How to Prepare for Technical Interviews with AI in 2026

Technical interviews are stressful. You know the concepts, you've solved the problems, but when someone is watching you code live, everything feels different.

After going through dozens of interviews, here's the approach that actually worked for me — using AI not as a crutch, but as a practice partner.

Step 1: Practice Out Loud

The biggest mistake in interview prep is practicing silently. You solve a LeetCode problem in your head, nod to yourself, and move on. But real interviews require you to explain your thinking while coding.

Start every practice session by speaking your thought process out loud. Record yourself doing it. The first time you hear yourself explain a binary search implementation, you'll immediately notice where you mumble, pause too long, or skip steps.

Step 2: Use AI as Your Interviewer

Instead of just reading interview questions, have an AI ask you questions and give feedback on your answers. Set up a system prompt with your tech stack and experience level, and let it generate relevant questions.

The key difference from just using ChatGPT: you want a tool that records your verbal answers, transcribes them, and lets you review both the question and your response later. Reading your own transcribed answers is eye-opening.

Step 3: Interview Lap Mode

Real interviews have multiple questions. Practice transitioning between them. Some tools have a "lap" feature where you can mark each question during a session. This lets you review individual questions later without re-listening to the entire session.

I use F8 as a hotkey to mark each new question. At the end of a practice session, I have a clear list of every question I was asked and how I answered each one.

Step 4: Generate Flashcards from Sessions

After a practice session, extract the key concepts you struggled with and turn them into flashcards. Review these before your actual interview. This is more effective than re-reading generic study guides because the flashcards are based on YOUR specific weak points.

Step 5: Review Meeting Summaries

AI-generated summaries of your practice sessions highlight patterns you might miss. Are you consistently weak on system design questions? Do you struggle with time complexity explanations? The summary reveals trends across multiple sessions.

Tools I Use

• LeetCode for coding problems
• inneRVoice for AI practice sessions with recording, transcription, and flashcards
• A whiteboard for system design practice

The goal isn't to memorize answers — it's to practice the skill of thinking and communicating under pressure. Record yourself, review yourself, improve yourself.