Best AI Prompts to Prepare for a Software Engineer Interview in 2026

Explain this LeetCode-style problem to me as if I'm seeing it for the first time: [paste the problem]. Break it down into: (1) what the problem is actually asking in plain English, (2) the brute-force approach and its time/space complexity, (3) the optimal approach — the key insight that makes it efficient — and why it works, (4) a step-by-step walkthrough of the optimal solution in pseudocode, and (5) the common mistakes candidates make on this problem. Then give me 2 follow-up questions an interviewer might ask after I solve it.

I'm struggling with [dynamic programming / two pointers / sliding window / graphs / trees / binary search — pick the one that applies]. Give me: (1) a plain-English explanation of the pattern — when to recognize it in a problem, (2) the general code template for this pattern in [Python / JavaScript / Java / C++], (3) 3 representative problems that use this pattern, from easy to hard, (4) the key questions I should ask myself when deciding whether this pattern applies, and (5) the most common interview questions in this category for [Google / Amazon / Meta / mid-size startups — specify the company tier].

Walk me through the time and space complexity analysis for this solution: [paste your code or describe the algorithm]. I need to be able to explain this to an interviewer in real time. Cover: (1) line-by-line analysis of what contributes to time complexity, (2) a clear Big-O conclusion with justification, (3) space complexity — including call stack for recursion, (4) how the complexity changes if the input changes (e.g., 'what if the array were sorted?'), and (5) how I should verbalize this analysis during the interview — the exact words I'd use.

Give me a mock coding interview for a [junior / mid-level / senior] software engineer role at a [FAANG-tier / mid-size tech company / startup]. Present one LeetCode-style problem at the right difficulty for that level. After I solve it (or attempt it), evaluate: (1) correctness of my solution, (2) time and space complexity, (3) code quality and readability, (4) how I communicated my thinking, and (5) what I should have done differently. Then give me the optimal solution and walk me through it. My preferred language: [Python / JavaScript / Java / C++].

I have a technical phone screen in [X days] for a [junior / mid / senior] SWE role at [Company Name]. Based on the job description below, create a focused 5-day study plan that covers: the most likely problem categories this company tests, one practice problem per day with explanation, key concepts I should be able to explain verbally (not just code), and the 3 most important things to review the night before. Job description: [paste JD]. My current level: [describe — e.g., 'comfortable with arrays and strings, weak on graphs and DP'].

Help me build a STAR-format answer for this behavioral question: '[paste the question — e.g., Tell me about a time you had to push back on a product decision]'. Here is the raw story from my experience: [describe what happened in plain language]. Convert this into a polished STAR answer: Situation (2-3 sentences of context), Task (what I was responsible for), Action (3-5 specific things I did — be concrete, not vague), Result (quantified impact where possible). Keep it under 2 minutes when spoken out loud. Flag anywhere I should add a specific metric or detail to make the impact clearer.

I'm preparing for behavioral interviews at [Company Name] for a [Job Title] role. Generate 8 behavioral questions at the right level for this role — covering: leadership without authority, handling failure, technical disagreements with stakeholders, delivering under time pressure, mentoring junior engineers, and cross-functional collaboration. For each question, give me: (1) why interviewers ask it and what they're evaluating, (2) the key elements a strong answer must include, and (3) a follow-up probe the interviewer might use to test the depth of my answer.

Help me craft a compelling 'Tell me about yourself' answer for my interview at [Company Name] for the [Job Title] role. My background: [2-3 sentences — years of experience, tech stack, notable projects or companies]. I want an answer that: runs 90 seconds when spoken, highlights the experience most relevant to this specific role, makes clear what kind of engineer I am (not just a list of technologies), and ends with a genuine 'why this company / role' bridge. Tone: confident and direct, not a recitation of my resume.

I need a strong answer for 'Tell me about a project you're most proud of' — the standard engineering showcase question. My project: [describe — what it was, your role, the technical challenges, the outcome]. Build an answer that: names the project and stakes quickly (don't spend 30 seconds on context), focuses on the hardest technical decision I made and why, quantifies the business or technical impact, and ends with what I learned that changed how I approach engineering. Target: 90 seconds spoken. Make it sound like an engineer talking to another engineer — not a rehearsed pitch.

Help me prepare to answer 'Tell me about a time you failed' without tanking my candidacy. My real failure story: [describe honestly — what happened, what went wrong, what my role was]. Build an answer that: acknowledges the failure directly without minimizing it, demonstrates clear self-awareness about what I did wrong, describes the specific changes I made as a result, and shows evidence of growth (what I've done differently since). The goal isn't to make the failure look small — it's to make me look like someone who learns fast and takes responsibility. Target: 90 seconds spoken.

Walk me through how to design [a URL shortener / a rate limiter / a distributed cache / a news feed / a ride-sharing service / a video streaming platform — pick one or replace with your target]. Structure the walkthrough as a real interview: (1) Clarify requirements — what questions should I ask to scope the design? (2) Estimate scale — how to think about traffic, storage, and throughput, (3) High-level design — the core components and how they interact, (4) Deep dive — the 2-3 most interesting technical decisions with trade-offs explained, (5) Identify bottlenecks and how I'd address them, and (6) What a strong vs. weak candidate answer looks like for this specific system. My target level: [junior / mid / senior / staff].

I need to practice explaining architectural trade-offs out loud. Give me a system design scenario at [junior / mid-level / senior] difficulty. After I describe my approach, evaluate: (1) whether I clarified requirements before diving in, (2) how well I scaled my design to the stated requirements, (3) the quality of my trade-off reasoning — did I explain why, not just what, (4) whether I addressed consistency, availability, and partition tolerance appropriately, (5) what I missed or glossed over. Give me direct, interviewer-style feedback. I'll describe my approach after you present the scenario.

Help me build a mental framework for system design interviews that I can apply to any problem. Create a structured approach covering: (1) the first 5 minutes — the exact questions I should ask to scope any system design problem, (2) estimation approach — how to estimate QPS, storage needs, and bandwidth without a calculator, (3) the standard components to consider in every design: load balancers, databases (SQL vs. NoSQL decision), caching layer, message queues, CDN, (4) the 3 most common trade-offs that come up in every interview — consistency vs. availability, latency vs. throughput, SQL vs. NoSQL — and how to articulate them, (5) how to handle 'what would you do differently if scale 10x'd?' My target company: [FAANG / mid-size / startup]. My level: [mid / senior / staff].

Explain the CAP theorem to me as if you're helping me prepare to answer 'Explain CAP theorem and how it affected a design decision you made' in an interview. I need: (1) a plain-English explanation of consistency, availability, and partition tolerance, (2) the practical implication for real system design — with concrete examples of systems that choose CA, CP, or AP, (3) a script for how I'd explain this to an interviewer in 2 minutes without getting too theoretical, (4) a real-world trade-off scenario I could reference as a personal design decision story, and (5) follow-up questions an interviewer might ask and how to answer each one.

I'm preparing for a staff engineer / principal engineer system design interview where I'll be expected to design a large-scale distributed system. The system I'm most likely to be asked about based on the role: [describe the company's domain — e.g., 'e-commerce platform with global inventory management']. Help me prepare: (1) a design for this system from first principles, (2) the 3 hardest engineering trade-offs in this design and how to defend my choices, (3) failure modes — what breaks first at 10x scale and how I'd address it, (4) how to signal staff-level thinking vs. senior-level thinking in the interview — what staff candidates say that senior candidates don't, and (5) the questions the interviewer is most likely to use to stress-test my design.

I have an interview at [Company Name] for a [Job Title] role. Do a deep technical research brief on this company for me. I want to know: (1) their primary tech stack and any publicly known architectural decisions or migrations, (2) current engineering challenges they're likely facing based on their scale and recent news, (3) how this role fits into their engineering org — what problem am I being hired to solve, (4) 3 smart technical questions I could ask that would signal genuine engineering curiosity (not questions that can be answered on their website), and (5) anything from their engineering blog, tech talks, or conference presentations that I should reference. Here's the JD: [paste].

Help me prepare a strong answer to 'Why do you want to work at [Company Name]?' that goes beyond generic enthusiasm. What I genuinely find interesting about them: [describe 1-2 real reasons — be honest]. Build a 60-second answer that: references something specific about their engineering culture, technical challenges, or product direction, connects to something genuine in my background and what I want to work on next, and signals that I've done real research — not just read the homepage. Avoid: hollow compliments, things anyone could say, and anything that sounds like I just want any job.

I'm interviewing at [Company Name]. Their engineering blog / tech talk / conference talk mentions [topic or architectural decision]. Help me understand this deeply enough to discuss it intelligently in my interview: (1) explain the technical decision they made and why it makes sense for their scale, (2) the trade-offs they accepted — what they gave up by going this route, (3) 2-3 thoughtful questions I could ask that would show I engaged with this technical content seriously, and (4) how I could relate this to my own experience — even if I haven't worked at their scale.

I'm preparing for a 'culture fit' or 'values' interview at [Company Name]. Research their stated engineering values, leadership principles, or cultural pillars: [paste them or describe what you know]. For each value or principle: (1) give me a STAR-format story framework I could adapt from my own experience, (2) the type of story that would resonate for each one — what interviewers are actually listening for, (3) common ways candidates fail this type of interview — what not to do, and (4) 2 questions I could ask the panel that signal alignment with their culture without being sycophantic.

My interview panel at [Company Name] includes [list the interviewers and their titles from LinkedIn or the interview invite]. For each person on the panel: (1) summarize their background based on what I know or can infer, (2) what they likely care about based on their role — what they're evaluating me on, (3) how to adapt my communication style for each interviewer — an EM cares about different things than a peer engineer or a VP, and (4) one tailored question I should ask each person. Panel: [describe each person's title and what you know about them].

I have a job offer for a [Job Title] role at [Company Name]. The offer is: base salary [$X], annual bonus [%], RSU grant [$Y] vesting over [4 years], signing bonus [$Z]. Help me: (1) calculate total comp year 1, year 3, and year 4 including realistic equity assumptions, (2) benchmark this against market rate for [mid-level / senior / staff] SWEs at [FAANG / public tech company / pre-IPO startup / mid-size tech — specify] in [city / remote], (3) identify what's negotiable and what's typically fixed at this company type, and (4) tell me the realistic ceiling for this negotiation — what's the highest I could reasonably push to based on market data. Data sources to cite: Levels.fyi, Blind, LinkedIn Salary, Glassdoor.

Write me a negotiation script for a software engineering offer from [Company Name]. Current offer: [$X base, $Y RSUs, $Z signing]. My target: [$X+15% base, $Y*1.5 RSUs or a higher signing bonus]. My leverage: [describe — competing offer, strong onsite performance, specialized skill, relocation required]. The script should: (1) open by reaffirming genuine excitement about the role, (2) state my ask clearly — not a range, a specific number, (3) anchor in market data (Levels.fyi / Blind / competing offer) without being aggressive, (4) handle 'our bands are fixed' and 'we can't go higher on base — can we discuss equity?' responses, and (5) close in a way that moves toward yes. Tone: confident, collaborative, not adversarial.

I'm evaluating an offer from [Company Name]. They're offering [$X] in RSUs vesting over 4 years. Help me evaluate this equity component: (1) what is this equity worth at current valuation vs. what it might be worth at 2x and 5x outcomes, (2) what questions should I ask about the RSU refresh policy — when do I get more equity after year 4, (3) how to evaluate equity at a pre-IPO startup vs. a public company — the liquidity risk difference, (4) the questions I should ask HR or the hiring manager about cliff, vesting schedule, and change-of-control provisions, and (5) how to use equity as a negotiating lever if base is capped.

I received competing offers from [Company A] and [Company B]. Company A: [base, RSUs, bonus, benefits, growth potential]. Company B: [base, RSUs, bonus, benefits, growth potential]. Help me: (1) build a side-by-side total comp analysis over 1 year and 4 years, (2) evaluate the non-financial factors — team quality, technical growth, career trajectory, company trajectory, (3) identify which offer is better under which scenarios (e.g., 'Company B wins if equity hits $X, Company A wins if I want stability'), (4) use this competing offer ethically to negotiate with my preferred company — the exact language to mention the competing offer without burning the relationship, and (5) give me a framework for making the final call if they end up at the same number.

I want to negotiate my software engineering compensation with data. Help me: (1) build a research file for [Job Title] at [Company Name] using Levels.fyi, Glassdoor, LinkedIn Salary, and Blind — what specific searches to run and how to interpret the data, (2) identify the most relevant comp data points — same title, same YOE, same location or remote, same company tier, (3) synthesize the data into a defensible number I can cite in negotiation ('my research indicates...' — what is a credible market-rate claim for my profile?), and (4) flag any data sources that skew high or low so I don't cite them incorrectly. My profile: [Job Title], [X years of experience], [primary skills/stack], [location / remote], targeting [company tier].