How to Prepare for a Technical Interview in 2026
The cursor was blinking. That’s what I remember most about my first real technical interview. Not the question, not the interviewer’s face on the Zoom call — the cursor. Blinking at me from an empty code editor, waiting for something I couldn’t give it.
“Implement an LRU cache,” the interviewer had said, like he was asking me to pass the salt.
I knew what an LRU cache was. I’d used one the week before at work. But sitting there, with someone watching my every keystroke, my brain did this thing where it just… emptied. Like someone pulled the plug on a bathtub. Twelve minutes of silence. I typed a class name. Deleted it. Typed it again.
I didn’t get that job.
That was five years ago. Since then I’ve sat on both sides of the table — interviewing at three companies, and running probably sixty-something interviews as a senior engineer. And here’s what I figured out, eventually: the people who get offers aren’t the most brilliant engineers in the room. They’re the ones who realized that interviewing is a skill you train separately. Like public speaking. Like parallel parking.
I don’t know why it took me three failed interviews to get that through my skull.
Before you study a single thing
Picture this: my friend Marc, last year, hunched over his laptop at 11pm, grinding dynamic programming problems. Knapsack variations, longest common subsequences, the whole catalog. Three weeks of this. His girlfriend was ready to kill him.
His interview turned out to be a take-home project and a pair programming session. On their actual codebase. In React.
Three weeks of DP. For a React pair-programming session. I still give him grief about it.
The point: go find out what the company actually asks. Glassdoor, Blind, their engineering blog, their careers page — spend thirty minutes. That’s it. Some companies literally spell it out. “Our interview consists of…” Thirty minutes of research can save you from becoming Marc.
Here’s what you’ll run into out there in 2026:
- Live coding — you, a shared editor, a problem. 30-45 minutes of someone watching you think. Still the most common format.
- Take-homes — “should take 3-4 hours.” It won’t. Budget double.
- System design — mostly for folks with 4+ years. Less about knowing, more about reasoning.
- Pair programming on real code — startups love this. Feels closer to real work, which somehow makes it harder.
- Behavioral — the round that everyone blows off and that quietly eliminates people.
Anyway. Figure out the format first. Everything else flows from that.
The plan I’d follow (knowing what I know now)
Six weeks. That’s the sweet spot if you’re working full-time. An hour a day, maybe ninety minutes when you’re in the zone. If your foundations are solid, compress to four. If you haven’t touched an algorithm since university, stretch to eight. The number doesn’t matter nearly as much as doing something every single day.
Weeks 1-2: finding out where it hurts.
I remember the first time I did this honestly. I sat down with five medium problems — arrays, trees, graphs, a DP one, strings — and gave myself permission to fail. No hints. No Stack Overflow. Just me and the problem.
It was brutal. I stared at a tree problem I know I could’ve solved at work in fifteen minutes. With Google. And a debugger. And no one watching. But stripped of all that, I couldn’t finish it.
That sting? That’s useful. That’s your brain mapping where the holes are. If trees are fine but DP makes you freeze, now you know where to aim. Don’t spend time reviewing things you already know because it feels productive. I did that. It’s just procrastination wearing a study-plan costume.
Two problems a day. Read the editorial after, even when you solved it.
Weeks 3-4: when the patterns click.
There’s this moment — and I can’t tell you when it happens, because it’s different for everyone — where you stop seeing individual problems and start seeing shapes. “Oh, this is a sliding window thing.” “Wait, this is just BFS with extra steps.” That moment is the entire point of these two weeks.
Sliding window, two pointers, BFS/DFS, binary search on answer, basic DP templates. Five to eight problems each, increasing difficulty. Keep a little log — two sentences after each problem. What you missed, what you learned. Sounds tedious. It’s the thing that actually makes the patterns stick.
I kept mine in a text file called interview-notes.md. Very creative naming, I know.
Week 5: system design and the behavioral round nobody prepares for.
System design: learn the building blocks. Load balancers, caching, message queues, SQL vs NoSQL. Practice designing three or four classic systems — URL shortener, chat app, news feed. The trick isn’t memorizing architectures. It’s understanding why you’d pick one thing over another, because the interviewer will challenge every choice.
Behavioral: prep five stories, STAR format. A hard technical problem. A disagreement. A failure. A project you drove. Be honest. Interviewers can smell a rehearsed hero story through a screen. A well-told failure with genuine reflection will always beat “and then I saved the day.”
I used to think the behavioral round was filler. Then I watched three strong engineers get rejected purely because they rambled through their stories without structure. Changed my mind real quick.
Week 6: stop reading, start performing.
If your interview is in 48 hours, skip straight to the technical interview checklist — it covers everything you need to do from now until you walk in.
This is the week that matters more than the other five put together.
Two or three mock interviews. With a human. Not a chatbot. Someone who’ll sit in awkward silence while you think, then ask “can you optimize that?” just when you thought you were done.
And practice out loud. I cannot stress this enough. Say what you’re thinking. “I’m considering a hashmap here, but I’m worried about space…” Say it. Even when it feels ridiculous. Even when the thought is half-formed.
The thing that kills people (I’ve watched it happen)
Here’s a scene I’ve lived through probably thirty times as an interviewer:
A candidate gets the problem. They read it. They nod. And then… silence. Five minutes. Eight minutes. Their cursor moves occasionally. They’re clearly thinking. Maybe even thinking correctly. But I have no idea what’s happening in their head. And when the timer runs out and they haven’t explained their approach, I can’t give them credit for reasoning I never heard.
The silence thing is the number one killer. Not lack of knowledge. Not wrong answers. Silence.
I’ve rejected candidates I suspected were smart enough for the role. Because they coded like they were alone. And in an interview, that’s the one thing you can’t be.
Practice narrating. To a friend, to a wall, to your cat. I once explained merge sort to my coffee mug during a lunch break. My coworker walked in and backed out slowly. But by interview time, talking through my thought process was automatic.
The other two killers are quicker to explain: giving up after five minutes (that’s reading solutions, not practicing — twenty minutes of discomfort is where the actual learning happens), and skipping mediums to chase hard problems because it feels more productive. That second one is pure ego. I know because I did it. And then a medium with a small twist wrecked me in an actual interview.
Making practice stick (the short version)
Revisit problems three to five days later. If you can’t redo them without hints, you didn’t learn the pattern. You just rented it short-term.
Always use a timer. Untimed practice builds false confidence.
Explain solutions out loud. Even alone. Especially alone. My cat has heard more about binary search than any cat should have to endure. She was deeply unimpressed. My interview skills improved anyway.
Mock with real humans. AI tools are fine for drilling problems, but they can’t recreate the social pressure. The follow-up questions. The silence.
Bref. That’s it for the practice section.
Stuff people always ask me
How long does this take? It depends. If you’re solving problems regularly already, maybe four weeks. Coming off a long break, six to eight. The daily consistency matters more than total weeks. One hour a day beats eight hours every other Sunday.
Startups vs big tech? Yeah, different worlds. Big tech is still algo and system design heavy. Startups lean toward take-homes, pair programming, “show us how you think about trade-offs.” Some do both now. Research the company. I keep saying that. I’ll keep saying it.
How do I know when I’m ready? When mediums take you under thirty minutes and you can talk through your approach the whole time. If easy problems still trip you up, you need more time. That’s fine. Better to know than to walk in unprepared and stare at a blinking cursor for twelve minutes.
I probably should’ve organized these better. Oh well.
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