act as a US take-home reviewer. Build a code review checklist for a take-home assignment I'm about to submit for a [role] at [company] in [language]. Cover: readability (naming, structure), correctness (tests written, edge cases), performance (complexity where relevant), error handling, documentation (README with run instructions), and one nice-to-have I should call out in the submission email.
Act as a US debugging coach. Explain what's wrong with this [language] snippet and how to fix it, as if we're pair-programming in an interview: [paste snippet]. Walk through the failure mode step-by-step, propose one hypothesis, verify it with one test case, apply the fix, and describe how I'd talk through this in a real coding round without freezing.
Act as a US SQL interview coach. Walk me through optimizing this slow query for a [PostgreSQL/MySQL/Snowflake] table with [row count] rows: [paste query]. Identify the missing or wrong indexes, whether a JOIN order rewrite helps, whether a CTE-vs-subquery choice matters, and what EXPLAIN ANALYZE output I should expect after the fix. Under 90 seconds spoken.
Act as a US product-sense interviewer. Run me through a 45-minute product-sense case: [feature launch: e.g., 'launch a new feature to increase weekly active users for a workout app' / prioritization: 'you have 3 features and 1 quarter, which do you ship']. Use CIRCLES: Comprehend, Identify user, Report needs, Cut, List solutions, Evaluate trade-offs, Summarize. Produce the answer as I'd say it out loud.
Act as a US tech interview timing coach. Give me a strict 25-minute coding round timing plan: 5 min understand and clarify (2 clarifying questions I always ask), 5 min plan and communicate approach (announce complexity), 10 min code (with narrated running commentary), 5 min test (one normal input, one edge). Include the phrases I say at each transition.
Act as a US tech interview coach. Compare whiteboard vs. IDE preparation for a [company: e.g., Google onsite / Meta virtual onsite] coding round. Include what changes for each format: pseudocode conventions on whiteboard, compile-and-run rhythm in IDE, how to narrate on both, and which tool I should practice more given the specific format used at [company] in 2025.
Act as a US blind (audio-only) interview coach. Prepare me for a phone-screen coding round with no video and no shared IDE — audio only, describing code verbally. Practice giving a walkthrough of [a specific algorithm] in [language] using precise variable names, describing indentation and control flow out loud, and confirming with the interviewer every 60 seconds that they're following.
Act as a US virtual coding interview production coach. Give me a setup checklist for a coding round on CoderPad/HackerRank/Karat tomorrow: dual monitor arrangement (interviewer on primary, IDE on secondary), keyboard shortcuts I need muscle-memory ready in [language], camera at eye level, mic tested, one dry-run test call, and 3 tabs pre-opened for language docs.
Act as a US tech offer negotiation coach. Draft the offer-negotiation approach for a [Senior IC / Engineering Manager] offer at [company]. For senior IC: counter on base 10–15%, ask for equity refresh at 12 months, ask for a signing bonus. For manager: counter on base and total scope (team size, budget, org depth), ask for equity refresh and a stated promotion timeline. Include the exact phrasing.
Act as a US recruiting communications writer. Draft a graceful offer-decline email to [recruiter name] at [company] for a [role] offer of $[amount] total comp. Thank the hiring manager and specific interviewers by name, name one non-comp reason for declining (timing, another offer, scope fit), decline clearly, and leave the door open for a future loop in [X] months.
Act as a US system design coach for second-round loops. Take the [URL shortener / feed / chat / rate limiter] design from my first-round system design and deepen 2 components for a second-round Staff+ interview: the caching layer (hot key handling, cache eviction, invalidation strategy) and the database layer (partitioning key, replication, hot shards). Produce the walkthrough as I'd narrate it in 45 minutes.
Understanding the building blocks lets you adapt any prompt to your own creative direction.
Tell the AI who the output is for and what real workplace situation it should support.
Act as a federal program analyst preparing a plain-language memo for agency leadership.Name the exact deliverable: email, memo, checklist, SOP, meeting recap, training note, or status update.
Format the answer as a one-page briefing with bullets, risks, and next actions.Specify whether the output should sound official, executive-ready, plain-language, or employee-friendly.
Use a professional, neutral, public-sector tone suitable for a US agency audience.For government, HR, finance, healthcare, legal, and compliance workflows, accuracy guardrails matter more than clever wording.
Use only the facts below, flag assumptions, and include a section for items that need verification.Ask the model to surface uncertainty so the user can verify sensitive or official information before using it.
Before finalizing, list compliance risks, missing details, and any claims that need human review.Tested on this prompt category as of mid-2026. Ratings reflect quality for AI Prompts for Tech Interviews specifically.
| Model | Best for | Rating |
|---|---|---|
| ChatGPT (GPT-4o / GPT-5) | Everyday drafting and summaries | |
| Claude Sonnet 4.5 | Long documents and policy | |
| Gemini 2.5 Pro | Grounded in Google workspace | |
| Copilot (M365) | Office 365 integration | |
| Perplexity | Answers with citations |
Ratings reflect suitability for this category. Free tiers available on all listed models. Last tested May 2026 by PromptSpace editors.
About 10 of the 25 minutes on code itself, with 5 to understand and clarify, 5 to plan and announce complexity out loud, and 5 to test with one normal and one edge-case input. Candidates who start coding at minute 2 skip clarification and lose points on missed constraints.
URL shortener, news feed, real-time chat, distributed rate limiter, TinyURL/Instagram/Twitter/Uber-style designs, and increasingly ML-adjacent designs (search ranking, notification systems). Prepare the 6 classic ones cold; the interviewer usually picks a variant.
Anchor to a specific technical or product decision (not a personality clash), describe the data or argument you brought, whether you escalated or accepted the decision, and land with a measurable outcome. Interviewers score on judgment and communication, not on whether you "won."
Take-homes under 4–6 hours for a role at a company you're serious about are fine. If the scope reads like 20 hours of unpaid consulting work, push back and propose a paid trial or a live pair-programming session instead. Signal that your time is valued without being difficult.
Accepting the first offer without countering, and negotiating base only while ignoring equity refresh timing, signing bonus, and PTO. On a $400k total-comp offer, a 10% counter on base plus a $30k signing bonus and a 12-month equity refresh is worth $60k+ in year one and is almost always in bounds.
Learn the basics of creating stunning AI-generated images using prompts from our library.
GuideDiscover the secrets to crafting prompts that produce consistent, high-quality results.
CollectionCopy-paste 100 tested Midjourney v6 prompts: portraits, cinematic, fantasy, product shots & more. Free, updated for 2026 - instant results.
Social MediaCreate scroll-stopping Instagram content with these AI image prompts designed for Reels, Stories, and posts.
Browse our full library of ai prompts for tech interviews — all free, copy-paste ready, no signup.
Or use our AI Prompt Generator to create custom prompts for your exact style in seconds.
Start every session with the target company, target role and level (L4/L5/L6 or IC5/IC6), and the round you're preparing for. Paste the round type ('45-minute system design on a URL shortener with a Staff Engineer'), the interviewer's level, and any signal about their focus (scalability, correctness, code quality). The AI produces sharper output when it knows whether it's rehearsing a coding round for an L4 or a design round for a Staff.
Then work one prompt category per session — coding, system design, behavioral, or product sense — instead of blending them. Time-box each session to 45–60 minutes to mimic the real round length. Record yourself on Loom explaining the answer out loud; watching yourself back is what surfaces the mumbled trade-offs and skipped edge cases that cost points in a real loop.
A 25-minute leetcode-style round breaks down as roughly 5 minutes to understand and clarify, 5 to plan and communicate approach, 10 to code, and 5 to test and discuss trade-offs. The coding-round timing prompt below produces a checklist you can memorize so you never waste 15 minutes coding before you've asked about input constraints or the expected output format.
For each problem, the walkthrough prompt forces the same 6-step structure interviewers score on: restate the problem, identify constraints, propose a brute-force approach, propose an optimal approach with time and space complexity, code it, and dry-run one small and one edge-case input. That structure is what separates candidates who solve the problem from candidates who solve it and pass the round.
A 45-minute system design round follows a predictable arc: requirements (5 min), capacity estimation (5 min), API and data model (10 min), high-level architecture (15 min), deep dive on 2 components (10 min). The system-design brief prompt below walks a specific system — URL shortener, news feed, chat, or rate limiter — through that arc in one page, which is what a Staff-level interviewer expects a candidate to hold in their head.
The trap in system design is going deep too fast. Interviewers score on breadth-first coverage first, then depth on 2 components the interviewer picks. Practice narrating the whole arc in 20 minutes before you drill any single component — most candidates who fail the round fail because they over-detail the database schema and never draw the load balancer, cache, or CDN.
Engineering behavioral rounds ask a bank of ~8 questions that come up every loop: disagreement with a decision, biggest failure, cross-functional conflict, ambiguity, ownership, growth, most complex project, and mentorship. The behavioral STAR prompt below builds one specific 90-second story per question, anchored to your actual project history, not to a fabricated set piece.
For product-sense rounds (increasingly common for senior engineers, staff+, and PM loops), the case prompt walks you through a feature launch or prioritization scenario in the CIRCLES-adjacent frame: Comprehend, Identify user, Report needs, Cut through prioritization, List solutions, Evaluate trade-offs, Summarize. For offers, the negotiation prompts differentiate the senior IC track from the manager track because the levers (equity refresh vs. team scope) are different.
About 10 of the 25 minutes on code itself, with 5 to understand and clarify, 5 to plan and announce complexity out loud, and 5 to test with one normal and one edge-case input. Candidates who start coding at minute 2 skip clarification and lose points on missed constraints.
URL shortener, news feed, real-time chat, distributed rate limiter, TinyURL/Instagram/Twitter/Uber-style designs, and increasingly ML-adjacent designs (search ranking, notification systems). Prepare the 6 classic ones cold; the interviewer usually picks a variant.
Anchor to a specific technical or product decision (not a personality clash), describe the data or argument you brought, whether you escalated or accepted the decision, and land with a measurable outcome. Interviewers score on judgment and communication, not on whether you "won."
Take-homes under 4–6 hours for a role at a company you're serious about are fine. If the scope reads like 20 hours of unpaid consulting work, push back and propose a paid trial or a live pair-programming session instead. Signal that your time is valued without being difficult.
Accepting the first offer without countering, and negotiating base only while ignoring equity refresh timing, signing bonus, and PTO. On a $400k total-comp offer, a 10% counter on base plus a $30k signing bonus and a 12-month equity refresh is worth $60k+ in year one and is almost always in bounds.