New articles cover behavioral prep, system design, and how to use AI for interview practice. Browse by category or read the latest below.
You're stuck. The whiteboard is staring back, mocking your half-baked solution. You've got $O(N^2)$ running time, but the interviewer's raised eyebrow says
You just fired a search query, but before the results even pop up, you type another character.
Your service just got slashdotted. Or maybe your partner team’s janky client started hammering your API with 10,000 requests per second, completely ignorin
You're in a Java LLD interview. The interviewer just asked you to design a task scheduler that prioritizes urgent tasks.
You've probably seen it on a whiteboard: "Design a system that processes tasks with varying priorities." Or, "Implement a custom task scheduler.
You’ve just spent three hours grinding LeetCode Mediums, you’re confident in your HashMap and TreeMap intricacies, you can articulate Big O like it
Alright, so you've got an ML interview coming up, and you're sweating the tree and boosting formulas. I get it.
You just finished a coding evaluation. Your solution works, passes all the tests, and you even squeezed in a few extra optimizations. You feel pretty good.
Remember Sarah? Brilliant engineer, consistently crushes coding challenges. But put her in front of a system design interviewer, asking about optimizing a
You're in a FAANG interview loop, whiteboard marker in hand. The interviewer just dropped a problem about finding the median of a stream of numbers.
You're in a coding interview, the interviewer asks about concurrency, and you confidently blurt out "Okay, synchronized keyword, right?" They nod, then dro
You’re staring at the HackerRank screen, 30 minutes into a 45-minute coding challenge for a Staff ML Engineer role at a pretty cool autonomous driving star
You know that feeling when a new language or framework hits 1.0, and suddenly your LinkedIn feed explodes with breathless takes? Yeah, I do too.
You're in a take-home coding challenge, grinding on a semantic search feature. The prompt says "real-time, low-latency.
You've just coded up a quick isValid(user) function in your favorite language, let's say Python. Inside, you modify user.lastseen = datetime.now().
Forget the fairy tales you hear about SDET interviews—they're not just about clicking buttons in Selenium anymore.
"Should I go into AI or cybersecurity?" My former intern, now a sharp junior engineer at a startup, pinged me this exact question last week.
You've just crushed the optimal algorithm for the LeetCode hard problem. Nailed the dynamic programming, minimal space complexity, O(N log N) time—perfect.
You snagged an interview for an Enterprise LLM Engineering role. Congrats. But let's be real, you're probably wondering what the hell they even ask.
You've probably heard the buzz: "data contracts." Suddenly, every platform team wants one, and every data engineer is talking about them.
Look, you’ve probably heard it. That mid-level SWE market isn't just "competitive" right now; it's brutal.
That inbox notification. We've all seen it. "Congratulations! Your profile matches what we're looking for.
You've got that email. The one with the Calendly link for your first FAANG tech screen. Great.
You just landed the interview for that dream Senior Staff role at Stripe. You’re pumped.
You just got off a call – a FAANG recruiter, buzzing about a Principal Database Architect role.
You asked me what engineering at a “frontier” AI lab is really like. Forget the LinkedIn hype reels, the slick recruitment videos showing people playing pi
You just landed that interview for a Staff Data Engineer role at Google, or maybe a Senior Data Engineer position at a hot AI startup. Congrats.
You just suggested a Kafka cluster for a system that gets 10 requests a minute. My face is doing that thing where I'm trying not to sigh audibly.
Remember that grueling week I had in 2023, prepping for those Staff Engineer interviews? I bombed two of them, flat out.
You've finally landed that AI interview for a Senior MLE role at Anthropic, or perhaps a Staff Research Scientist gig at Google DeepMind.
You asked about Tesla, and let’s be honest, everyone has an opinion. From the outside, it looks like a rocket ship fueled by memes and Elon.
You're grinding through LeetCode, trying to remember that obscure graph algorithm, and your IDE is blinking red. We've all been there.
I've seen the look. That deer-in-headlights stare when a brilliant engineer, who can code circles around most of us, hits the system design whiteboard.
Remember that feeling after the last big reorg? That's kinda how I feel about the state of 2026 tech interviews.
You just shipped that feature, but the client wants "more pizazz"—a custom animation, maybe some real-time data visualization.
You just spent a week grinding LeetCode Mediums, thinking you're ready for that Staff Engineer interview loop at Meta.
Remember Sarah? Brilliant engineer, but last year she bombed her Google loop. She crushed the system design, aced the behavioral, but froze on a relatively
Your calendar invite just confirmed it: you're interviewing for that dream senior AI role.
Look, I've sat across from enough whiteboard-wielding interviewers to tell you this: the strstr() problem, or string searching in general, despite its appa
You’re staring at the interviewer, sweat gathering on your palms. They just hit you with the classic: "What's your greatest weakness?" Your mind races.
You've built and trained models, seen your fair share of NaN losses, and probably debugged more shape mismatches than you care to admit.
Alright, let's cut the crap. You’ve probably heard of the STAR method for behavioral interviews, right? Situation, Task, Action, Result.
That moment when the interviewer says, "Okay, next up: given a string s, return the longest palindromic substring." You know it's coming.
Alright, let's talk system design. You've probably heard the horror stories: whiteboard sessions gone wrong, architects grilling candidates on obscure CAP
You've just spent 30 minutes meticulously implementing a graph algorithm, handling all the edge cases, passing the provided examples.
You just got that email – “We’d like to move forward with your candidacy.” Great! The immediate euphoria fades, replaced by the gnawing dread of whiteboard
You’ve aced the coding challenge, nailed the system design, and charmed the hiring manager.
Remember that feeling? You just passed the coding screen, and now you’re staring down a calendar full of virtual rooms.
That HackerRank challenge, the one where you're struggling to get past the third test case, or the CoderPad screen flickering with a blank page—yeah, I've
You've just spent five hours grinding LeetCode, drafted a killer cover letter for that Staff Eng role at Stripe, and then, completely exhausted, clicked "A
You've probably hit a wall with the "Rotting Oranges" problem, or something equally innocuous-sounding that blew up in your face during an interview.
You're in a data engineering interview. The interviewer, a senior architect with a slightly frayed Patagonia vest, leans back.
You're in the hot seat. The interviewer just dropped the bomb: "Design a simplified Git version manager in Java." Your mind races.
You know that feeling when you're 90 minutes deep into a FAANG coding interview, your brain is melting, and the interviewer asks a follow-up question that
Remember that initial excitement, the "junior dev" glow, when just getting an interview felt like a win? That's long gone.
Remember those awful whiteboard coding sessions where you’d just freeze? Or the behavioral questions where you mumbled something about "synergy" and felt l
You're staring at the whiteboard, heart thumping. The interviewer just asked you to design Snakes and Ladders. You think, "Okay, simple board game.
You just got a calendar invite for a system design interview – "Design an event-driven analytics pipeline for a new social media platform.
So you keep failing technical interviews, especially those sprawling ones where they bounce from system design to some obscure algorithm, then hit you with
You're grinding through another feature, debugging some ancient Python, when a Slack message pops up: "Hey, got a sec? Wanna pick your brain about career s
You’ve heard the whispers
You just got that email – the one from Anthropic or OpenAI. Your stomach probably just dropped, right? Good. That means you get it.
You just finished a take-home coding challenge, felt good about the solution, then got ghosted.
You just got that email, right? "We'd like to schedule you for a loop." Great. Now the real work begins.
You just aced a screening call. The recruiter sounds excited. Then comes the email: "We'd like you to complete a take-home project.
You just landed that interview for your dream staff engineer role at Google, or maybe it's a promising startup looking for their first senior backend hire.
You know that feeling when you've just shipped a huge feature, caught a gnarly bug in production, or maybe just survived a particularly brutal code review?
You just got a message from your manager: "Hey, we're moving all our Spark jobs to Kubernetes. Get familiar with it. Oh, and Airflow too.
You're probably thinking, "Tic-Tac-Toe? Seriously?" I get it. It sounds almost insulting, like they're testing if you can tie your shoes.
You're in the interview. The senior engineer scribbles a SELECT FROM users WHERE email = 'some@email.com'; on the whiteboard.
You're in a tech interview. The interviewer drops a systems design prompt: build a Twitter-like feed, an e-commerce catalog, or a ride-sharing service.
Look, you've probably jammed a dozen interview questions into ChatGPT, hoping for magic. You get some boilerplate, maybe a few good points, but it feels...
You're grinding for that Staff+ role. You've got your systems design down, you've memorized your LeetCode patterns, and then comes the curveball: a coding
You're staring at the whiteboard, heart thumping. The interviewer just dropped the "Allocate Minimum Pages" problem.
"AI will take your job." You've heard it. Every other week, some venture capitalist or tech pundit drops another hot take, predicting the imminent obsolesc
You've spent weeks grinding LeetCode, optimizing every O(N) loop into O(log N), and building a portfolio that makes recruiters drool.
You just nailed the coding challenge, optimized the hell out of that system design, and the hiring manager loved your vision for the product.
You just finished a grueling take-home for a senior staff role, spent 6 hours on a distributed consensus algorithm, and now they want you to find the uniqu
You’ve probably seen the advice: "Just do LeetCode." Or maybe "Read Cracking the Coding Interview.
You just got that email – "We'd love to schedule a technical interview." Your stomach drops a little, right? Even after years in the trenches, the hardest
You just nailed the optimal solution to the maxsubarray problem in your head. You're beaming, ready to write it on the whiteboard.
You just got dinged from Google after the System Design round, even though you nailed the coding.
You just got that email – an interview invite for a Staff Software Engineer role at Google. Awesome. Now the panic sets in.
You’re a solid SWE. You build features, fix bugs, and you've shipped real code. But lately, you've seen the job descriptions for "Staff Engineer, Platform
You just got that email – "Thanks for your interest, we've decided to move forward with other candidates.
You just got that email – an interview invite for a Senior React Native role at a company you actually care about. Your stomach does a little flip. Good.
You know that dread, right? Scrolling LinkedIn, seeing someone with a "Master's in AI" and thinking, "Damn, am I falling behind?" It's a valid question.
Hey, you asked about that gnawing feeling, the one where you're dragging yourself through Jira tickets, dreading the next incident call.
You just got that email – Google, Meta, Netflix. Maybe you're already in a good spot at a solid company, but that little voice whispers, "What if?" You kno
You're staring at that problem description—maybe it's a LeetCode medium, maybe it's a system design prompt your friend leaked from Google—and you've just h
You're a senior engineer, right? You've shipped features, debugged production incidents at 3 AM, and probably mentored a junior or two.
You just spent an hour debugging a gnarly memory leak in a microservice. Your brain's fried.
You've probably sat through a coding interview where the interviewer asked you to reverse a linked list using recursion, or perhaps invert a binary tree.
You’re an English grad, staring down a tech job description, and thinking, "Wait, is this a prank?" I get it.
You're a sharp engineer. You know the drill. LeetCode grind, system design deep dives, behavioral prep. But something's shifted.
You're scrolling LinkedIn, seeing everyone's "I
You just nuked the coding challenge. Your system design was chef's kiss. Then the hiring manager asks, "Tell me about a time you had a conflict with a team
You're staring at a problem description in a platform interview—maybe it's LeetCode, maybe it's something custom for a specific company—and the clock is ti
You're in a whiteboarding interview, heart pounding, and the interviewer just asked you to parse a simple arithmetic expression.
