Coding Interviews in 2026 Are Harder Than Ever — And You’re Less Prepared Than You Think
Coding interviews have been notoriously tone deaf for years.
Developers have complained about this forever.
They’re not wrong.
The traditional process is a bad proxy for actual work. You’re asked to regurgitate Dijkstra’s algorithm on a whiteboard, when your actual job involves wiring up Lambda functions, debugging a React component, or figuring out why your Next.js deployment cached some old css.
But even if you think the system is broken, it doesn’t matter (in the Rock’s voice). You still have to play the game. And in 2026, the game just got a lot weirder and most developers aren’t prepared.
My View from the Trenches
One of my pet peeves is people who give advice on topics they know nothing about. Career advice especially. Social media is absolutely full of these types. I’ve had people who’ve never written a line of code, telling me to become a plumber.
It’s exhausting.
Last year I went through multiple interviews as a senior software engineer. I also designed the technical interview process for an AI engineering position at the startup I left at the end of the year.
I’ve been on both sides of the table, pretty recently. Beyond that, I talk to dozens of developers personally who’ve gone through their own interview gauntlets and share the details with me because they know I’m a bit obsessed with this stuff.
And over the past year I’ve had probably a hundred or so phone conversations with developers about not just their own interview experiences, but what they’re seeing inside their own companies. That gives me, I think, a fairly unique perspective on what’s actually happening out there outside of big tech interviews which are documented to death.
The Paradox We’re Living
You’re probably not writing much handcrafted artisanal code anymore. Your current job requires working alongside AI. Most of us have shifted into something closer to a director role, steering tools more than writing code ourselves.
And yet your next interview is probably going to test you like it’s 2018.
The gap between how you actually work and what you’re expected to perform has never been wider. You’re walking in less prepared than you used to be, because the one thing that accidentally prepared you before: writing code all day, is now largely outsourced to AI.
The Three Interview Types You’ll Actually Face
Most interviews in 2026 fall into one of these, or some combination:
1. Traditional DSA / Automated Assessment.
LeetCode-style problems via HackerRank, Codility, or similar.
There’s a cold war happening right now between AI-assisted cheating tools and anti-cheat detection.
It’s become a game of whack-a-mole and I’m honestly not sure who’s winning.
What I can tell you from personal experience is that I’ve caught people using these tools, and they are not as undetectable as the shady founders would have you believe. Beyond that, it’s not good for your mojo. Stay away. It’s not worth getting blacklisted over a job.
2. Live AI-Assisted (“Vibe Coding”) Interview
Use your tools, solve a problem in front of someone. Show how you think with AI, not just how you use it. This is gaining traction but usually as an addition to your traditional interview, not a full replacement.
3. Practical Framework Exercise + System Design + Behavioral.
The classic.
Build something in React or Next.js, walk through your code, and answer questions about how you work with people.
System design and behavioral interviews are where most developers fall apart.
On behavioral interviews specifically: people don’t take these seriously enough. As coding becomes less and less of a reliable proxy for how well someone can do the job, companies are leaning harder on behavioral signals.
Most people don’t get fired because of technical errors.
They get fired because of human and behavioral errors.
Behavioral interviews are becoming, if they aren’t already, a higher signal for whether you’ll actually succeed on a team than any coding exercise. Treat them accordingly by building a story bank for all the questions you KNOW you’re going to get.
What You Can Do To Nail Your Interviews
1. Practice with humans, not AI.
I’ll be direct about why I feel so strongly about this. In a final round interview in 2020, I had what I can only describe as a panic attack. My heart was beating out of my chest. I had to pause. It was one of those moments that made it very clear I needed to make interviews a lot less stressful, and I knew the only way to do that was by doing them many, many times over.
Think about a skydiving instructor. For you, jumping out of a plane is the most exciting, terrifying thing you’ve ever done. For them it’s a boring Monday. Not because they’re braver than you, but because they’ve done it a hundred times in the last year and you’ve done it once. That’s the whole secret.
The lowest-stakes practice session with a real human generates infinitely more useful anxiety than any AI mock interview. That anxiety is the thing you’re training, not just the knowledge. Most people are failing interviews because they’re using AI to study. Sites like Pramp and Interviewing.io exist for this. Use them.
PS — if you’re looking to learn Gen AI beyond prompting and move up into AI-first roles then join Parsity.io
2. Record yourself doing practical React/Next.js exercises.
Pick one and do it out loud, explaining what you’re building as you go:
Fetch data from a public API, display it on screen, handle loading and error states.
Build a POST route in Next.js, have the client consume it. Maybe it takes a word input and returns an anagram. Keep it simple. The goal is the pattern.
Watch the recording back. It’ll be uncomfortable. That’s the signal. Get comfortable narrating your technical thinking while your hands are working.
3. Study DSA selectively.
Unless you’re targeting Big Tech, you do not need to master graph traversal or dynamic programming. For most interviews at non-FAANG companies, the problems concentrate around a small set of patterns. Focus here:
Two Pointers
Frequency Counters
Binary Search
String Manipulation
Sliding Window
For each pattern: find 2–3 problems, struggle through them without AI, then find different problems that use the same pattern. The goal is to recognize the shape of a problem, not memorize the answer.
4. Stop memorizing system design. Start reasoning through it.
I made the classic mistake: I read the books, tried to memorize architectural patterns like cramming for a history test and then repeat back that same approach to an interviewer.
Completely useless.
What works: start with the most naive solution, say it out loud, then explain why it breaks down. Layer in complexity as the problem demands. That’s what impresses interviewers.
Know when to reach for a message queue. Know the difference between horizontal and vertical scaling. Know when serverless makes sense versus an always-on server. Know what monitoring you’d add and why. Know when to use SQL versus NoSQL and be able to explain the decision for the specific context.
Alex Xu has some short and effective books on system design, you should check out. System Design 1 and System Design 2 (great names Alex).
Most companies are not operating at Uber scale. If you walk in and immediately go to sharding and CAP theorem, you’re going to sound rigid and out of touch. They want to see how you’d solve their problem. Stay practical. Talk through trade-offs. That’s the game.
5. Don’t Freestyle the Behavioral
What they’re asking… translated.
What they say: That time you had a conflict with a co-worker.
Translated: Do you have an opinion on things and were you in the room where a decision was being made? Also, can you handle disagreement well?
What they say: Technically complex project you worked on and your role?
Translated: Walk me through a project where you had large impact that gives me confidence you can work here.
What they say: Any questions for me?
Translated: You better have some questions for me. Here’s a few: what’s one thing you’d change? What is your on-call process like? What’s your team approach to testing? What’s a major feature on your next quarter’s roadmap?
Bottom Line
The interview process hasn’t caught up with how we actually work, and it may never fully. You don’t get to pick the format you’re walking into. What you can control is how prepared you are.
Practice with humans.
Do practical exercises you can narrate.
Have a tight DSA focus if you’re not going for FAANG.
System design intuition built from reasoning, not memorization.
And behavioral prep you actually take seriously.
Now go do the reps.
PS — if you’re looking to learn Gen AI beyond prompting and move up into AI-first roles then join Parsity.io